Documentation
¶
Overview ¶
Package bestiary provides a thin wrapper and CLI interface for the models.dev API. It exposes types for AI model metadata and a local SQLite cache for offline use.
Index ¶
- Constants
- func CanonicalizeModifiers(mods []string) []string
- func DefaultDBPath() (string, error)
- func DetectHost(id ModelID) (Host, ModelID)
- func EntityModifiers(mods []string, fam Family) []string
- func ExtractDate(id ModelID, releaseDate string) string
- func ExtractModifier(id ModelID, family Family, variant string) (modifier string, modifierConsumed string)
- func ExtractVersionBetweenFamilyAndVariant(id ModelID, family Family, variant string) (version string, residual []string)
- func ExtractVersionFromID(id ModelID, rawFamily Family) string
- func FamiliesJSONKeyError(data []byte) error
- func FamilyAliasesJSONError(data []byte) error
- func FormatAmbiguous(w io.Writer, e *ErrAmbiguous)
- func FormatModel(w io.Writer, model ModelInfo, format OutputFormat) error
- func FormatModels(w io.Writer, models []ModelInfo, format OutputFormat) error
- func IsEnforcedCanonicalFamily(f Family) bool
- func IsKnownFamily(f Family) bool
- func ParseDataReady() error
- func ParseFamilyDetailed(raw Family, id ModelID, p Provider) (Family, string, string, []string, *ParseFailure)
- func ValidateLineageTable() error
- type AcceptabilityRating
- type CanonicalFilter
- type CanonicalScheme
- type Capability
- type CapabilityUnion
- type Client
- type ClientOption
- type DerivationKind
- type Designation
- type Entity
- type EntityRef
- type ErrAPIUnavailable
- type ErrAmbiguous
- type ErrNotFound
- type Family
- type Harness
- type Host
- type InputFormat
- type LineageEdge
- type LineageRecord
- type Modalities
- type Modality
- type ModelID
- type ModelInfo
- func LookupModel(id ModelID) (ModelInfo, bool)
- func LookupModelByProvider(p Provider, name string) (ModelInfo, bool)
- func MergeModels(static, cached []ModelInfo) []ModelInfo
- func Models() []ModelInfo
- func ModelsByFamily(family Family) []ModelInfo
- func ModelsByProvider(p Provider) []ModelInfo
- func StaticModels() []ModelInfo
- type ModelRef
- type ModifierClass
- type OutputFormat
- type ParseAttempt
- type ParseFailure
- type ParseFailureReason
- type ParseFailuresEnvelope
- type Provider
- type ProviderInstance
- type ResolveOption
- type Store
- func (s *Store) Close() error
- func (s *Store) QueryByCanonical(ctx context.Context, f CanonicalFilter) ([]ModelInfo, error)
- func (s *Store) QueryModel(ctx context.Context, id ModelID) (ModelInfo, error)
- func (s *Store) QueryModels(ctx context.Context, provider Provider) ([]ModelInfo, error)
- func (s *Store) QueryModelsByID(ctx context.Context, id ModelID) ([]ModelInfo, error)
- func (s *Store) UpsertModels(ctx context.Context, models []ModelInfo) error
Constants ¶
const BestiarySchemaVersion = "0.1.0"
BestiarySchemaVersion is the semantic version of the bestiary JSON Schema. It follows semver (major.minor.patch) and must be incremented whenever the schema changes.
Changelog:
- 0.0.2 → 0.0.3: widened the Modifier field string → []string (backward-INCOMPATIBLE public schema change).
- 0.0.3 → 0.1.0: added the v0.2.3 entity-model fields (ModelInfo.Host, ModelInfo.Lineage; ModelRef.Host; new $defs EntityRef, LineageEdge, DerivationKind). Additive and backward-COMPATIBLE: the new fields are optional/zero-value, so 0.0.x records still validate.
const UpstreamGitCommit = "6a41e313"
UpstreamGitCommit is the short Git commit hash of the models.dev repository revision that corresponds to UpstreamSchemaVersion.
const UpstreamGitRemote = "git@github.com:anomalyco/models.dev.git"
UpstreamGitRemote is the canonical Git remote URL for the models.dev repository from which the upstream schema was sourced.
const UpstreamSchemaVersion = "2026.04.04-fd776194f63d717cce255cdfcff5ceaf18dccfe404a54f824a4b00afd354a8c6"
UpstreamSchemaVersion identifies the exact snapshot of the models.dev schema that this bestiary schema was derived from. Format: YYYY.MM.DD-sha256 where sha256 is the full 64 lowercase hex character SHA-256 hash of the upstream schema file (packages/core/src/schema.ts).
Variables ¶
This section is empty.
Functions ¶
func CanonicalizeModifiers ¶ added in v0.2.2
CanonicalizeModifiers returns a NEW slice containing the modifiers de-duplicated (case-insensitively, first spelling wins) and sorted into the canonical order. An empty or all-empty input returns nil (the canonical "no modifiers" value), so the public contract is: empty → nil; single → 1-elem; multiple → canonical-ordered. It never mutates the input slice.
func DefaultDBPath ¶
DefaultDBPath returns the default path for the models database. It uses $XDG_CACHE_HOME/bestiary/models.db, falling back to ~/.cache/bestiary/models.db when XDG_CACHE_HOME is not set.
func DetectHost ¶ added in v0.2.3
DetectHost inspects a model ID for a curated serving-host PREFIX and, on a match, returns the corresponding Host plus the host-stripped ID. For example "azure-gpt-4o" → (HostAzure, "gpt-4o"). When no curated prefix matches it returns (HostNone, id) unchanged.
Detection is intentionally curated and ID-PREFIX-ONLY:
- It NEVER consults the Provider field. A genuine host-as-provider (e.g. provider "azure-cognitive-services" serving a plain "gpt-4o" ID) carries no host prefix on its ID, so Host stays HostNone — the host is implied by the Provider, not duplicated as an instance attribute. This is the guard against the v0.2.2 blanket provider-name strip that erased a backend label.
- Namespaced IDs (org/model, containing "/") are never split, so an org token that merely begins with a host word (e.g. "azure-cognitive-services/gpt-4o") is left untouched and Host stays HostNone.
Host is a per-instance ATTRIBUTE: stripping it makes the remaining (Family,Variant,Version) tuple host-independent, so a host-routed instance shares its entity identity with the plainly-served model.
func EntityModifiers ¶ added in v0.2.3
EntityModifiers returns the IDENTITY-class subset of mods, de-duplicated and in canonical order (see CanonicalizeModifiers). It is the projection used to build the "{identity-mods}" segment of an entity key: attribute-class modifiers are dropped because they do not affect identity. An empty/all-attribute input returns nil (the canonical "no identity modifiers" value).
EntityModifiers is implemented in terms of ClassifyModifier, so it tracks the curated table automatically: a token classifies as identity (and is retained here) unless the table — global or per-family override — demotes it to attribute. Unknown tokens default to identity and are retained.
func ExtractDate ¶
ExtractDate extracts a date string from a model ID or release date field, normalizing to the YYYY-MM-DD form.
Matching priority:
- id is scanned for a YYYYMMDD or YYYY-MM-DD substring.
- If id has no match, releaseDate is scanned.
Returns "" when no date is found in either field. The returned string always uses the YYYY-MM-DD format (hyphens added for YYYYMMDD).
func ExtractModifier ¶ added in v0.2.0
func ExtractModifier(id ModelID, family Family, variant string) (modifier string, modifierConsumed string)
ExtractModifier returns the modifier suffix found at the trailing end of id (after family and variant are resolved) and the literal substring of id that was consumed (including the leading hyphen).
Resolution: after family + variant are known, the function scans the model ID for a trailing "-<modifier>" token where modifier is in the allowlist from parse/data/modifiers.json. Matching is longest-suffix-first so that "think" does not shadow "thinking" when both are seeded.
Return values:
- modifier: the bare modifier token (e.g. "thinking"), or "" when none found.
- modifierConsumed: the substring removed from id (e.g. "-thinking"), or "" when none found.
The caller should strip modifierConsumed from the model ID before passing to ExtractVersionFromID and ExtractDate, so that the modifier token does not pollute version/date heuristics.
ExtractModifier does not modify ModelInfo or ModelRef fields — it is a pure function that returns values for the caller to wire. Pipeline order:
- ParseFamily (raw → family + variant)
- ExtractModifier (id, family, variant) → modifier, consumed
- Strip consumed from id
- ExtractVersionFromID on cleaned id
- ExtractDate on cleaned id
func ExtractVersionBetweenFamilyAndVariant ¶ added in v0.2.2
func ExtractVersionBetweenFamilyAndVariant(id ModelID, family Family, variant string) (version string, residual []string)
ExtractVersionBetweenFamilyAndVariant extracts the numeric version component from a model ID that embeds version digits BETWEEN the normalized family prefix and the variant name. This handles the common case where raw_family does not embed the version but the model ID does:
id="claude-3-5-haiku-20241022", family="claude", variant="haiku" → "3.5" id="claude-3.5-haiku", family="claude", variant="haiku" → "3.5" id="gpt-5-mini", family="gpt", variant="mini" → "5"
Returns (version, residual) where:
- version is the dot-joined leading numeric tokens found between family and variant.
- residual contains any tokens between the version and variant that are neither numeric nor the variant first-token (honest-audit signal).
N-M equivalence: hyphen-separated pure-digit tokens are dot-joined so that "3-5" → "3.5" and "4-6" → "4.6". This brings parity with ParseFamilyWithVersion.
Parity contract: ExtractVersionBetweenFamilyAndVariant fires if and only if detectVersionDigitsInID (parse.go) would also fire on the same (id, family, variant). This invariant is enforced by TestExtractVersionBetweenFamilyAndVariant_Parity (parse_internal_test.go), which asserts: detector fires ⟺ extractor returns non-empty version OR non-empty residual.
Algorithm:
- Normalize the family to a canonical single-word form (first alphabetic token of family for multi-token families like "claude-opus" → "claude").
- Strip "<normalizedFamily>-" prefix from the ID. Return ("","") when absent.
- Strip any trailing compact/dash date from the remainder.
- Tokenize on "-". Collect leading purely-numeric tokens up to the first variant-first-token (or end of tokens if variant is empty).
- Dot-join the numeric tokens → version. Tokens after the numeric run that are neither the variant first-token nor purely-numeric are residual.
func ExtractVersionFromID ¶ added in v0.2.0
ExtractVersionFromID extracts a numeric version (e.g. "4.5", "4.6", "2.5", "4o") from a model ID after stripping the known family prefix. Returns "" if no version-like token follows the family prefix.
This is the ID-as-authoritative-source companion to ParseFamilyWithVersion. It is called by codegen (genToModelInfo) when ParseFamilyWithVersion on the raw family field yields an empty version — which is the common case because the upstream models.dev API family strings do not embed version numbers ("claude-opus" not "claude-opus-4-5"). The model ID is where the version lives ("claude-opus-4-5-20251101", "claude-opus-4-6").
Algorithm:
- Strip "<rawFamily>-" from the start of id. If the ID does not begin with that prefix, return "".
- Strip any trailing compact date (YYYYMMDD or YYYY-MM-DD) from the remainder, since those are not version tokens.
- From the remaining string, attempt version extraction: a. All-hyphen-separated-digit tokens (e.g. "4-5") → dot-join → "4.5" b. Dot-version suffix (e.g. "2.5") → return directly c. Single alphanumeric-suffix token (e.g. "4o") → return as-is d. Otherwise → return ""
Examples:
ExtractVersionFromID("claude-opus-4-5-20251101", "claude-opus") → "4.5"
ExtractVersionFromID("claude-opus-4-6-20250514", "claude-opus") → "4.6"
ExtractVersionFromID("claude-opus-4-6", "claude-opus") → "4.6"
ExtractVersionFromID("gemini-2.5-flash", "gemini") → "2.5"
ExtractVersionFromID("gpt-4o", "gpt") → "4o"
ExtractVersionFromID("claude-opus", "claude-opus") → ""
ExtractVersionFromID("claude-3-5-sonnet-20241022","claude") → "" (non-version interleaved tokens)
func FamiliesJSONKeyError ¶ added in v0.2.2
FamiliesJSONKeyError validates that every non-comment key in the raw families.json-style bytes is a known Family (case-insensitive match against allFamilies). Returns nil when all keys are valid, or an actionable error on the first unrecognised key.
Used by tests to verify the validation contract without modifying the embedded data, and by to validate family_aliases.json target keys.
BDD: Given families.json with a typo key "claud" (should be "claude"), When FamiliesJSONKeyError is called, Then a non-nil error is returned mentioning the bad key.
func FamilyAliasesJSONError ¶ added in v0.2.2
FamilyAliasesJSONError validates the canonical-winner ledger bytes (family_aliases.json shape: {"_comment": ..., "aliases": {key: target, ...}}). Each alias TARGET (the canonical family value) must be a known Family (case-insensitive match against allFamilies). Alias KEYS are mislabels and are deliberately NOT validated — they need not be canonical. Returns nil when every target is valid, or an actionable error on the first unknown target.
Reuses familyKeyKnown so the ledger and families.json share one fail-fast validation contract. Used by initParseData (load-time fail-fast) and by tests to verify the contract without mutating embedded data.
BDD: Given a ledger row {"l3": "lluma"} (typo target), When FamilyAliasesJSONError is called, Then a non-nil error naming the bad target is returned.
func FormatAmbiguous ¶
func FormatAmbiguous(w io.Writer, e *ErrAmbiguous)
FormatAmbiguous writes a human-readable two-section disambiguation message for e to w (typically os.Stderr).
Output format:
bestiary: input "<input>" matched multiple canonicals [no matches in namespace "..." — ... (when PURLMissedNamespace is set)] * = canonical provider Canonical: * <canonical-form> ... (up to 5 rows; "+N more" when >5) Also rehosted by: (omitted when RehostProviders is empty) <provider-name> (one per line, up to 5; "+N more" when >5) <provider-name> ... To see all providers/variants: bestiary list (or: bestiary list --provider <slug>) To resolve an exact model ID: bestiary show <raw-id> --format=raw
Section 1 (Canonical) shows up to 5 representatives from Candidates where the Provider is the canonical/originating provider for the family. Each row is prefixed with "* " to visually mark the canonical origin.
Section 2 (Also rehosted by) lists up to 5 distinct provider names taken directly from ErrAmbiguous.RehostProviders. The section is omitted entirely when RehostProviders is empty.
The function always returns nil; write errors are silently swallowed because this is advisory stderr output — a write failure should not mask the real ErrAmbiguous that the caller surfaces to the user.
func FormatModel ¶
func FormatModel(w io.Writer, model ModelInfo, format OutputFormat) error
FormatModel writes a single model to w in the specified format.
func FormatModels ¶
func FormatModels(w io.Writer, models []ModelInfo, format OutputFormat) error
FormatModels writes a list of models to w in the specified format.
func IsEnforcedCanonicalFamily ¶ added in v0.2.2
IsEnforcedCanonicalFamily reports whether f is in the CLOSED canonical-winner ENFORCE set (parse/data/family_enforce.json) — a curated list of DISTINCT model families that win over a disagreeing raw_family parent/org mislabel (aion, hermes, mixtral, qwq, …). Exposed for the before/after-diff gate (cmd/bestiary-gen): a lateral family change whose AFTER family is in this set is a SANCTIONED ledger correction (the ID-canonical distinct family beat a parent/org mislabel), not a regression — analogous to the "after ∈ registry" signal but for lateral (non-reduction) corrections. The set is curated data, NOT the categorizer's own logic, so this does not rubber-stamp an arbitrary family rewrite.
func IsKnownFamily ¶ added in v0.2.2
IsKnownFamily reports whether f is a CANONICAL registered family — a value present (case-insensitively) in the generated allFamilies registry (families_gen.go), which is derived directly from the upstream models.dev family field. Synthetic OVER-CAPTURE family strings the ID-path may transiently produce (e.g. "claude-opus", "qwen3-vl-72b", "phi-4-mini") are NOT in that registry. Exposed for the before/after-diff gate, which uses "after ∈ registry ∧ before ∉ registry" as an INDEPENDENT, data-grounded signal that a family change reduced an over-capture to its canonical short base (and so is a genuine fix, not a regression) — the registry is curated upstream data, not the reducer's own logic, so the check does not merely rubber-stamp the implementation.
func ParseDataReady ¶
func ParseDataReady() error
ParseDataReady returns the error (if any) from the one-time initialization of the embedded parse data (JSON files + regex compilation). In a correct build the return value is always nil, because the data files are embedded at compile time and the regexes are validated before any release.
This function is primarily useful for startup self-checks and tests. Production code does not need to call it — ParseFamily degrades gracefully when the load fails (see the fail-closed comment inside ParseFamily).
func ParseFamilyDetailed ¶ added in v0.2.0
func ParseFamilyDetailed(raw Family, id ModelID, p Provider) (Family, string, string, []string, *ParseFailure)
ParseFamilyDetailed is the failure-aware companion to ParseFamilyWithVersion. It returns the same three-way decomposition (Family, variant, version) plus an optional *ParseFailure when the parser detects a known incomplete result.
Failure detection covers three modes:
- Version digits trapped between family-prefix and variant: "claude-3-5-haiku-20241022" → the 3-5 version digits are not extracted.
- Suffix overflow: trailing token beyond expected family/variant/version/date. Sub-cases: ReasonKnownSuffixOverflow (token in modifier allowlist) and ReasonUnknownSuffixOverflow (token not in allowlist — extend allowlist).
- YYMM-date-as-version false-positive: a 4-digit numeric segment that looks like a YYMM date (1900–2999 range) but is treated as part of the family/version.
The returned *ParseFailure is an annotation, NOT an error. The function always returns its best-effort family/variant/version values regardless of whether a failure was detected. Callers who need only the parse result can discard the *ParseFailure with _. Callers building an audit log should check failure != nil and accumulate.
Parameters id and p (model ID and provider) are used to populate the failure record fields and are not used in the parse logic itself.
The return order is (family, variant, version, modifier, *ParseFailure). Codegen wiring depends on this exact 5-tuple shape — do NOT reorder.
func ValidateLineageTable ¶ added in v0.2.3
func ValidateLineageTable() error
ValidateLineageTable loads the curated lineage table and returns any load/parse/validation error (nil when the table is well-formed). Codegen calls this once and aborts on a non-nil result so bad curation — an unknown parent family, a malformed entry — is caught at generation time rather than silently dropping lineage at runtime.
Types ¶
type AcceptabilityRating ¶
type AcceptabilityRating int
AcceptabilityRating classifies a Designation by its acceptability status, following ISO 1087 terminology principles.
All designations generated in this epoch default to AcceptabilityAdmitted. Promotion to AcceptabilityPreferred and assignment of AcceptabilityDeprecated are deferred to a follow-up curation epoch.
const ( // AcceptabilityAdmitted is the default rating. The designation is // recognized and may be used, but is not the preferred form. AcceptabilityAdmitted AcceptabilityRating = iota // AcceptabilityPreferred marks the designation as the recommended form. // Currently no designations are promoted to Preferred in this epoch. AcceptabilityPreferred // AcceptabilityDeprecated marks the designation as no longer recommended. // Currently no designations are deprecated in this epoch. AcceptabilityDeprecated )
func (AcceptabilityRating) MarshalJSON ¶
func (r AcceptabilityRating) MarshalJSON() ([]byte, error)
MarshalJSON serializes AcceptabilityRating as a JSON string (e.g. "admitted"). This satisfies the bestiary.schema.json $defs/AcceptabilityRating enum contract, which declares the type as a string — not a number.
func (AcceptabilityRating) String ¶
func (r AcceptabilityRating) String() string
String returns a human-readable label for the rating.
func (*AcceptabilityRating) UnmarshalJSON ¶
func (r *AcceptabilityRating) UnmarshalJSON(b []byte) error
UnmarshalJSON deserializes a JSON string into an AcceptabilityRating. Accepted values: "admitted", "preferred", "deprecated" (case-insensitive). Returns an error if the string is not recognized.
type CanonicalFilter ¶
CanonicalFilter selects models by their parsed canonical axes. Empty fields act as wildcards: an empty Family matches any family, an empty Variant matches any variant, an empty Version matches any version, and an empty Date matches any date. This is the parameter type for Store.QueryByCanonical.
type CanonicalScheme ¶
type CanonicalScheme int
CanonicalScheme identifies the string serialization format for a ModelRef. Callers use it to select how a model identity is expressed as a string, e.g. for CLI output, SBOM generation, or HuggingFace Hub lookups.
const ( // SchemeCanonical is the default slash-separated canonical form: // <provider>/<family>/<variant>@<date> // When no variant is present the variant segment is omitted. // Provider-specific representations (e.g. anthropic/claude-opus-4-20250514) // may be emitted where the canonical triple lacks sufficient granularity. SchemeCanonical CanonicalScheme = iota // SchemeHuggingFace produces the HuggingFace Hub form: // <provider>/<raw-id> // This matches the repo-id used by the HuggingFace Hub API. SchemeHuggingFace // SchemePURL produces a Package URL (purl-spec + ECMA-427) form: // pkg:huggingface/<provider>/<raw-id> SchemePURL // SchemeRaw returns the original API model ID verbatim (string(ModelRef.ID)). SchemeRaw )
func ParseScheme ¶
func ParseScheme(s string) (CanonicalScheme, error)
ParseScheme converts a string to a CanonicalScheme. Accepted values: "canonical", "huggingface", "purl", "raw". Returns an error if the string is not a recognized scheme. Used by CLI flag parsing (--scheme flag in cmd/bestiary).
func (CanonicalScheme) MarshalJSON ¶
func (s CanonicalScheme) MarshalJSON() ([]byte, error)
MarshalJSON serializes CanonicalScheme as a JSON string (e.g. "canonical"). This satisfies the bestiary.schema.json $defs/CanonicalScheme enum contract, which declares the type as a string — not a number.
func (CanonicalScheme) String ¶
func (s CanonicalScheme) String() string
String returns a human-readable name for the scheme. Used in debug output and error messages; not a serialized form.
func (*CanonicalScheme) UnmarshalJSON ¶
func (s *CanonicalScheme) UnmarshalJSON(b []byte) error
UnmarshalJSON deserializes a JSON string into a CanonicalScheme. Accepted values: "canonical", "huggingface", "purl", "raw" (case-insensitive). Returns an error if the string is not recognized.
type Capability ¶
Capability represents a model capability that may carry additional configuration. For most capabilities, Supported is the only relevant field. For interleaved, Config may hold additional details (e.g., {"field": "reasoning_details"}).
type CapabilityUnion ¶ added in v0.2.3
type CapabilityUnion struct {
Reasoning bool
ToolCall bool
Attachment bool
Temperature bool
StructuredOutput bool
Interleaved bool
OpenWeights bool
}
CapabilityUnion is the aggregate capability view across all instances of an entity: each boolean is the OR over the corresponding per-instance capability (an entity "supports" a capability if ANY instance does). The zero value (all-false) is the identity-safe default for an entity with no instances.
type Client ¶
type Client struct {
// contains filtered or unexported fields
}
Client fetches model metadata from the models.dev API. Use NewClient to construct a Client with sensible defaults.
func NewClient ¶
func NewClient(opts ...ClientOption) *Client
NewClient creates a Client with the given options applied on top of defaults. Defaults: 30 s timeout, 2 retries, "https://models.dev/api.json".
func (*Client) FetchModels ¶
FetchModels retrieves all model metadata from the models.dev API. It retries on transient failures (non-2xx responses or network errors) up to c.retries additional times with linear backoff, honouring ctx between attempts.
On final failure it returns *ErrAPIUnavailable so callers can use errors.As to inspect structured fields.
LastSynced on each returned ModelInfo is left empty; the caller must set it when persisting the results.
type ClientOption ¶
type ClientOption func(*Client)
ClientOption is a functional option for configuring a Client.
func WithBaseURL ¶
func WithBaseURL(url string) ClientOption
WithBaseURL overrides the API endpoint. The default is "https://models.dev/api.json".
func WithRetries ¶
func WithRetries(n int) ClientOption
WithRetries sets the number of retry attempts after an initial failure. For example, WithRetries(2) means up to 3 total attempts. The default is 2 retries.
func WithTimeout ¶
func WithTimeout(d time.Duration) ClientOption
WithTimeout sets the HTTP request timeout. The default is 30 seconds.
type DerivationKind ¶ added in v0.2.3
type DerivationKind int
DerivationKind classifies HOW a model was derived from one or more parent models — the edge label on a lineage relationship (see LineageEdge). It is a closed enum: the set of derivation techniques is small and well-understood, so (unlike Host/Provider) a strongly-typed int enum is the right fit.
The zero value is DerivationNone (no derivation / a base model).
const ( // DerivationNone is the zero value: no derivation relationship (a base model). DerivationNone DerivationKind = iota // DerivationFinetune: parameters further trained on additional data // (e.g. dracarys finetuned from llama). DerivationFinetune // DerivationMerge: weights combined from two or more parent models. A merge // edge set carries >= 2 parents. DerivationMerge // DerivationDistillation: a smaller/student model trained to mimic a larger // teacher model. DerivationDistillation // DerivationQuantized: a lower-precision copy of a parent model. DerivationQuantized // DerivationAdapter: a parameter-efficient adapter (e.g. LoRA) applied over // a base model. DerivationAdapter )
func (DerivationKind) MarshalText ¶ added in v0.2.3
func (k DerivationKind) MarshalText() ([]byte, error)
MarshalText implements encoding.TextMarshaler, emitting the canonical wire name (so DerivationKind serializes as a JSON string, not an integer). An out-of-range value is a programming error and yields an actionable error.
func (DerivationKind) String ¶ added in v0.2.3
func (k DerivationKind) String() string
String returns the lowercase wire name of the derivation kind. An out-of-range value renders as "derivationkind(<n>)" so logs never silently drop an unexpected value.
func (*DerivationKind) UnmarshalText ¶ added in v0.2.3
func (k *DerivationKind) UnmarshalText(text []byte) error
UnmarshalText implements encoding.TextUnmarshaler, parsing a canonical wire name back into a DerivationKind. Parsing is case-sensitive against the wire names produced by MarshalText, guaranteeing a lossless round-trip. An unrecognized token yields an actionable error listing the valid values.
type Designation ¶
type Designation struct {
// Value is the serialized model identifier under Scheme.
Value string
// Scheme is the serialization scheme used to produce Value.
Scheme CanonicalScheme
// Provider is the hosting provider associated with this designation.
// For cross-scheme designations (e.g. SchemeRaw) the Provider is the
// original model's hosting provider.
Provider Provider
// Rating classifies acceptability. All epoch-generated designations are
// AcceptabilityAdmitted; promotion is deferred.
Rating AcceptabilityRating
}
Designation pairs a model identity string with its serialization scheme, hosting provider, and acceptability rating.
A single ModelRef may have multiple Designations: a canonical form, a raw API ID form, and optionally provider-specific alias forms. Each carries an AcceptabilityRating. In this epoch all generated designations default to AcceptabilityAdmitted.
type Entity ¶ added in v0.2.3
type Entity struct {
Ref EntityRef
Instances []ProviderInstance
Lineage []LineageEdge
Providers []Provider
Hosts []Host
PriceInputRange [2]*float64
PriceOutputRange [2]*float64
ContextRange [2]int
MaxOutputRange [2]int
Capabilities CapabilityUnion
}
Entity is a model identity (Ref) together with every provider/host instance that serves it and the aggregate views derived from those instances. It is the unit returned by Entities() / EntityByTuple().
Range fields summarize the instances:
- PriceInputRange / PriceOutputRange: [min,max] over the NON-nil instance costs only; when every instance cost is nil the range is {nil,nil} (no nil-deref, no spurious zero). Indices: [0]=min, [1]=max.
- ContextRange / MaxOutputRange: [min,max] over instance context/max-output.
func Entities ¶ added in v0.2.3
func Entities() []Entity
Entities returns every model entity in the static registry, each with its instances and aggregate views populated. The slice is ordered deterministically by first-seen entity key.
The result is a DEFENSIVE DEEP COPY: every returned Entity (and all of its slices and price pointers) is independent of the memoized registry index and of every other returned Entity. Mutating a returned value can never corrupt the registry or alias another entity.
func EntityByTuple ¶ added in v0.2.3
func EntityByTuple(family Family, variant, version string, identityModifiers ...string) (Entity, bool)
EntityByTuple looks up a single entity by its identity tuple: family, variant, version, and any identity-class modifiers. The bool reports whether a matching entity exists. Lookup is by EntityRef.String() equality, so the modifier arguments are order-independent.
The supplied modifiers are passed through EntityModifiers(_, family), the same identity-class projection used to build the index keys: attribute-class tokens are dropped and the remainder canonicalized, so a caller need not pre-filter. The returned Entity is a defensive deep copy (see Entities).
func (Entity) Ancestors ¶ added in v0.2.3
Ancestors returns the transitive set of parent EntityRefs reachable from this entity's lineage, via a cycle-safe depth-first traversal of the curated derivation DAG. The first hop comes from the entity's own Lineage edges (as populated at codegen); deeper hops follow the curated forward index. When the entity carries no edges directly, the curated index keyed by its Ref is used as the seed so a hand-constructed Entity still resolves. A cycle never loops.
func (Entity) Descendants ¶ added in v0.2.3
Descendants returns the transitive set of child EntityRefs derived (directly or indirectly) from this entity, via a cycle-safe depth-first traversal of the curated derivation DAG's reverse edges.
type EntityRef ¶ added in v0.2.3
type EntityRef struct {
Family Family
Variant string
Version string
Modifier []string // identity-class modifiers only, canonical order
}
EntityRef is the canonical IDENTITY of a model entity — the tuple that determines whether two provider/host instances are "the same model". It is the comparable map key for entity grouping (via EntityRef.String) and doubles as the parent reference in a lineage edge (see LineageEdge).
Identity is (Family, Variant, Version) PLUS the identity-class modifiers in Modifier. Crucially:
- Version is the IDENTITY version (e.g. "4.5"), NOT a release date. EntityRef deliberately has NO Date field: a date is a per-release attribute, not part of identity. Do not conflate EntityRef's "@version" with formatCanonical's "@date".
- Modifier holds ONLY identity-class modifiers (see EntityModifiers / ClassifyModifier). Attribute-class modifiers and per-instance attributes (host, price, quant, …) are NEVER part of EntityRef and NEVER appear in the key string.
Because Modifier is a slice, an EntityRef value is not itself comparable and cannot be used directly as a map key; use EntityRef.String() as the key.
func (EntityRef) String ¶ added in v0.2.3
String returns the canonical comparable key for this entity:
family[/variant][@version]{identity-mods}
Rules:
- "/variant" is appended only when Variant is non-empty.
- "@version" is appended only when Version is non-empty (this is the IDENTITY version, never a date).
- "{identity-mods}" is appended only when at least one identity modifier is present; the tokens are de-duplicated and rendered in canonical order (CanonicalizeModifiers), comma-separated. The braces are OMITTED entirely when there are no identity modifiers.
- The "[attributes]" segment is NEVER part of this key (attributes do not affect identity).
Two EntityRefs whose Modifier slices are permutations of the same identity-mod set produce the IDENTICAL key.
type ErrAPIUnavailable ¶
ErrAPIUnavailable is returned when the models.dev API cannot be reached after one or more attempts. Cause holds the underlying network or HTTP error.
Use errors.As to extract structured fields; use Unwrap to inspect the root cause via errors.Is.
func (*ErrAPIUnavailable) Error ¶
func (e *ErrAPIUnavailable) Error() string
Error implements the error interface. Format: "bestiary: API unavailable after <n> attempt(s) at <url>: <cause>"
func (*ErrAPIUnavailable) Unwrap ¶
func (e *ErrAPIUnavailable) Unwrap() error
Unwrap returns the underlying cause so that errors.Is and errors.As can traverse the error chain.
type ErrAmbiguous ¶
type ErrAmbiguous struct {
// Input is the raw string passed to Resolve.
Input string
// Scheme is the CanonicalScheme that was active during resolution.
Scheme CanonicalScheme
// Candidates lists all matching ModelRefs, grouped by distinct Canonical.
Candidates []ModelRef
// PURLMissedNamespace is set when the PURL namespace (provider segment) had
// zero matches and a loose-match fallback was performed. The value is the
// namespace string that missed (e.g. "totally-unknown-ns").
// Empty when no PURL namespace miss occurred.
PURLMissedNamespace string
// RehostProviders is the deduplicated list of providers (in stable first-seen
// order) that host at least one of the matching models but are NOT the
// canonical/originating provider for the family. Populated at both ErrAmbiguous
// construction sites in resolve.go (multi-group case and PURL loose-fallback
// case). Empty when no rehost providers exist in the match set.
RehostProviders []Provider
}
ErrAmbiguous is returned by Resolve when the input string matches models with two or more distinct Canonical identities (e.g., "claude" matches claude/opus, claude/sonnet, and claude/haiku simultaneously).
It is distinct from cross-provider hosting: if multiple providers host the same Canonical, Resolve returns []ModelRef with err == nil.
What: the raw input string that triggered the ambiguity. Scheme: the CanonicalScheme used during resolution. Candidates: the list of ModelRefs that matched, one per distinct Canonical. PURLMissedNamespace: when non-empty, identifies the PURL namespace (provider) that had zero matches, triggering a loose-match fallback. (Fix #1)
Use errors.As to extract structured fields. The Error() message names all 6 actionable-error elements per [C-actionable-errors]:
- What went wrong (ambiguous input),
- Why it happened (multiple distinct canonicals matched),
- Where it failed (Resolve),
- When it failed (during model lookup / resolution step),
- What it means for the caller (the query cannot be resolved unambiguously),
- How to fix it (refine input or use --format=raw).
func (*ErrAmbiguous) Error ¶
func (e *ErrAmbiguous) Error() string
Error implements the error interface with an actionable message. All 6 elements from the [C-actionable-errors] constraint are present: What, Why, Where, When, What it means for the caller, and How to fix.
type ErrNotFound ¶
type ErrNotFound struct {
// What describes the resource kind that was not found (e.g., "model").
What string
// Key is the identifier that was searched for (e.g., model ID).
Key string
}
ErrNotFound is returned when a requested resource cannot be located in the local store or remote API.
What identifies the resource kind (e.g., "model"), and Key is the lookup value that was not found. Use errors.As to extract structured fields.
ErrNotFound has no Unwrap method by design: it is a sentinel-style error with no wrapped cause. Use errors.As to match.
func (*ErrNotFound) Error ¶
func (e *ErrNotFound) Error() string
Error implements the error interface. Format: "bestiary: <what> not found: <key>"
type Family ¶
type Family string
Family identifies the model family from the models.dev API. It is a named string type for type safety, following the same pattern as Provider.
const ( FamilyHy Family = "Hy" FamilyAllam Family = "allam" FamilyAllenai Family = "allenai" FamilyAlpha Family = "alpha" FamilyAura Family = "aura" FamilyAuto Family = "auto" FamilyBaichuan Family = "baichuan" FamilyBart Family = "bart" FamilyBge Family = "bge" FamilyBigPickle Family = "big-pickle" FamilyCanopylabs Family = "canopylabs" FamilyChutesai Family = "chutesai" FamilyClaude Family = "claude" FamilyClaudeHaiku Family = "claude-haiku" FamilyClaudeOpus Family = "claude-opus" FamilyClaudeSonnet Family = "claude-sonnet" FamilyCodestral Family = "codestral" FamilyCodestralEmbed Family = "codestral-embed" FamilyCogito Family = "cogito" FamilyCohereEmbed Family = "cohere-embed" FamilyCommand Family = "command" FamilyCommandA Family = "command-a" FamilyCommandR Family = "command-r" FamilyDallE Family = "dall-e" FamilyDeepSeek Family = "deepseek" FamilyDeepSeekFlash Family = "deepseek-flash" FamilyDeepSeekFlashFree Family = "deepseek-flash-free" FamilyDeepSeekThinking Family = "deepseek-thinking" FamilyDevstral Family = "devstral" FamilyDistilbert Family = "distilbert" FamilyElevenlabs Family = "elevenlabs" FamilyErnie Family = "ernie" FamilyFlux Family = "flux" FamilyGemini Family = "gemini" FamilyGeminiEmbedding Family = "gemini-embedding" FamilyGeminiFlash Family = "gemini-flash" FamilyGeminiFlashLite Family = "gemini-flash-lite" FamilyGeminiPro Family = "gemini-pro" FamilyGemma Family = "gemma" FamilyGLM Family = "glm" FamilyGLMAir Family = "glm-air" FamilyGLMFlash Family = "glm-flash" FamilyGLMFree Family = "glm-free" FamilyGLMZ Family = "glm-z" FamilyGlmv Family = "glmv" FamilyGPT Family = "gpt" FamilyGPTCodex Family = "gpt-codex" FamilyGPTCodexMini Family = "gpt-codex-mini" FamilyGPTCodexSpark Family = "gpt-codex-spark" FamilyGPTImage Family = "gpt-image" FamilyGPTMini Family = "gpt-mini" FamilyGPTNano Family = "gpt-nano" FamilyGPTOss Family = "gpt-oss" FamilyGPTPro Family = "gpt-pro" FamilyGranite Family = "granite" FamilyGrok Family = "grok" FamilyGrokBuild Family = "grok-build" FamilyGroq Family = "groq" FamilyHermes Family = "hermes" FamilyHunyuan Family = "hunyuan" FamilyHy3Free Family = "hy3-free" FamilyIdeogram Family = "ideogram" FamilyImagen Family = "imagen" FamilyIndictrans Family = "indictrans" FamilyIntellect Family = "intellect" FamilyJais Family = "jais" FamilyJamba Family = "jamba" FamilyKatCoder Family = "kat-coder" FamilyKimi Family = "kimi" FamilyKimiFree Family = "kimi-free" FamilyKimiK25 Family = "kimi-k2.5" FamilyKimiK26 Family = "kimi-k2.6" FamilyKimiThinking Family = "kimi-thinking" FamilyLing Family = "ling" FamilyLingFlashFree Family = "ling-flash-free" FamilyLiquid Family = "liquid" FamilyLlama Family = "llama" FamilyLongcat Family = "longcat" FamilyLucid Family = "lucid" FamilyLyria Family = "lyria" FamilyM2m Family = "m2m" FamilyMagistral Family = "magistral" FamilyMagistralMedium Family = "magistral-medium" FamilyMagistralSmall Family = "magistral-small" FamilyMai Family = "mai" FamilyMelotts Family = "melotts" FamilyMercury Family = "mercury" FamilyMimo Family = "mimo" FamilyMimoFlashFree Family = "mimo-flash-free" FamilyMimoOmniFree Family = "mimo-omni-free" FamilyMimoProFree Family = "mimo-pro-free" FamilyMimoV2Omni Family = "mimo-v2-omni" FamilyMimoV2Pro Family = "mimo-v2-pro" FamilyMimoV25 Family = "mimo-v2.5" FamilyMimoV25Free Family = "mimo-v2.5-free" FamilyMimoV25Pro Family = "mimo-v2.5-pro" FamilyMiniMax Family = "minimax" FamilyMiniMaxFree Family = "minimax-free" FamilyMiniMaxM25 Family = "minimax-m2.5" FamilyMiniMaxM27 Family = "minimax-m2.7" FamilyMinistral Family = "ministral" FamilyMistral Family = "mistral" FamilyMistralEmbed Family = "mistral-embed" FamilyMistralLarge Family = "mistral-large" FamilyMistralMedium Family = "mistral-medium" FamilyMistralNemo Family = "mistral-nemo" FamilyMistralSmall Family = "mistral-small" FamilyMixtral Family = "mixtral" FamilyMmPoly Family = "mm-poly" FamilyModelRouter Family = "model-router" FamilyMorph Family = "morph" FamilyNanoBanana Family = "nano-banana" FamilyNemotron Family = "nemotron" FamilyNemotronFree Family = "nemotron-free" FamilyNousresearch Family = "nousresearch" FamilyNova Family = "nova" FamilyNovaLite Family = "nova-lite" FamilyNovaMicro Family = "nova-micro" FamilyNovaPro Family = "nova-pro" FamilyO Family = "o" FamilyOMini Family = "o-mini" FamilyOPro Family = "o-pro" FamilyOsmosis Family = "osmosis" FamilyPalmyra Family = "palmyra" FamilyPangu Family = "pangu" FamilyPhi Family = "phi" FamilyPixtral Family = "pixtral" FamilyPlamo Family = "plamo" FamilyQvq Family = "qvq" FamilyQwen Family = "qwen" FamilyQwenFree Family = "qwen-free" FamilyQwen35 Family = "qwen3.5" FamilyQwen36 Family = "qwen3.6" FamilyQwen37Max Family = "qwen3.7-max" FamilyQwerky Family = "qwerky" FamilyRay Family = "ray" FamilyRecraft Family = "recraft" FamilyRednote Family = "rednote" FamilyReka Family = "reka" FamilyRing Family = "ring" FamilyRing1TFree Family = "ring-1t-free" FamilyRnj Family = "rnj" FamilyRunway Family = "runway" FamilySarvam Family = "sarvam" FamilySeed Family = "seed" FamilySmartTurn Family = "smart-turn" FamilySolarMini Family = "solar-mini" FamilySolarPro Family = "solar-pro" FamilySonar Family = "sonar" FamilySonarDeepResearch Family = "sonar-deep-research" FamilySonarPro Family = "sonar-pro" FamilySonarReasoning Family = "sonar-reasoning" FamilySora Family = "sora" FamilyStableDiffusion Family = "stable-diffusion" FamilyStep Family = "step" FamilyTako Family = "tako" FamilyTextEmbedding Family = "text-embedding" FamilyTitanEmbed Family = "titan-embed" FamilyTngtech Family = "tngtech" FamilyTopazlabs Family = "topazlabs" FamilyTrinity Family = "trinity" FamilyTrinityMini Family = "trinity-mini" FamilyUnsloth Family = "unsloth" FamilyV0 Family = "v0" FamilyVenice Family = "venice" FamilyVeo Family = "veo" FamilyVoxtral Family = "voxtral" FamilyVoyage Family = "voyage" FamilyWhisper Family = "whisper" FamilyYi Family = "yi" )
FamilyMythologic and FamilyHuginn are the two parent base families of the MythoMax-L2-13B merge. MythoMax is a weight merge of MythoLogic-L2 and Huginn, so the merge edge carries these as STANDALONE parent families (not as llama-variants): the parents are distinct artifacts in their own right, and a merge by definition combines >= 2 separate parents. Neither is emitted by the API as a base family value, so both are registered here so lineage parent-validation recognizes them.
const FamilySolar Family = "solar"
FamilySolar is the curated base family for Upstage's SOLAR models. The models.dev API never emits a bare "solar" family value — only the variant-qualified solar-mini / solar-pro reach allFamilies (families_gen.go) — yet the base family is needed as a valid lineage derivation PARENT (a SOLAR finetune names "solar" as its base). It is registered here as a hand-curated supplement to the generated set; see curatedBaseFamilies.
func Families ¶
func Families() []Family
Families returns all known Family values as a defensive copy.
func InferFamilyFromID ¶
InferFamilyFromID is the empty-family fallback for models whose API family field is empty (~25% of models). It uses the model ID as a heuristic signal.
Algorithm:
- Split id on "-".
- Consume trailing tokens that are purely version-like (all digits, or match a version pattern) — these are noise, not signal.
- Take the first remaining token as the inferred family.
- Return "" when no alphabetic-leading token is found.
The provider parameter is reserved for future provider-specific heuristics and is not currently used.
func InferFamilyFromIDWithVariant ¶ added in v0.2.0
InferFamilyFromIDWithVariant is the extended empty-family fallback for models whose API family field is empty (~25% of models). Unlike InferFamilyFromID, it extracts (Family, Variant, Version) by:
- Attempting the Δ2′ modifier-strip path: tentatively strip a trailing modifier to expose a hidden date, then decompose and apply two commit guards.
- Existing flow: strip trailing date, feed ID to ParseFamilyWithVersion, then fall back to first-token-only if no decomposition found.
This ensures (Family, Variant, Version) is consistent across providers regardless of whether raw_family is empty or populated.
Examples:
InferFamilyFromIDWithVariant("claude-opus-4-5-20251101", "nano-gpt") → ("claude", "opus", "4.5")
InferFamilyFromIDWithVariant("claude-opus-4-6", "some-provider") → ("claude", "opus", "4.6")
InferFamilyFromIDWithVariant("gpt-4o", "openai") → ("gpt", "", "4o")
InferFamilyFromIDWithVariant("claude-opus-4-1-20250805-thinking", "302ai") → ("claude", "opus", "4.1")
The provider parameter is reserved for future provider-specific heuristics and is not currently used.
this is a thin wrapper that applies the letter-prefix series split to the inner inference result, so the empty-raw primitive is SELF-CONSISTENT with the canonical ParseFamilyDetailed path (kimi-k2 → (kimi,k,2), minimax-m1 → (minimax,m,1), and the compound-family recovery kimi-k2-0905 → kimi).
func ParseFamily ¶
ParseFamily takes a raw API family value and returns (Family, variant).
Resolution order (first match wins):
- family_overrides table — explicit (raw → Family, variant) mappings.
- Versioned-variant patterns — v/k/m/no-prefix and hyphen-separated versions. For hyphen-version matches, the non-numeric prefix is itself resolved via overrides.
- Suffix-stripping table — strip the longest matching suffix to identify variant.
- Fallback — return (raw, "") unchanged.
ParseFamily is deterministic: the same input always produces the same output. Empty raw returns ("", "").
func ParseFamilyWithVersion ¶ added in v0.2.0
ParseFamilyWithVersion takes a raw API family value and returns (Family, variant, version) — a three-way decomposition that separates the semantic model version (e.g. "4.5") from the variant (e.g. "opus").
This is an additive companion to ParseFamily. For inputs that ParseFamily already handles correctly (overrides, v/k/m/no-prefix patterns, suffix stripping), the family and variant return values are identical to ParseFamily. The new third return value extracts the numeric version component when the raw family string embeds one via the hyphen-version pattern or a dot-version tail (e.g. "gemini-2.5-flash").
Resolution order (first match wins):
- family_overrides table — no version for override entries.
- hyphen-version pattern — converts hyphenated digits to dot notation: "claude-opus-4-5" → (claude, opus, 4.5); "llama-3-1" → (llama, "", 3.1).
- Other versioned patterns (v/k/m/no-prefix) — version stays in variant, version="".
- Suffix stripping + dot-version detection: "gemini-2.5-flash" → suffix strip yields base="gemini-2.5"; detect "-N.M" tail → (gemini, flash, 2.5).
- Dot-version fallback: "gemini-2.5" → (gemini, "", 2.5).
- Pure fallback — same as ParseFamily, version="".
ParseFamilyWithVersion is deterministic. Empty raw returns ("", "", "").
func (Family) CanonicalProvider ¶ added in v0.2.0
CanonicalProvider returns the originating/canonical provider for this Family.
When the family is a well-known model family with a clear original publisher, the canonical provider is returned. When the family has no canonical mapping (community models, multi-org models, or unmapped families), the empty Provider is returned. Resolve falls back to ErrAmbiguous in that case.
The mapping is a static switch populated at source time. Unknown families use the empty string sentinel rather than a wrong-but-plausible guess.
TODO: review and fill in additional canonical-provider mappings beyond the initial well-known set.
func (Family) IsKnown ¶
IsKnown reports whether f is a recognized Family. The known set is generated from the models.dev API at codegen time (allFamilies, families_gen.go) plus the hand-curated curatedBaseFamilies supplement (base families the API omits but that lineage / canonical references depend on, e.g. "solar").
func (Family) MarshalText ¶
MarshalText implements encoding.TextMarshaler. It is permissive: any Family value (known or unknown) can be marshaled.
func (*Family) UnmarshalText ¶
UnmarshalText implements encoding.TextUnmarshaler. It is permissive: any byte slice is accepted; use IsKnown() to validate.
type Harness ¶
type Harness string
Harness identifies the coding tool or AI-assisted development environment that is driving the model interaction.
func Harnesses ¶
func Harnesses() []Harness
Harnesses returns all known Harness values. The returned slice is a defensive copy — modifying it does not affect the package state.
func (Harness) MarshalText ¶
MarshalText implements encoding.TextMarshaler.
func (*Harness) UnmarshalText ¶
UnmarshalText implements encoding.TextUnmarshaler. It accepts any string value; use IsKnown() to validate.
type Host ¶ added in v0.2.3
type Host string
Host identifies the serving host / backend infrastructure that actually runs a model instance, as distinct from the Provider (the organization that offers or sells access to it). The same logical model+provider may be served from different backends (e.g. an OpenAI model served via Azure), and the same host may back many providers. Host is therefore a per-instance ATTRIBUTE: it never participates in entity identity (see EntityRef) and is rendered in the "[attributes]" segment of a canonical string, never in the "{identity-mods}" key segment.
Host is a string type (not a closed int enum) for the same reason Provider is: the set of serving backends is open and grows over time. Well-known hosts have named constants for type-safe call sites; unrecognized hosts are still representable verbatim. The curated host table (parse/data/hosts.json) that populates ModelInfo.Host from the raw API data is owned by a later slice; this slice only fixes the type contract and a seed set of constants.
const ( // HostNone is the zero value: the serving host is unknown or unspecified. // A genuine "no distinct host" record (e.g. a provider serving its own // model directly) is also represented as HostNone. HostNone Host = "" // HostAzure is Microsoft Azure (e.g. Azure OpenAI / Azure AI Foundry). HostAzure Host = "azure" // HostAWS is Amazon Web Services (e.g. Bedrock / SageMaker). HostAWS Host = "aws" // HostGCP is Google Cloud Platform (e.g. Vertex AI). HostGCP Host = "gcp" // HostCloudflare is Cloudflare (e.g. Workers AI). HostCloudflare Host = "cloudflare" )
type InputFormat ¶ added in v0.2.0
type InputFormat string
InputFormat specifies the input scheme for parsing a model identity string in the bestiary show command.
The default is InputFormatPeasant (bestiary canonical form). Other formats must be explicitly selected via --format on the CLI.
const ( // InputFormatPeasant is the bestiary canonical form: // [<provider>/]<family>[/<variant>[/<version>]][@<date>] // This is the default input format. InputFormatPeasant InputFormat = "peasant" // InputFormatHuggingFace is the HuggingFace Hub form: // <provider>/<raw-model-id> InputFormatHuggingFace InputFormat = "huggingface" // InputFormatPURL is the Package URL (PURL) form: // pkg:huggingface/<provider>/<raw-model-id> InputFormatPURL InputFormat = "purl" // InputFormatRaw is the raw API model ID (exact match): // <raw-model-id> InputFormatRaw InputFormat = "raw" )
func ParseInputFormat ¶ added in v0.2.0
func ParseInputFormat(s string) (InputFormat, error)
ParseInputFormat converts a --format flag string to an InputFormat. Accepted values: "peasant", "huggingface", "hf", "purl", "raw" (case-insensitive). Returns an error if the string is not a recognized input format. Used by CLI flag parsing (--format flag in cmd/bestiary show).
type LineageEdge ¶ added in v0.2.3
type LineageEdge struct {
Parent EntityRef
Kind DerivationKind
}
LineageEdge is one directed derivation relationship: this model was derived from Parent via technique Kind. A model with multiple parents (e.g. a MERGE) carries multiple LineageEdges; Parent is a full EntityRef so a parent can be resolved to its own entity (and its own ancestors) for DAG traversal.
func LineageFor ¶ added in v0.2.3
func LineageFor(id ModelID) []LineageEdge
LineageFor returns the curated parent derivation edges for the model identified by id, or nil when no lineage is curated for it. It is the population entry point used by codegen to bake ModelInfo.Lineage, and a convenience over LineageRecordFor when the provenance flags are not needed.
type LineageRecord ¶ added in v0.2.3
type LineageRecord struct {
Child EntityRef
Edges []LineageEdge
Real bool
}
LineageRecord is the curated lineage of a single model: the set of parent derivation edges plus the provenance flags that describe how the record was sourced. It is returned by LineageRecordFor.
- Child is the child model's identity as a node in the derivation DAG (used by Ancestors / Descendants traversal).
- Edges holds one LineageEdge per parent. A MERGE carries >= 2 edges.
- Real reports whether the child model exists in the models.dev catalog (an attested record). When false the entry is a SYNTHETIC / catalog-absent fixture: the child itself is not in the catalog (only its parents are), and the edge is curated-only. The flag exists so consumers never mistake a synthetic fixture for an attested catalog lineage.
func LineageRecordFor ¶ added in v0.2.3
func LineageRecordFor(id ModelID) (LineageRecord, bool)
LineageRecordFor returns the curated LineageRecord for the model identified by id, and whether one exists. Matching is by the curated child key (the lowercase model ID or its post-'/' segment), so it resolves both bare and namespaced ID forms — and SYNTHETIC / catalog-absent children too (their Real field is false).
type Modalities ¶
Modalities groups the input and output modalities supported by a model.
type Modality ¶
type Modality int
Modality represents a type of input or output an AI model can process.
func (Modality) MarshalText ¶
MarshalText implements encoding.TextMarshaler.
func (Modality) String ¶
String returns the human-readable name of the modality. For out-of-range values it returns "Modality(<n>)" rather than panicking.
func (*Modality) UnmarshalText ¶
UnmarshalText implements encoding.TextUnmarshaler.
type ModelID ¶
type ModelID string
ModelID is the canonical identifier for an AI model (e.g., "claude-3-5-sonnet-20241022").
const ( Model__302AI__ChatGPT__4o__Latest ModelID = "chatgpt-4o-latest" Model__302AI__Claude__3__5__Haiku__3_5__20241022 ModelID = "claude-3-5-haiku-20241022" Model__302AI__Claude__3__5__Haiku__3_5__Latest ModelID = "claude-3-5-haiku-latest" Model__302AI__Claude__Haiku__4_5 ModelID = "claude-haiku-4-5" Model__302AI__Claude__Haiku__4_5__20251001 ModelID = "claude-haiku-4-5-20251001" Model__302AI__Claude__Opus__4_1__20250805 ModelID = "claude-opus-4-1-20250805" Model__302AI__Claude__Opus__4_1__Thinking__20250805 ModelID = "claude-opus-4-1-20250805-thinking" Model__302AI__Claude__Opus__4_5 ModelID = "claude-opus-4-5" Model__302AI__Claude__Opus__4_5__20251101 ModelID = "claude-opus-4-5-20251101" Model__302AI__Claude__Opus__4_5__Thinking__20251101 ModelID = "claude-opus-4-5-20251101-thinking" Model__302AI__Claude__Opus__4_6 ModelID = "claude-opus-4-6" Model__302AI__Claude__Opus__4_6__Thinking ModelID = "claude-opus-4-6-thinking" Model__302AI__Claude__Opus__4_7 ModelID = "claude-opus-4-7" Model__302AI__Claude__Opus__4__20250514 ModelID = "claude-opus-4-20250514" Model__302AI__Claude__Sonnet__4_5 ModelID = "claude-sonnet-4-5" Model__302AI__Claude__Sonnet__4_5__20250929 ModelID = "claude-sonnet-4-5-20250929" Model__302AI__Claude__Sonnet__4_5__Thinking__20250929 ModelID = "claude-sonnet-4-5-20250929-thinking" Model__302AI__Claude__Sonnet__4_6 ModelID = "claude-sonnet-4-6" Model__302AI__Claude__Sonnet__4_6__Thinking ModelID = "claude-sonnet-4-6-thinking" Model__302AI__Claude__Sonnet__4__20250514 ModelID = "claude-sonnet-4-20250514" Model__302AI__DeepSeek__Chat ModelID = "deepseek-chat" Model__302AI__DeepSeek__Reasoner__Thinking ModelID = "deepseek-reasoner" Model__302AI__DeepSeek__V3__2 ModelID = "deepseek-v3.2" Model__302AI__DeepSeek__V3__2__Thinking ModelID = "deepseek-v3.2-thinking" Model__302AI__Doubao__Seed__1__6__Thinking__250715__1_6__Thinking ModelID = "doubao-seed-1-6-thinking-250715" Model__302AI__Doubao__Seed__1__6__Vision__250815__1_6__Vision ModelID = "doubao-seed-1-6-vision-250815" Model__302AI__Doubao__Seed__1__8__251215__1_8 ModelID = "doubao-seed-1-8-251215" Model__302AI__Doubao__Seed__Code__Preview__251028__PreviewCode ModelID = "doubao-seed-code-preview-251028" Model__302AI__GLM__4_5 ModelID = "glm-4.5" Model__302AI__GLM__4_6 ModelID = "glm-4.6" Model__302AI__GLM__4_7 ModelID = "glm-4.7" Model__302AI__GLM__4__5__Air__4_5 ModelID = "glm-4.5-air" Model__302AI__GLM__4__5__Airx__4_5 ModelID = "glm-4.5-airx" Model__302AI__GLM__4__5__X__4_5 ModelID = "glm-4.5-x" Model__302AI__GLM__4__5v__4_5 ModelID = "glm-4.5v" Model__302AI__GLM__4__6v__4_6 ModelID = "glm-4.6v" Model__302AI__GLM__4__7__Flashx__4_7 ModelID = "glm-4.7-flashx" Model__302AI__GLM__5 ModelID = "glm-5" Model__302AI__GLM__5_1 ModelID = "glm-5.1" Model__302AI__GLM__5__Turbo ModelID = "glm-5-turbo" Model__302AI__GLM__5v__5__Turbo ModelID = "glm-5v-turbo" Model__302AI__GLM__For__Coding ModelID = "glm-for-coding" Model__302AI__GPT__4_1 ModelID = "gpt-4.1" Model__302AI__GPT__4__1__Mini__4_1 ModelID = "gpt-4.1-mini" Model__302AI__GPT__4__1__Nano__4_1 ModelID = "gpt-4.1-nano" Model__302AI__GPT__4o ModelID = "gpt-4o" Model__302AI__GPT__5 ModelID = "gpt-5" Model__302AI__GPT__5_1 ModelID = "gpt-5.1" Model__302AI__GPT__5_1__ChatLatest ModelID = "gpt-5.1-chat-latest" Model__302AI__GPT__5_2 ModelID = "gpt-5.2" Model__302AI__GPT__5_2__ChatLatest ModelID = "gpt-5.2-chat-latest" Model__302AI__GPT__5_4 ModelID = "gpt-5.4" Model__302AI__GPT__5__4__Mini__5_4 ModelID = "gpt-5.4-mini" Model__302AI__GPT__5__4__Mini__5_4__20260317 ModelID = "gpt-5.4-mini-2026-03-17" Model__302AI__GPT__5__4__Nano__5_4 ModelID = "gpt-5.4-nano" Model__302AI__GPT__5__4__Nano__5_4__20260317 ModelID = "gpt-5.4-nano-2026-03-17" Model__302AI__GPT__5__4__Pro__5_4 ModelID = "gpt-5.4-pro" Model__302AI__GPT__5__Mini__5 ModelID = "gpt-5-mini" Model__302AI__GPT__5__Pro__5 ModelID = "gpt-5-pro" Model__302AI__GPT__5__Thinking ModelID = "gpt-5-thinking" Model__302AI__Gemini__2__0__Flash__Lite__2_0 ModelID = "gemini-2.0-flash-lite" Model__302AI__Gemini__2__5__Flash__2_5 ModelID = "gemini-2.5-flash" Model__302AI__Gemini__2__5__Flash__Image__2_5 ModelID = "gemini-2.5-flash-image" Model__302AI__Gemini__2__5__Flash__Lite__Preview__2_5__Preview__20250926 ModelID = "gemini-2.5-flash-lite-preview-09-2025" Model__302AI__Gemini__2__5__Flash__Nothink__2_5 ModelID = "gemini-2.5-flash-nothink" Model__302AI__Gemini__2__5__Flash__Preview__2_5__Preview__20250926 ModelID = "gemini-2.5-flash-preview-09-2025" Model__302AI__Gemini__2__5__Pro__2_5 ModelID = "gemini-2.5-pro" Model__302AI__Gemini__3__1__Flash__Image__3_1__Preview ModelID = "gemini-3.1-flash-image-preview" Model__302AI__Gemini__3__Flash__3__Preview ModelID = "gemini-3-flash-preview" Model__302AI__Gemini__3__Pro__3__Preview ModelID = "gemini-3-pro-preview" Model__302AI__Gemini__3__Pro__Image__3__Preview ModelID = "gemini-3-pro-image-preview" Model__302AI__Grok__4_1 ModelID = "grok-4.1" Model__302AI__Grok__4_1__ReasoningFast ModelID = "grok-4-1-fast-reasoning" Model__302AI__Grok__4__1__Fast__Non__Reasoning__4_1__Non_Reasoning ModelID = "grok-4-1-fast-non-reasoning" Model__302AI__Grok__4__20__Beta__0309__4_20__Reasoning ModelID = "grok-4.20-beta-0309-reasoning" Model__302AI__Grok__4__20__Beta__0309__Non__Reasoning__4_20__Non_Reasoning ModelID = "grok-4.20-beta-0309-non-reasoning" Model__302AI__Grok__4__20__Multi__Agent__Beta__0309__4_20 ModelID = "grok-4.20-multi-agent-beta-0309" Model__302AI__Grok__4__Fast__Non__Reasoning__4__Non_Reasoning ModelID = "grok-4-fast-non-reasoning" Model__302AI__Grok__4__ReasoningFast ModelID = "grok-4-fast-reasoning" Model__302AI__Kimi__K2__0905__2__Preview ModelID = "kimi-k2-0905-preview" Model__302AI__Kimi__K2__2__Thinking ModelID = "kimi-k2-thinking" Model__302AI__Kimi__K2__2__ThinkingTurbo ModelID = "kimi-k2-thinking-turbo" Model__302AI__MiniMax__M1__1 ModelID = "MiniMax-M1" Model__302AI__MiniMax__M2__1__2_1 ModelID = "MiniMax-M2.1" Model__302AI__MiniMax__M2__2 ModelID = "MiniMax-M2" Model__302AI__MiniMax__M2__7__2_7 ModelID = "MiniMax-M2.7" Model__302AI__MiniMax__M2__7__2_7__Highspeed ModelID = "MiniMax-M2.7-highspeed" Model__302AI__Ministral__14b__2512 ModelID = "ministral-14b-2512" Model__302AI__Mistral__Large__2512 ModelID = "mistral-large-2512" Model__302AI__Qwen3__235b__A22b__3 ModelID = "qwen3-235b-a22b" Model__302AI__Qwen3__235b__A22b__Instruct__2507__3__Instruct ModelID = "qwen3-235b-a22b-instruct-2507" Model__302AI__Qwen3__30b__A3b__3 ModelID = "qwen3-30b-a3b" Model__302AI__Qwen3__Coder__480b__A35b__3__Instruct ModelID = "qwen3-coder-480b-a35b-instruct" Model__302AI__Qwen3__Max__3__20250923 ModelID = "qwen3-max-2025-09-23" Model__302AI__Qwen__Flash ModelID = "qwen-flash" Model__302AI__Qwen__Max__Latest ModelID = "qwen-max-latest" Model__302AI__Qwen__Plus ModelID = "qwen-plus" Model__AIHubMix__Alicloud__DeepSeek__V4__Flash ModelID = "alicloud-deepseek-v4-flash" Model__AIHubMix__Alicloud__DeepSeek__V4__Pro__Thinking ModelID = "alicloud-deepseek-v4-pro" Model__AIHubMix__Alicloud__GLM__5__1 ModelID = "alicloud-glm-5.1" Model__AIHubMix__Claude__Opus__4_6 ModelID = "claude-opus-4-6" Model__AIHubMix__Claude__Opus__4_6__Think ModelID = "claude-opus-4-6-think" Model__AIHubMix__Claude__Opus__4_7 ModelID = "claude-opus-4-7" Model__AIHubMix__Claude__Opus__4_7__Think ModelID = "claude-opus-4-7-think" Model__AIHubMix__Claude__Sonnet__4_6 ModelID = "claude-sonnet-4-6" Model__AIHubMix__Claude__Sonnet__4_6__Think ModelID = "claude-sonnet-4-6-think" Model__AIHubMix__Coding__GLM__5__1 ModelID = "coding-glm-5.1" Model__AIHubMix__Coding__GLM__5__1__Free ModelID = "coding-glm-5.1-free" Model__AIHubMix__Coding__MiniMax__M2__7__2_7 ModelID = "coding-minimax-m2.7" Model__AIHubMix__Coding__MiniMax__M2__7__2_7__Highspeed ModelID = "coding-minimax-m2.7-highspeed" Model__AIHubMix__Coding__MiniMax__M2__7__Free ModelID = "coding-minimax-m2.7-free" Model__AIHubMix__Coding__Xiaomi__Mimo__V2__5__2_5 ModelID = "coding-xiaomi-mimo-v2.5" Model__AIHubMix__Coding__Xiaomi__Mimo__V2__5__2_5__Pro ModelID = "coding-xiaomi-mimo-v2.5-pro" Model__AIHubMix__Deep__DeepSeek__V4__Flash ModelID = "deep-deepseek-v4-flash" Model__AIHubMix__Deep__DeepSeek__V4__Pro__Thinking ModelID = "deep-deepseek-v4-pro" Model__AIHubMix__Doubao__Seed__2__0__Lite__260428 ModelID = "doubao-seed-2-0-lite-260428" Model__AIHubMix__Doubao__Seed__2__0__Mini__260428 ModelID = "doubao-seed-2-0-mini-260428" Model__AIHubMix__Doubao__Seed__2__0__PreviewCode ModelID = "doubao-seed-2-0-code-preview" Model__AIHubMix__Doubao__Seed__2__0__Pro ModelID = "doubao-seed-2-0-pro" Model__AIHubMix__GLM__5v__5__Turbo ModelID = "glm-5v-turbo" Model__AIHubMix__GPT__5_1 ModelID = "gpt-5.1" Model__AIHubMix__GPT__5_2 ModelID = "gpt-5.2" Model__AIHubMix__GPT__5_4 ModelID = "gpt-5.4" Model__AIHubMix__GPT__5_5 ModelID = "gpt-5.5" Model__AIHubMix__GPT__5__1__Codex__5_1 ModelID = "gpt-5.1-codex" Model__AIHubMix__GPT__5__1__Codex__Mini__5_1 ModelID = "gpt-5.1-codex-mini" Model__AIHubMix__GPT__5__2__Codex__5_2 ModelID = "gpt-5.2-codex" Model__AIHubMix__GPT__5__3__Codex__5_3 ModelID = "gpt-5.3-codex" Model__AIHubMix__GPT__5__4__Mini__5_4 ModelID = "gpt-5.4-mini" Model__AIHubMix__Gemini__2__5__Flash__2_5 ModelID = "gemini-2.5-flash" Model__AIHubMix__Gemini__2__5__Pro__2_5 ModelID = "gemini-2.5-pro" Model__AIHubMix__Gemini__3__1__Flash__Lite__3_1 ModelID = "gemini-3.1-flash-lite" Model__AIHubMix__Gemini__3__1__Pro__3_1__Preview ModelID = "gemini-3.1-pro-preview" Model__AIHubMix__Gemini__3__1__Pro__Preview__Customtools__3_1 ModelID = "gemini-3.1-pro-preview-customtools" Model__AIHubMix__Gemini__3__Flash__3__Preview ModelID = "gemini-3-flash-preview" Model__AIHubMix__Grok__4_3 ModelID = "grok-4.3" Model__AIHubMix__Kimi__K2__5__2_5 ModelID = "kimi-k2.5" Model__AIHubMix__Kimi__K2__6__2_6 ModelID = "kimi-k2.6" Model__AIHubMix__MiniMax__M2__7__2_7 ModelID = "minimax-m2.7" Model__AIHubMix__Qwen3__6__Flash__3_6 ModelID = "qwen3.6-flash" Model__AIHubMix__Qwen3__6__Max__3_6__Preview ModelID = "qwen3.6-max-preview" Model__AIHubMix__Qwen3__6__Plus__3_6 ModelID = "qwen3.6-plus" Model__AIHubMix__Xiaomi__Mimo__V2__5__2_5 ModelID = "xiaomi-mimo-v2.5" Model__AIHubMix__Xiaomi__Mimo__V2__5__2_5__Pro ModelID = "xiaomi-mimo-v2.5-pro" Model__AIHubMix__Xiaomi__Mimo__V2__5__Free ModelID = "xiaomi-mimo-v2.5-free" Model__AIHubMix__Xiaomi__Mimo__V2__5__Pro__Free ModelID = "xiaomi-mimo-v2.5-pro-free" Model__AIHubMix__Zai__GLM__5__1 ModelID = "zai-glm-5.1" Model__Abacus__Claude__3__7__Sonnet__3_7__20250219 ModelID = "claude-3-7-sonnet-20250219" Model__Abacus__Claude__Haiku__4_5__20251001 ModelID = "claude-haiku-4-5-20251001" Model__Abacus__Claude__Opus__4_1__20250805 ModelID = "claude-opus-4-1-20250805" Model__Abacus__Claude__Opus__4_5__20251101 ModelID = "claude-opus-4-5-20251101" Model__Abacus__Claude__Opus__4_6 ModelID = "claude-opus-4-6" Model__Abacus__Claude__Opus__4__20250514 ModelID = "claude-opus-4-20250514" Model__Abacus__Claude__Sonnet__4_5__20250929 ModelID = "claude-sonnet-4-5-20250929" Model__Abacus__Claude__Sonnet__4_6 ModelID = "claude-sonnet-4-6" Model__Abacus__Claude__Sonnet__4__20250514 ModelID = "claude-sonnet-4-20250514" Model__Abacus__DeepSeek__R1__Thinking ModelID = "deepseek-ai/DeepSeek-R1" Model__Abacus__DeepSeek__V3__1 ModelID = "deepseek/deepseek-v3.1" Model__Abacus__DeepSeek__V3__1__Terminus ModelID = "deepseek-ai/DeepSeek-V3.1-Terminus" Model__Abacus__DeepSeek__V3__2 ModelID = "deepseek-ai/DeepSeek-V3.2" Model__Abacus__GLM__4_5 ModelID = "zai-org/glm-4.5" Model__Abacus__GLM__4_6 ModelID = "zai-org/glm-4.6" Model__Abacus__GLM__4_7 ModelID = "zai-org/glm-4.7" Model__Abacus__GLM__5 ModelID = "zai-org/glm-5" Model__Abacus__GPT__4_1 ModelID = "gpt-4.1" Model__Abacus__GPT__4__1__Mini__4_1 ModelID = "gpt-4.1-mini" Model__Abacus__GPT__4__1__Nano__4_1 ModelID = "gpt-4.1-nano" Model__Abacus__GPT__4o__20241120 ModelID = "gpt-4o-2024-11-20" Model__Abacus__GPT__4o__Mini ModelID = "gpt-4o-mini" Model__Abacus__GPT__5 ModelID = "gpt-5" Model__Abacus__GPT__5_1 ModelID = "gpt-5.1" Model__Abacus__GPT__5_1__ChatLatest ModelID = "gpt-5.1-chat-latest" Model__Abacus__GPT__5_2 ModelID = "gpt-5.2" Model__Abacus__GPT__5_2__ChatLatest ModelID = "gpt-5.2-chat-latest" Model__Abacus__GPT__5_3__ChatLatest ModelID = "gpt-5.3-chat-latest" Model__Abacus__GPT__5_4 ModelID = "gpt-5.4" Model__Abacus__GPT__5__1__Codex__5_1 ModelID = "gpt-5.1-codex" Model__Abacus__GPT__5__1__Codex__Max__5_1 ModelID = "gpt-5.1-codex-max" Model__Abacus__GPT__5__2__Codex__5_2 ModelID = "gpt-5.2-codex" Model__Abacus__GPT__5__3__Codex__5_3 ModelID = "gpt-5.3-codex" Model__Abacus__GPT__5__3__Codex__Xhigh__5_3 ModelID = "gpt-5.3-codex-xhigh" Model__Abacus__GPT__5__Codex__5 ModelID = "gpt-5-codex" Model__Abacus__GPT__5__Mini__5 ModelID = "gpt-5-mini" Model__Abacus__GPT__5__Nano__5 ModelID = "gpt-5-nano" Model__Abacus__GPT__Oss__120b ModelID = "openai/gpt-oss-120b" Model__Abacus__Gemini__2__5__Flash__2_5 ModelID = "gemini-2.5-flash" Model__Abacus__Gemini__2__5__Pro__2_5 ModelID = "gemini-2.5-pro" Model__Abacus__Gemini__3__1__Flash__Lite__3_1__Preview ModelID = "gemini-3.1-flash-lite-preview" Model__Abacus__Gemini__3__1__Pro__3_1__Preview ModelID = "gemini-3.1-pro-preview" Model__Abacus__Gemini__3__Flash__3__Preview ModelID = "gemini-3-flash-preview" Model__Abacus__Grok__4__0709__4 ModelID = "grok-4-0709" Model__Abacus__Grok__4__1__Fast__Non__Reasoning__4_1__Non_Reasoning ModelID = "grok-4-1-fast-non-reasoning" Model__Abacus__Grok__4__Fast__Non__Reasoning__4__Non_Reasoning ModelID = "grok-4-fast-non-reasoning" Model__Abacus__Grok__Code__Fast__1 ModelID = "grok-code-fast-1" Model__Abacus__Kimi__K2__2__TurboPreview ModelID = "kimi-k2-turbo-preview" Model__Abacus__Kimi__K2__5__2_5 ModelID = "kimi-k2.5" Model__Abacus__Llama__3__3__70b__Versatile__3_3 ModelID = "llama-3.3-70b-versatile" Model__Abacus__Llama__4__Maverick__17B__128E__Instruct__Fp8__4__Instruct ModelID = "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8" Model__Abacus__Meta__Llama__3__1__405B__3_1__TurboInstruct ModelID = "meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo" Model__Abacus__Meta__Llama__3__1__8B__3_1__Instruct ModelID = "meta-llama/Meta-Llama-3.1-8B-Instruct" Model__Abacus__O3__3 ModelID = "o3" Model__Abacus__O3__3__Mini ModelID = "o3-mini" Model__Abacus__O3__3__Pro ModelID = "o3-pro" Model__Abacus__O4__4__Mini ModelID = "o4-mini" Model__Abacus__Qwen2__5__72B__2_5__Instruct ModelID = "Qwen/Qwen2.5-72B-Instruct" Model__Abacus__Qwen3__235B__A22b__Instruct__2507__3__Instruct ModelID = "Qwen/Qwen3-235B-A22B-Instruct-2507" Model__Abacus__Qwen3__32B__3 ModelID = "Qwen/Qwen3-32B" Model__Abacus__Qwen3__Coder__480b__A35b__3__Instruct ModelID = "Qwen/qwen3-coder-480b-a35b-instruct" Model__Abacus__Qwen3__Max__3 ModelID = "qwen3-max" Model__Abacus__Qwen__2__5__Coder__32b__2_5 ModelID = "qwen-2.5-coder-32b" Model__Abacus__Qwq__32B ModelID = "Qwen/QwQ-32B" Model__Abacus__Route__LLM ModelID = "route-llm" Model__AbliterationAI__Abliterated__Model ModelID = "abliterated-model" Model__AlibabaCN__DeepSeek__R1__0528__Thinking_1 ModelID = "deepseek-r1-0528" Model__AlibabaCN__DeepSeek__R1__0528__Thinking_2 ModelID = "siliconflow/deepseek-r1-0528" Model__AlibabaCN__DeepSeek__R1__Distill__Llama__70b__Thinking ModelID = "deepseek-r1-distill-llama-70b" Model__AlibabaCN__DeepSeek__R1__Distill__Llama__8b__Thinking ModelID = "deepseek-r1-distill-llama-8b" Model__AlibabaCN__DeepSeek__R1__Distill__Qwen__14b ModelID = "deepseek-r1-distill-qwen-14b" Model__AlibabaCN__DeepSeek__R1__Distill__Qwen__1__5b ModelID = "deepseek-r1-distill-qwen-1-5b" Model__AlibabaCN__DeepSeek__R1__Distill__Qwen__32b ModelID = "deepseek-r1-distill-qwen-32b" Model__AlibabaCN__DeepSeek__R1__Distill__Qwen__7b ModelID = "deepseek-r1-distill-qwen-7b" Model__AlibabaCN__DeepSeek__R1__Thinking ModelID = "deepseek-r1" 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Model__Alibaba__Qwq__Plus ModelID = "qwq-plus" Model__AmazonBedrock__Amazon__Nova__2__Lite__V1__0 ModelID = "amazon.nova-2-lite-v1:0" Model__AmazonBedrock__Amazon__Nova__Lite__V1__0 ModelID = "amazon.nova-lite-v1:0" Model__AmazonBedrock__Amazon__Nova__Micro__V1__0 ModelID = "amazon.nova-micro-v1:0" Model__AmazonBedrock__Amazon__Nova__Pro__V1__0 ModelID = "amazon.nova-pro-v1:0" Model__AmazonBedrock__Anthropic__Claude__Haiku__4__5__20251001__V1__0 ModelID = "anthropic.claude-haiku-4-5-20251001-v1:0" Model__AmazonBedrock__Anthropic__Claude__Opus__4__1__20250805__V1__0 ModelID = "anthropic.claude-opus-4-1-20250805-v1:0" Model__AmazonBedrock__Anthropic__Claude__Opus__4__5__20251101__V1__0 ModelID = "anthropic.claude-opus-4-5-20251101-v1:0" Model__AmazonBedrock__Anthropic__Claude__Opus__4__6__V1 ModelID = "anthropic.claude-opus-4-6-v1" Model__AmazonBedrock__Anthropic__Claude__Opus__4__7 ModelID = "anthropic.claude-opus-4-7" Model__AmazonBedrock__Anthropic__Claude__Opus__4__8 ModelID = 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ModelID = "deepseek.v3-v1:0" Model__AmazonBedrock__Eu__Anthropic__Claude__Haiku__4__5__20251001__V1__0 ModelID = "eu.anthropic.claude-haiku-4-5-20251001-v1:0" Model__AmazonBedrock__Eu__Anthropic__Claude__Opus__4__5__20251101__V1__0 ModelID = "eu.anthropic.claude-opus-4-5-20251101-v1:0" Model__AmazonBedrock__Eu__Anthropic__Claude__Opus__4__6__V1 ModelID = "eu.anthropic.claude-opus-4-6-v1" Model__AmazonBedrock__Eu__Anthropic__Claude__Opus__4__7 ModelID = "eu.anthropic.claude-opus-4-7" Model__AmazonBedrock__Eu__Anthropic__Claude__Opus__4__8 ModelID = "eu.anthropic.claude-opus-4-8" Model__AmazonBedrock__Eu__Anthropic__Claude__Sonnet__4__5__20250929__V1__0 ModelID = "eu.anthropic.claude-sonnet-4-5-20250929-v1:0" Model__AmazonBedrock__Eu__Anthropic__Claude__Sonnet__4__6 ModelID = "eu.anthropic.claude-sonnet-4-6" Model__AmazonBedrock__Global__Anthropic__Claude__Haiku__4__5__20251001__V1__0 ModelID = "global.anthropic.claude-haiku-4-5-20251001-v1:0" Model__AmazonBedrock__Global__Anthropic__Claude__Opus__4__5__20251101__V1__0 ModelID = "global.anthropic.claude-opus-4-5-20251101-v1:0" Model__AmazonBedrock__Global__Anthropic__Claude__Opus__4__6__V1 ModelID = "global.anthropic.claude-opus-4-6-v1" Model__AmazonBedrock__Global__Anthropic__Claude__Opus__4__7 ModelID = "global.anthropic.claude-opus-4-7" Model__AmazonBedrock__Global__Anthropic__Claude__Opus__4__8 ModelID = "global.anthropic.claude-opus-4-8" Model__AmazonBedrock__Global__Anthropic__Claude__Sonnet__4__5__20250929__V1__0 ModelID = "global.anthropic.claude-sonnet-4-5-20250929-v1:0" Model__AmazonBedrock__Global__Anthropic__Claude__Sonnet__4__6 ModelID = "global.anthropic.claude-sonnet-4-6" Model__AmazonBedrock__Google__Gemma__3__12b__It ModelID = "google.gemma-3-12b-it" Model__AmazonBedrock__Google__Gemma__3__27b__It ModelID = "google.gemma-3-27b-it" Model__AmazonBedrock__Google__Gemma__3__4b__It ModelID = "google.gemma-3-4b-it" Model__AmazonBedrock__Jp__Anthropic__Claude__Opus__4__7 ModelID = "jp.anthropic.claude-opus-4-7" Model__AmazonBedrock__Jp__Anthropic__Claude__Opus__4__8 ModelID = "jp.anthropic.claude-opus-4-8" Model__AmazonBedrock__Jp__Anthropic__Claude__Sonnet__4__5__20250929__V1__0 ModelID = "jp.anthropic.claude-sonnet-4-5-20250929-v1:0" Model__AmazonBedrock__Jp__Anthropic__Claude__Sonnet__4__6 ModelID = "jp.anthropic.claude-sonnet-4-6" Model__AmazonBedrock__Meta__Llama3__1__70b__Instruct__V1__0__Instruct ModelID = "meta.llama3-1-70b-instruct-v1:0" Model__AmazonBedrock__Meta__Llama3__1__8b__Instruct__V1__0__Instruct ModelID = "meta.llama3-1-8b-instruct-v1:0" Model__AmazonBedrock__Meta__Llama3__3__70b__Instruct__V1__0__Instruct ModelID = "meta.llama3-3-70b-instruct-v1:0" Model__AmazonBedrock__Meta__Llama4__Maverick__17b__Instruct__V1__0__Instruct ModelID = "meta.llama4-maverick-17b-instruct-v1:0" Model__AmazonBedrock__Meta__Llama4__Scout__17b__Instruct__V1__0__Instruct ModelID = 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"openai.gpt-oss-safeguard-120b" Model__AmazonBedrock__OpenAI__GPT__Oss__Safeguard__20b ModelID = "openai.gpt-oss-safeguard-20b" Model__AmazonBedrock__Qwen__Qwen3__235b__A22b__2507__V1__0 ModelID = "qwen.qwen3-235b-a22b-2507-v1:0" Model__AmazonBedrock__Qwen__Qwen3__32b__V1__0 ModelID = "qwen.qwen3-32b-v1:0" Model__AmazonBedrock__Qwen__Qwen3__Coder__30b__A3b__V1__0 ModelID = "qwen.qwen3-coder-30b-a3b-v1:0" Model__AmazonBedrock__Qwen__Qwen3__Coder__480b__A35b__V1__0 ModelID = "qwen.qwen3-coder-480b-a35b-v1:0" Model__AmazonBedrock__Qwen__Qwen3__Coder__Next ModelID = "qwen.qwen3-coder-next" Model__AmazonBedrock__Qwen__Qwen3__Next__80b__A3b ModelID = "qwen.qwen3-next-80b-a3b" Model__AmazonBedrock__Qwen__Qwen3__Vl__235b__A22b ModelID = "qwen.qwen3-vl-235b-a22b" Model__AmazonBedrock__Us__Anthropic__Claude__Haiku__4__5__20251001__V1__0 ModelID = "us.anthropic.claude-haiku-4-5-20251001-v1:0" Model__AmazonBedrock__Us__Anthropic__Claude__Opus__4__1__20250805__V1__0 ModelID = "us.anthropic.claude-opus-4-1-20250805-v1:0" Model__AmazonBedrock__Us__Anthropic__Claude__Opus__4__5__20251101__V1__0 ModelID = "us.anthropic.claude-opus-4-5-20251101-v1:0" Model__AmazonBedrock__Us__Anthropic__Claude__Opus__4__6__V1 ModelID = "us.anthropic.claude-opus-4-6-v1" Model__AmazonBedrock__Us__Anthropic__Claude__Opus__4__7 ModelID = "us.anthropic.claude-opus-4-7" Model__AmazonBedrock__Us__Anthropic__Claude__Opus__4__8 ModelID = "us.anthropic.claude-opus-4-8" Model__AmazonBedrock__Us__Anthropic__Claude__Sonnet__4__5__20250929__V1__0 ModelID = "us.anthropic.claude-sonnet-4-5-20250929-v1:0" Model__AmazonBedrock__Us__Anthropic__Claude__Sonnet__4__6 ModelID = "us.anthropic.claude-sonnet-4-6" Model__AmazonBedrock__Us__DeepSeek__R1__V1__0__Thinking ModelID = "us.deepseek.r1-v1:0" Model__AmazonBedrock__Us__Meta__Llama4__Maverick__17b__Instruct__V1__0__Instruct ModelID = "us.meta.llama4-maverick-17b-instruct-v1:0" Model__AmazonBedrock__Us__Meta__Llama4__Scout__17b__Instruct__V1__0__Instruct ModelID = "us.meta.llama4-scout-17b-instruct-v1:0" Model__AmazonBedrock__Writer__Palmyra__X4__V1__0 ModelID = "writer.palmyra-x4-v1:0" Model__AmazonBedrock__Writer__Palmyra__X5__V1__0 ModelID = "writer.palmyra-x5-v1:0" Model__AmazonBedrock__Zai__GLM__4__7 ModelID = "zai.glm-4.7" Model__AmazonBedrock__Zai__GLM__4__7__Flash ModelID = "zai.glm-4.7-flash" Model__AmazonBedrock__Zai__GLM__5 ModelID = "zai.glm-5" Model__Ambient__GLM__5__1__Fp8__5_1 ModelID = "zai-org/GLM-5.1-FP8" Model__Ambient__Kimi__K2__6__2_6 ModelID = "moonshotai/kimi-k2.6" Model__Anthropic__Claude__3__5__Haiku__3_5__20241022 ModelID = "claude-3-5-haiku-20241022" Model__Anthropic__Claude__3__5__Haiku__3_5__Latest ModelID = "claude-3-5-haiku-latest" Model__Anthropic__Claude__3__5__Sonnet__3_5__20240620 ModelID = "claude-3-5-sonnet-20240620" Model__Anthropic__Claude__3__5__Sonnet__3_5__20241022 ModelID = "claude-3-5-sonnet-20241022" Model__Anthropic__Claude__3__7__Sonnet__3_7__20250219 ModelID = "claude-3-7-sonnet-20250219" Model__Anthropic__Claude__3__Haiku__3__20240307 ModelID = "claude-3-haiku-20240307" Model__Anthropic__Claude__3__Opus__3__20240229 ModelID = "claude-3-opus-20240229" Model__Anthropic__Claude__3__Sonnet__3__20240229 ModelID = "claude-3-sonnet-20240229" Model__Anthropic__Claude__Haiku__4_5 ModelID = "claude-haiku-4-5" Model__Anthropic__Claude__Haiku__4_5__20251001 ModelID = "claude-haiku-4-5-20251001" Model__Anthropic__Claude__Opus__4_0 ModelID = "claude-opus-4-0" Model__Anthropic__Claude__Opus__4_1 ModelID = "claude-opus-4-1" Model__Anthropic__Claude__Opus__4_1__20250805 ModelID = "claude-opus-4-1-20250805" Model__Anthropic__Claude__Opus__4_5 ModelID = "claude-opus-4-5" Model__Anthropic__Claude__Opus__4_5__20251101 ModelID = "claude-opus-4-5-20251101" Model__Anthropic__Claude__Opus__4_6 ModelID = "claude-opus-4-6" Model__Anthropic__Claude__Opus__4_7 ModelID = "claude-opus-4-7" Model__Anthropic__Claude__Opus__4_8 ModelID = "claude-opus-4-8" Model__Anthropic__Claude__Opus__4__20250514 ModelID = "claude-opus-4-20250514" Model__Anthropic__Claude__Sonnet__4_0 ModelID = "claude-sonnet-4-0" Model__Anthropic__Claude__Sonnet__4_5 ModelID = "claude-sonnet-4-5" Model__Anthropic__Claude__Sonnet__4_5__20250929 ModelID = "claude-sonnet-4-5-20250929" Model__Anthropic__Claude__Sonnet__4_6 ModelID = "claude-sonnet-4-6" Model__Anthropic__Claude__Sonnet__4__20250514 ModelID = "claude-sonnet-4-20250514" Model__AtomicChat__Gemma__4__E4b__It__Iq4__Xs__4 ModelID = "gemma-4-E4B-it-IQ4_XS" Model__AtomicChat__Gemma__4__E4b__It__Mlx__4bit__4 ModelID = "gemma-4-E4B-it-MLX-4bit" Model__AtomicChat__Meta__Llama__3__1__8B__Instruct__Gguf__Instruct ModelID = "Meta-Llama-3_1-8B-Instruct-GGUF" Model__AtomicChat__Qwen3__5__9B__Mlx__4bit ModelID = "Qwen3_5-9B-MLX-4bit" Model__AtomicChat__Qwen3__5__9B__Q4__K__M ModelID = "Qwen3_5-9B-Q4_K_M" Model__Auriko__Claude__Opus__4_6 ModelID = "claude-opus-4-6" Model__Auriko__Claude__Opus__4_7 ModelID = "claude-opus-4-7" Model__Auriko__Claude__Sonnet__4_6 ModelID = "claude-sonnet-4-6" Model__Auriko__DeepSeek__V4__Flash ModelID = "deepseek-v4-flash" Model__Auriko__DeepSeek__V4__Pro__Thinking ModelID = "deepseek-v4-pro" Model__Auriko__GLM__5_1 ModelID = "glm-5.1" Model__Auriko__Gemini__2__5__Flash__2_5 ModelID = "gemini-2.5-flash" Model__Auriko__Gemini__2__5__Pro__2_5 ModelID = "gemini-2.5-pro" Model__Auriko__Gemini__3__1__Pro__3_1__Preview ModelID = "gemini-3.1-pro-preview" Model__Auriko__Grok__4_3 ModelID = "grok-4.3" Model__Auriko__Kimi__K2__5__2_5 ModelID = "kimi-k2.5" Model__Auriko__Kimi__K2__6__2_6 ModelID = "kimi-k2.6" Model__Auriko__MiniMax__M2__7__2_7 ModelID = "minimax-m2-7" Model__Auriko__MiniMax__M2__7__2_7__Highspeed ModelID = "minimax-m2-7-highspeed" Model__Auriko__Qwen__3__6__Plus__3_6 ModelID = "qwen-3.6-plus" Model__AzureCognitiveServices__Claude__Haiku__4_5 ModelID = "claude-haiku-4-5" Model__AzureCognitiveServices__Claude__Opus__4_1 ModelID = "claude-opus-4-1" Model__AzureCognitiveServices__Claude__Opus__4_5 ModelID = "claude-opus-4-5" Model__AzureCognitiveServices__Claude__Opus__4_6 ModelID = "claude-opus-4-6" Model__AzureCognitiveServices__Claude__Sonnet__4_5 ModelID = "claude-sonnet-4-5" Model__AzureCognitiveServices__Codestral__2501 ModelID = "codestral-2501" Model__AzureCognitiveServices__Codex__Mini ModelID = "codex-mini" Model__AzureCognitiveServices__Cohere__Command__A ModelID = "cohere-command-a" Model__AzureCognitiveServices__Cohere__Command__R__20240830 ModelID = "cohere-command-r-08-2024" Model__AzureCognitiveServices__Cohere__Command__R__Plus__20240830 ModelID = "cohere-command-r-plus-08-2024" Model__AzureCognitiveServices__Cohere__Embed__V3__English ModelID = "cohere-embed-v3-english" Model__AzureCognitiveServices__Cohere__Embed__V3__Multilingual ModelID = "cohere-embed-v3-multilingual" Model__AzureCognitiveServices__Cohere__Embed__V__4__0 ModelID = "cohere-embed-v-4-0" Model__AzureCognitiveServices__DeepSeek__R1__0528__Thinking ModelID = "deepseek-r1-0528" Model__AzureCognitiveServices__DeepSeek__R1__Thinking ModelID = "deepseek-r1" Model__AzureCognitiveServices__DeepSeek__V3__0324 ModelID = "deepseek-v3-0324" Model__AzureCognitiveServices__DeepSeek__V3__1 ModelID = "deepseek-v3.1" Model__AzureCognitiveServices__DeepSeek__V3__2 ModelID = "deepseek-v3.2" Model__AzureCognitiveServices__DeepSeek__V3__2__Speciale ModelID = "deepseek-v3.2-speciale" Model__AzureCognitiveServices__GPT__3_5__TurboInstruct ModelID = "gpt-3.5-turbo-instruct" Model__AzureCognitiveServices__GPT__3__5__Turbo__0125__3_5__Turbo ModelID = "gpt-3.5-turbo-0125" Model__AzureCognitiveServices__GPT__3__5__Turbo__0301__3_5__Turbo ModelID = "gpt-3.5-turbo-0301" Model__AzureCognitiveServices__GPT__3__5__Turbo__0613__3_5__Turbo ModelID = "gpt-3.5-turbo-0613" Model__AzureCognitiveServices__GPT__3__5__Turbo__1106__3_5__Turbo ModelID = "gpt-3.5-turbo-1106" Model__AzureCognitiveServices__GPT__4 ModelID = "gpt-4" Model__AzureCognitiveServices__GPT__4_1 ModelID = "gpt-4.1" Model__AzureCognitiveServices__GPT__4__1__Mini__4_1 ModelID = "gpt-4.1-mini" Model__AzureCognitiveServices__GPT__4__1__Nano__4_1 ModelID = "gpt-4.1-nano" Model__AzureCognitiveServices__GPT__4__32k__4 ModelID = "gpt-4-32k" Model__AzureCognitiveServices__GPT__4__Turbo ModelID = "gpt-4-turbo" Model__AzureCognitiveServices__GPT__4__VisionTurbo ModelID = "gpt-4-turbo-vision" Model__AzureCognitiveServices__GPT__4o ModelID = "gpt-4o" Model__AzureCognitiveServices__GPT__4o__Mini ModelID = "gpt-4o-mini" Model__AzureCognitiveServices__GPT__5 ModelID = "gpt-5" Model__AzureCognitiveServices__GPT__5_1 ModelID = "gpt-5.1" Model__AzureCognitiveServices__GPT__5_1__Chat ModelID = "gpt-5.1-chat" Model__AzureCognitiveServices__GPT__5_2 ModelID = "gpt-5.2" Model__AzureCognitiveServices__GPT__5_2__Chat ModelID = "gpt-5.2-chat" Model__AzureCognitiveServices__GPT__5_4 ModelID = "gpt-5.4" Model__AzureCognitiveServices__GPT__5_5 ModelID = "gpt-5.5" Model__AzureCognitiveServices__GPT__5__1__Codex__5_1 ModelID = "gpt-5.1-codex" Model__AzureCognitiveServices__GPT__5__1__Codex__Mini__5_1 ModelID = "gpt-5.1-codex-mini" Model__AzureCognitiveServices__GPT__5__2__Codex__5_2 ModelID = "gpt-5.2-codex" Model__AzureCognitiveServices__GPT__5__3__Codex__5_3 ModelID = "gpt-5.3-codex" Model__AzureCognitiveServices__GPT__5__4__Mini__5_4 ModelID = "gpt-5.4-mini" Model__AzureCognitiveServices__GPT__5__4__Nano__5_4 ModelID = "gpt-5.4-nano" Model__AzureCognitiveServices__GPT__5__4__Pro__5_4 ModelID = "gpt-5.4-pro" Model__AzureCognitiveServices__GPT__5__Chat ModelID = "gpt-5-chat" Model__AzureCognitiveServices__GPT__5__Codex__5 ModelID = "gpt-5-codex" Model__AzureCognitiveServices__GPT__5__Mini__5 ModelID = "gpt-5-mini" Model__AzureCognitiveServices__GPT__5__Nano__5 ModelID = "gpt-5-nano" Model__AzureCognitiveServices__GPT__5__Pro__5 ModelID = "gpt-5-pro" Model__AzureCognitiveServices__Grok__4__ReasoningFast ModelID = "grok-4-fast-reasoning" Model__AzureCognitiveServices__Kimi__K2__2__Thinking ModelID = "kimi-k2-thinking" Model__AzureCognitiveServices__Kimi__K2__5__2_5 ModelID = "kimi-k2.5" Model__AzureCognitiveServices__Kimi__K2__6__2_6 ModelID = "kimi-k2.6" Model__AzureCognitiveServices__Llama__3__2__11b__3_2__VisionInstruct ModelID = "llama-3.2-11b-vision-instruct" Model__AzureCognitiveServices__Llama__3__2__90b__3_2__VisionInstruct ModelID = "llama-3.2-90b-vision-instruct" Model__AzureCognitiveServices__Llama__3__3__70b__3_3__Instruct ModelID = "llama-3.3-70b-instruct" Model__AzureCognitiveServices__Llama__4__Maverick__17b__128e__Instruct__Fp8__4__Instruct ModelID = "llama-4-maverick-17b-128e-instruct-fp8" Model__AzureCognitiveServices__Llama__4__Scout__17b__16e__4__Instruct ModelID = "llama-4-scout-17b-16e-instruct" Model__AzureCognitiveServices__Mai__Ds__R1 ModelID = "mai-ds-r1" Model__AzureCognitiveServices__Meta__Llama__3__1__405b__3_1__Instruct ModelID = "meta-llama-3.1-405b-instruct" Model__AzureCognitiveServices__Meta__Llama__3__1__70b__3_1__Instruct ModelID = "meta-llama-3.1-70b-instruct" Model__AzureCognitiveServices__Meta__Llama__3__1__8b__3_1__Instruct ModelID = "meta-llama-3.1-8b-instruct" Model__AzureCognitiveServices__Meta__Llama__3__70b__3__Instruct ModelID = "meta-llama-3-70b-instruct" Model__AzureCognitiveServices__Meta__Llama__3__8b__3__Instruct ModelID = "meta-llama-3-8b-instruct" Model__AzureCognitiveServices__Ministral__3b ModelID = "ministral-3b" Model__AzureCognitiveServices__Mistral__Large__2411 ModelID = "mistral-large-2411" Model__AzureCognitiveServices__Mistral__Medium__2505 ModelID = "mistral-medium-2505" Model__AzureCognitiveServices__Mistral__Nemo ModelID = "mistral-nemo" Model__AzureCognitiveServices__Mistral__Small__2503 ModelID = "mistral-small-2503" Model__AzureCognitiveServices__Model__Router ModelID = "model-router" Model__AzureCognitiveServices__O1__1 ModelID = "o1" Model__AzureCognitiveServices__O1__1__Mini ModelID = "o1-mini" Model__AzureCognitiveServices__O1__1__Preview ModelID = "o1-preview" Model__AzureCognitiveServices__O3__3 ModelID = "o3" Model__AzureCognitiveServices__O3__3__Mini ModelID = "o3-mini" Model__AzureCognitiveServices__O4__4__Mini ModelID = "o4-mini" Model__AzureCognitiveServices__Phi__3__5__Mini__3_5__Instruct ModelID = "phi-3.5-mini-instruct" Model__AzureCognitiveServices__Phi__3__5__Moe__3_5__Instruct ModelID = "phi-3.5-moe-instruct" Model__AzureCognitiveServices__Phi__3__Medium__128k__3__Instruct ModelID = "phi-3-medium-128k-instruct" Model__AzureCognitiveServices__Phi__3__Medium__4k__3__Instruct ModelID = "phi-3-medium-4k-instruct" Model__AzureCognitiveServices__Phi__3__Mini__128k__3__Instruct ModelID = "phi-3-mini-128k-instruct" Model__AzureCognitiveServices__Phi__3__Mini__4k__3__Instruct ModelID = "phi-3-mini-4k-instruct" Model__AzureCognitiveServices__Phi__3__Small__128k__3__Instruct ModelID = "phi-3-small-128k-instruct" Model__AzureCognitiveServices__Phi__3__Small__8k__3__Instruct ModelID = "phi-3-small-8k-instruct" Model__AzureCognitiveServices__Phi__4 ModelID = "phi-4" Model__AzureCognitiveServices__Phi__4__Mini__4 ModelID = "phi-4-mini" Model__AzureCognitiveServices__Phi__4__Mini__4__Reasoning ModelID = "phi-4-mini-reasoning" Model__AzureCognitiveServices__Phi__4__Multimodal ModelID = "phi-4-multimodal" Model__AzureCognitiveServices__Phi__4__Reasoning ModelID = "phi-4-reasoning" Model__AzureCognitiveServices__Phi__4__Reasoning__Plus__4 ModelID = "phi-4-reasoning-plus" Model__AzureCognitiveServices__Text__Embedding__3__Large__3 ModelID = "text-embedding-3-large" Model__AzureCognitiveServices__Text__Embedding__3__Small__3 ModelID = "text-embedding-3-small" Model__AzureCognitiveServices__Text__Embedding__Ada__002 ModelID = "text-embedding-ada-002" Model__Azure__Claude__Haiku__4_5 ModelID = "claude-haiku-4-5" Model__Azure__Claude__Opus__4_1 ModelID = "claude-opus-4-1" Model__Azure__Claude__Opus__4_5 ModelID = "claude-opus-4-5" Model__Azure__Claude__Opus__4_6 ModelID = "claude-opus-4-6" Model__Azure__Claude__Sonnet__4_5 ModelID = "claude-sonnet-4-5" Model__Azure__Claude__Sonnet__4_6 ModelID = "claude-sonnet-4-6" Model__Azure__Codestral__2501 ModelID = "codestral-2501" Model__Azure__Codex__Mini ModelID = "codex-mini" Model__Azure__Cohere__Command__A ModelID = "cohere-command-a" Model__Azure__Cohere__Command__R__20240830 ModelID = "cohere-command-r-08-2024" Model__Azure__Cohere__Command__R__Plus__20240830 ModelID = "cohere-command-r-plus-08-2024" Model__Azure__Cohere__Embed__V3__English ModelID = "cohere-embed-v3-english" Model__Azure__Cohere__Embed__V3__Multilingual ModelID = "cohere-embed-v3-multilingual" Model__Azure__Cohere__Embed__V__4__0 ModelID = "cohere-embed-v-4-0" Model__Azure__DeepSeek__R1__0528__Thinking ModelID = "deepseek-r1-0528" Model__Azure__DeepSeek__R1__Thinking ModelID = "deepseek-r1" Model__Azure__DeepSeek__V3__0324 ModelID = "deepseek-v3-0324" Model__Azure__DeepSeek__V3__1 ModelID = "deepseek-v3.1" Model__Azure__DeepSeek__V3__2 ModelID = "deepseek-v3.2" Model__Azure__DeepSeek__V3__2__Speciale ModelID = "deepseek-v3.2-speciale" Model__Azure__GPT__3_5__TurboInstruct ModelID = "gpt-3.5-turbo-instruct" Model__Azure__GPT__3__5__Turbo__0125__3_5__Turbo ModelID = "gpt-3.5-turbo-0125" Model__Azure__GPT__3__5__Turbo__0301__3_5__Turbo ModelID = "gpt-3.5-turbo-0301" Model__Azure__GPT__3__5__Turbo__0613__3_5__Turbo ModelID = "gpt-3.5-turbo-0613" Model__Azure__GPT__3__5__Turbo__1106__3_5__Turbo ModelID = "gpt-3.5-turbo-1106" Model__Azure__GPT__4 ModelID = "gpt-4" Model__Azure__GPT__4_1 ModelID = "gpt-4.1" Model__Azure__GPT__4__1__Mini__4_1 ModelID = "gpt-4.1-mini" Model__Azure__GPT__4__1__Nano__4_1 ModelID = "gpt-4.1-nano" Model__Azure__GPT__4__32k__4 ModelID = "gpt-4-32k" Model__Azure__GPT__4__Turbo ModelID = "gpt-4-turbo" Model__Azure__GPT__4__VisionTurbo ModelID = "gpt-4-turbo-vision" Model__Azure__GPT__4o ModelID = "gpt-4o" Model__Azure__GPT__4o__Mini ModelID = "gpt-4o-mini" Model__Azure__GPT__5 ModelID = "gpt-5" Model__Azure__GPT__5_1 ModelID = "gpt-5.1" Model__Azure__GPT__5_1__Chat ModelID = "gpt-5.1-chat" Model__Azure__GPT__5_2 ModelID = "gpt-5.2" Model__Azure__GPT__5_2__Chat ModelID = "gpt-5.2-chat" Model__Azure__GPT__5_3__Chat ModelID = "gpt-5.3-chat" Model__Azure__GPT__5_4 ModelID = "gpt-5.4" Model__Azure__GPT__5_5 ModelID = "gpt-5.5" Model__Azure__GPT__5__1__Codex__5_1 ModelID = "gpt-5.1-codex" Model__Azure__GPT__5__1__Codex__Max__5_1 ModelID = "gpt-5.1-codex-max" Model__Azure__GPT__5__1__Codex__Mini__5_1 ModelID = "gpt-5.1-codex-mini" Model__Azure__GPT__5__2__Codex__5_2 ModelID = "gpt-5.2-codex" Model__Azure__GPT__5__3__Codex__5_3 ModelID = "gpt-5.3-codex" Model__Azure__GPT__5__4__Mini__5_4 ModelID = "gpt-5.4-mini" Model__Azure__GPT__5__4__Nano__5_4 ModelID = "gpt-5.4-nano" Model__Azure__GPT__5__4__Pro__5_4 ModelID = "gpt-5.4-pro" Model__Azure__GPT__5__Chat ModelID = "gpt-5-chat" Model__Azure__GPT__5__Codex__5 ModelID = "gpt-5-codex" Model__Azure__GPT__5__Mini__5 ModelID = "gpt-5-mini" Model__Azure__GPT__5__Nano__5 ModelID = "gpt-5-nano" Model__Azure__GPT__5__Pro__5 ModelID = "gpt-5-pro" Model__Azure__Grok__4_1__ReasoningFast ModelID = "grok-4-1-fast-reasoning" Model__Azure__Grok__4_20__Reasoning ModelID = "grok-4-20-reasoning" Model__Azure__Grok__4__1__Fast__Non__Reasoning__4_1__Non_Reasoning ModelID = "grok-4-1-fast-non-reasoning" Model__Azure__Grok__4__20__Non__Reasoning__4_20__Non_Reasoning ModelID = "grok-4-20-non-reasoning" Model__Azure__Grok__4__ReasoningFast ModelID = "grok-4-fast-reasoning" Model__Azure__Kimi__K2__2__Thinking ModelID = "kimi-k2-thinking" Model__Azure__Kimi__K2__5__2_5 ModelID = "kimi-k2.5" Model__Azure__Kimi__K2__6__2_6 ModelID = "kimi-k2.6" Model__Azure__Llama__3__2__11b__3_2__VisionInstruct ModelID = 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Model__CloudflareAIGateway__Llama__3__1__8b__3_1__Instruct ModelID = "workers-ai/@cf/meta/llama-3.1-8b-instruct" Model__CloudflareAIGateway__Llama__3__1__8b__Instruct__Awq__3_1__Instruct ModelID = "workers-ai/@cf/meta/llama-3.1-8b-instruct-awq" Model__CloudflareAIGateway__Llama__3__1__8b__Instruct__Fp8__3_1__Instruct ModelID = "workers-ai/@cf/meta/llama-3.1-8b-instruct-fp8" Model__CloudflareAIGateway__Llama__3__2__11b__3_2__VisionInstruct ModelID = "workers-ai/@cf/meta/llama-3.2-11b-vision-instruct" Model__CloudflareAIGateway__Llama__3__2__1b__3_2__Instruct ModelID = "workers-ai/@cf/meta/llama-3.2-1b-instruct" Model__CloudflareAIGateway__Llama__3__2__3b__3_2__Instruct ModelID = "workers-ai/@cf/meta/llama-3.2-3b-instruct" Model__CloudflareAIGateway__Llama__3__3__70b__Instruct__Fp8__3_3__FastInstruct ModelID = "workers-ai/@cf/meta/llama-3.3-70b-instruct-fp8-fast" Model__CloudflareAIGateway__Llama__3__8b__3__Instruct ModelID = "workers-ai/@cf/meta/llama-3-8b-instruct" 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Model__HuggingFace__Kimi__K2__2__Instruct ModelID = "moonshotai/Kimi-K2-Instruct" Model__HuggingFace__Kimi__K2__2__Thinking ModelID = "moonshotai/Kimi-K2-Thinking" Model__HuggingFace__Kimi__K2__5__2_5 ModelID = "moonshotai/Kimi-K2.5" Model__HuggingFace__Kimi__K2__6__2_6 ModelID = "moonshotai/Kimi-K2.6" Model__HuggingFace__Kimi__K2__Instruct__0905__2__Instruct ModelID = "moonshotai/Kimi-K2-Instruct-0905" Model__HuggingFace__Mimo__V2__Flash ModelID = "XiaomiMiMo/MiMo-V2-Flash" Model__HuggingFace__MiniMax__M2__1__2_1 ModelID = "MiniMaxAI/MiniMax-M2.1" Model__HuggingFace__MiniMax__M2__5__2_5 ModelID = "MiniMaxAI/MiniMax-M2.5" Model__HuggingFace__MiniMax__M2__7__2_7 ModelID = "MiniMaxAI/MiniMax-M2.7" Model__HuggingFace__Qwen3__235B__A22b__Thinking__2507__3__Thinking ModelID = "Qwen/Qwen3-235B-A22B-Thinking-2507" Model__HuggingFace__Qwen3__5__397B__A17b__3_5 ModelID = "Qwen/Qwen3.5-397B-A17B" Model__HuggingFace__Qwen3__Coder__480B__A35b__3__Instruct ModelID = 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Model__IONet__Llama__3__2__90B__3_2__VisionInstruct ModelID = "meta-llama/Llama-3.2-90B-Vision-Instruct" Model__IONet__Llama__3__3__70B__3_3__Instruct ModelID = "meta-llama/Llama-3.3-70B-Instruct" Model__IONet__Llama__4__Maverick__17B__128E__Instruct__Fp8__4__Instruct ModelID = "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8" Model__IONet__Magistral__Small__2506 ModelID = "mistralai/Magistral-Small-2506" Model__IONet__Mistral__Large__Instruct__2411__Instruct ModelID = "mistralai/Mistral-Large-Instruct-2411" Model__IONet__Mistral__Nemo__Instruct__2407__Instruct ModelID = "mistralai/Mistral-Nemo-Instruct-2407" Model__IONet__Qwen2__5__Vl__32B__2_5__Instruct ModelID = "Qwen/Qwen2.5-VL-32B-Instruct" Model__IONet__Qwen3__235B__A22b__Thinking__2507__3__Thinking ModelID = "Qwen/Qwen3-235B-A22B-Thinking-2507" Model__IONet__Qwen3__Coder__480B__A35b__Instruct__Int4__Mixed__Ar__3 ModelID = "Intel/Qwen3-Coder-480B-A35B-Instruct-int4-mixed-ar" Model__IONet__Qwen3__Next__80B__A3b__3__Instruct ModelID = "Qwen/Qwen3-Next-80B-A3B-Instruct" Model__Inception__Mercury__2 ModelID = "mercury-2" Model__Inception__Mercury__Edit__2 ModelID = "mercury-edit-2" Model__Inceptron__GLM__5__1__Fp8__5_1 ModelID = "zai-org/GLM-5.1-FP8" Model__Inceptron__Kimi__K2__6__2_6 ModelID = "moonshotai/Kimi-K2.6" Model__Inceptron__Llama__3__3__70b__Instruct__Fp8__3_3__Instruct ModelID = "nvidia/llama-3.3-70b-instruct-fp8" Model__Inceptron__MiniMax__M2__5__2_5 ModelID = "MiniMaxAI/MiniMax-M2.5" Model__Inference__Gemma__3 ModelID = "google/gemma-3" Model__Inference__Llama__3__1__8b__3_1__Instruct ModelID = "meta/llama-3.1-8b-instruct" Model__Inference__Llama__3__2__11b__3_2__VisionInstruct ModelID = "meta/llama-3.2-11b-vision-instruct" Model__Inference__Llama__3__2__1b__3_2__Instruct ModelID = "meta/llama-3.2-1b-instruct" Model__Inference__Llama__3__2__3b__3_2__Instruct ModelID = "meta/llama-3.2-3b-instruct" Model__Inference__Mistral__Nemo__12b__Instruct ModelID = "mistral/mistral-nemo-12b-instruct" Model__Inference__Osmosis__Structure__0__6b ModelID = "osmosis/osmosis-structure-0.6b" Model__Inference__Qwen3__Embedding__4b__3 ModelID = "qwen/qwen3-embedding-4b" Model__Inference__Qwen__2__5__7b__2_5__VisionInstruct ModelID = "qwen/qwen-2.5-7b-vision-instruct" Model__Jiekou__Claude__Haiku__4_5__20251001 ModelID = "claude-haiku-4-5-20251001" Model__Jiekou__Claude__Opus__4_1__20250805 ModelID = "claude-opus-4-1-20250805" Model__Jiekou__Claude__Opus__4_5__20251101 ModelID = "claude-opus-4-5-20251101" Model__Jiekou__Claude__Opus__4_6 ModelID = "claude-opus-4-6" Model__Jiekou__Claude__Opus__4__20250514 ModelID = "claude-opus-4-20250514" Model__Jiekou__Claude__Sonnet__4_5__20250929 ModelID = "claude-sonnet-4-5-20250929" Model__Jiekou__Claude__Sonnet__4__20250514 ModelID = "claude-sonnet-4-20250514" Model__Jiekou__DeepSeek__R1__0528__Thinking ModelID = "deepseek/deepseek-r1-0528" Model__Jiekou__DeepSeek__V3__0324 ModelID = "deepseek/deepseek-v3-0324" Model__Jiekou__DeepSeek__V3__1 ModelID 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Model__Jiekou__GPT__5__Mini__5 ModelID = "gpt-5-mini" Model__Jiekou__GPT__5__Nano__5 ModelID = "gpt-5-nano" Model__Jiekou__GPT__5__Pro__5 ModelID = "gpt-5-pro" Model__Jiekou__Gemini__2__5__Flash__2_5 ModelID = "gemini-2.5-flash" Model__Jiekou__Gemini__2__5__Flash__Lite__2_5 ModelID = "gemini-2.5-flash-lite" Model__Jiekou__Gemini__2__5__Flash__Lite__Preview__06__17__2_5 ModelID = "gemini-2.5-flash-lite-preview-06-17" Model__Jiekou__Gemini__2__5__Flash__Lite__Preview__09__2025__2_5__Preview ModelID = "gemini-2.5-flash-lite-preview-09-2025" Model__Jiekou__Gemini__2__5__Flash__Preview__05__20__2_5 ModelID = "gemini-2.5-flash-preview-05-20" Model__Jiekou__Gemini__2__5__Pro__2_5 ModelID = "gemini-2.5-pro" Model__Jiekou__Gemini__2__5__Pro__Preview__06__05__2_5 ModelID = "gemini-2.5-pro-preview-06-05" Model__Jiekou__Gemini__3__Flash__3__Preview ModelID = "gemini-3-flash-preview" Model__Jiekou__Gemini__3__Pro__3__Preview ModelID = "gemini-3-pro-preview" Model__Jiekou__Grok__4_1__ReasoningFast 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Model__Jiekou__Qwen3__235b__A22b__Fp8__3 ModelID = "qwen/qwen3-235b-a22b-fp8" Model__Jiekou__Qwen3__235b__A22b__Instruct__2507__3__Instruct ModelID = "qwen/qwen3-235b-a22b-instruct-2507" Model__Jiekou__Qwen3__235b__A22b__Thinking__2507__3__Thinking ModelID = "qwen/qwen3-235b-a22b-thinking-2507" Model__Jiekou__Qwen3__30b__A3b__Fp8__3 ModelID = "qwen/qwen3-30b-a3b-fp8" Model__Jiekou__Qwen3__32b__Fp8__3 ModelID = "qwen/qwen3-32b-fp8" Model__Jiekou__Qwen3__Coder__480b__A35b__3__Instruct ModelID = "qwen/qwen3-coder-480b-a35b-instruct" Model__Jiekou__Qwen3__Coder__Next__3 ModelID = "qwen/qwen3-coder-next" Model__Jiekou__Qwen3__Next__80b__A3b__3__Instruct ModelID = "qwen/qwen3-next-80b-a3b-instruct" Model__Jiekou__Qwen3__Next__80b__A3b__3__Thinking ModelID = "qwen/qwen3-next-80b-a3b-thinking" Model__KUAECloudCodingPlan__GLM__4_7 ModelID = "GLM-4.7" Model__Kilo__Aion__1_0 ModelID = "aion-labs/aion-1.0" Model__Kilo__Aion__1__0__Mini__1_0 ModelID = "aion-labs/aion-1.0-mini" 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Model__Kilo__Cogito__V2__1__671b ModelID = "deepcogito/cogito-v2.1-671b" Model__Kilo__Command__A ModelID = "cohere/command-a" Model__Kilo__Command__R7b__12__2024__12 ModelID = "cohere/command-r7b-12-2024" Model__Kilo__Command__R__20240830 ModelID = "cohere/command-r-08-2024" Model__Kilo__Command__R__Plus__20240830 ModelID = "cohere/command-r-plus-08-2024" Model__Kilo__Cydonia__24b__V4__1 ModelID = "thedrummer/cydonia-24b-v4.1" Model__Kilo__DeepSeek__Chat ModelID = "deepseek/deepseek-chat" Model__Kilo__DeepSeek__Chat__V3__0324 ModelID = "deepseek/deepseek-chat-v3-0324" Model__Kilo__DeepSeek__Chat__V3__1__3_1 ModelID = "deepseek/deepseek-chat-v3.1" Model__Kilo__DeepSeek__R1 ModelID = "deepseek/deepseek-r1" Model__Kilo__DeepSeek__R1__0528 ModelID = "deepseek/deepseek-r1-0528" Model__Kilo__DeepSeek__R1__Distill__Llama__70b ModelID = "deepseek/deepseek-r1-distill-llama-70b" Model__Kilo__DeepSeek__R1__Distill__Qwen__32b ModelID = "deepseek/deepseek-r1-distill-qwen-32b" Model__Kilo__DeepSeek__V3__1__Nex__N1 ModelID = "nex-agi/deepseek-v3.1-nex-n1" Model__Kilo__DeepSeek__V3__1__Terminus ModelID = "deepseek/deepseek-v3.1-terminus" Model__Kilo__DeepSeek__V3__2 ModelID = "deepseek/deepseek-v3.2" Model__Kilo__DeepSeek__V3__2__Exp ModelID = "deepseek/deepseek-v3.2-exp" Model__Kilo__DeepSeek__V3__2__Speciale ModelID = "deepseek/deepseek-v3.2-speciale" Model__Kilo__DeepSeek__V4__Flash ModelID = "deepseek/deepseek-v4-flash" Model__Kilo__DeepSeek__V4__Pro ModelID = "deepseek/deepseek-v4-pro" Model__Kilo__Devstral__2512 ModelID = "mistralai/devstral-2512" Model__Kilo__Devstral__Medium ModelID = "mistralai/devstral-medium" Model__Kilo__Devstral__Small ModelID = "mistralai/devstral-small" Model__Kilo__Ernie__4__5__21b__A3b__4_5 ModelID = "baidu/ernie-4.5-21b-a3b" Model__Kilo__Ernie__4__5__21b__A3b__4_5__Thinking ModelID = "baidu/ernie-4.5-21b-a3b-thinking" Model__Kilo__Ernie__4__5__300b__A47b__4_5 ModelID = "baidu/ernie-4.5-300b-a47b" 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Model__Kilo__GPT__5__1__Codex__Mini__5_1 ModelID = "openai/gpt-5.1-codex-mini" Model__Kilo__GPT__5__2__Codex__5_2 ModelID = "openai/gpt-5.2-codex" Model__Kilo__GPT__5__2__Pro__5_2 ModelID = "openai/gpt-5.2-pro" Model__Kilo__GPT__5__3__Codex__5_3 ModelID = "openai/gpt-5.3-codex" Model__Kilo__GPT__5__4__Image__2__5_4 ModelID = "openai/gpt-5.4-image-2" Model__Kilo__GPT__5__4__Mini__5_4 ModelID = "openai/gpt-5.4-mini" Model__Kilo__GPT__5__4__Nano__5_4 ModelID = "openai/gpt-5.4-nano" Model__Kilo__GPT__5__4__Pro__5_4 ModelID = "openai/gpt-5.4-pro" Model__Kilo__GPT__5__5__Pro__5_5 ModelID = "openai/gpt-5.5-pro" Model__Kilo__GPT__5__Chat ModelID = "openai/gpt-5-chat" Model__Kilo__GPT__5__Codex__5 ModelID = "openai/gpt-5-codex" Model__Kilo__GPT__5__Image__5 ModelID = "openai/gpt-5-image" Model__Kilo__GPT__5__Image__Mini__5 ModelID = "openai/gpt-5-image-mini" Model__Kilo__GPT__5__Mini__5 ModelID = "openai/gpt-5-mini" Model__Kilo__GPT__5__Nano__5 ModelID = "openai/gpt-5-nano" Model__Kilo__GPT__5__Pro__5 ModelID = "openai/gpt-5-pro" Model__Kilo__GPT__Audio ModelID = "openai/gpt-audio" Model__Kilo__GPT__Audio__Mini ModelID = "openai/gpt-audio-mini" Model__Kilo__GPT__ChatLatest ModelID = "openai/gpt-chat-latest" Model__Kilo__GPT__Latest ModelID = "~openai/gpt-latest" Model__Kilo__GPT__Mini__Latest ModelID = "~openai/gpt-mini-latest" Model__Kilo__GPT__Oss__120b ModelID = "openai/gpt-oss-120b" Model__Kilo__GPT__Oss__20b ModelID = "openai/gpt-oss-20b" Model__Kilo__GPT__Oss__Safeguard__20b ModelID = "openai/gpt-oss-safeguard-20b" Model__Kilo__Gemini__2__0__Flash__001__2_0 ModelID = "google/gemini-2.0-flash-001" Model__Kilo__Gemini__2__0__Flash__Lite__001__2_0 ModelID = "google/gemini-2.0-flash-lite-001" Model__Kilo__Gemini__2__5__Flash__2_5 ModelID = "google/gemini-2.5-flash" Model__Kilo__Gemini__2__5__Flash__Image__2_5 ModelID = "google/gemini-2.5-flash-image" Model__Kilo__Gemini__2__5__Flash__Lite__2_5 ModelID = "google/gemini-2.5-flash-lite" Model__Kilo__Gemini__2__5__Flash__Lite__Preview__2_5__Preview__20250925 ModelID = "google/gemini-2.5-flash-lite-preview-09-2025" Model__Kilo__Gemini__2__5__Pro__2_5 ModelID = "google/gemini-2.5-pro" Model__Kilo__Gemini__2__5__Pro__2_5__Preview ModelID = "google/gemini-2.5-pro-preview" Model__Kilo__Gemini__2__5__Pro__Preview__2_5__20250506 ModelID = "google/gemini-2.5-pro-preview-05-06" Model__Kilo__Gemini__3__1__Flash__Image__3_1__Preview ModelID = "google/gemini-3.1-flash-image-preview" Model__Kilo__Gemini__3__1__Flash__Lite__3_1 ModelID = "google/gemini-3.1-flash-lite" Model__Kilo__Gemini__3__1__Flash__Lite__3_1__Preview ModelID = "google/gemini-3.1-flash-lite-preview" Model__Kilo__Gemini__3__1__Pro__3_1__Preview ModelID = "google/gemini-3.1-pro-preview" Model__Kilo__Gemini__3__1__Pro__Preview__Customtools__3_1 ModelID = "google/gemini-3.1-pro-preview-customtools" Model__Kilo__Gemini__3__5__Flash__3_5 ModelID = "google/gemini-3.5-flash" Model__Kilo__Gemini__3__Flash__3__Preview ModelID = "google/gemini-3-flash-preview" Model__Kilo__Gemini__3__Pro__Image__3__Preview ModelID = "google/gemini-3-pro-image-preview" Model__Kilo__Gemini__Flash__Latest ModelID = "~google/gemini-flash-latest" Model__Kilo__Gemini__Pro__Latest ModelID = "~google/gemini-pro-latest" Model__Kilo__Gemma__2__27b__It__2 ModelID = "google/gemma-2-27b-it" Model__Kilo__Gemma__3__12b__It__3 ModelID = "google/gemma-3-12b-it" Model__Kilo__Gemma__3__27b__It__3 ModelID = "google/gemma-3-27b-it" Model__Kilo__Gemma__3__4b__It__3 ModelID = "google/gemma-3-4b-it" Model__Kilo__Gemma__3n__E4b__It ModelID = "google/gemma-3n-e4b-it" Model__Kilo__Gemma__4__26b__A4b__It__4 ModelID = "google/gemma-4-26b-a4b-it" Model__Kilo__Gemma__4__31b__It__4 ModelID = "google/gemma-4-31b-it" Model__Kilo__Granite__4__0__H__Micro__4_0 ModelID = "ibm-granite/granite-4.0-h-micro" Model__Kilo__Granite__4__1__8b__4_1 ModelID = "ibm-granite/granite-4.1-8b" Model__Kilo__Grok__4_20 ModelID = "x-ai/grok-4.20" Model__Kilo__Grok__4_3 ModelID = "x-ai/grok-4.3" Model__Kilo__Grok__4__20__Multi__Agent__4_20 ModelID = "x-ai/grok-4.20-multi-agent" Model__Kilo__Grok__Build__0_1 ModelID = "x-ai/grok-build-0.1" Model__Kilo__Hermes__2__Pro__Llama__3__8b__2 ModelID = "nousresearch/hermes-2-pro-llama-3-8b" Model__Kilo__Hermes__3__Llama__3__1__405b__3 ModelID = "nousresearch/hermes-3-llama-3.1-405b" Model__Kilo__Hermes__3__Llama__3__1__70b__3 ModelID = "nousresearch/hermes-3-llama-3.1-70b" Model__Kilo__Hermes__4__405b__4 ModelID = "nousresearch/hermes-4-405b" Model__Kilo__Hermes__4__70b__4 ModelID = "nousresearch/hermes-4-70b" Model__Kilo__Hunyuan__A13b__Instruct ModelID = "tencent/hunyuan-a13b-instruct" Model__Kilo__Hy3__3__Preview ModelID = "tencent/hy3-preview" Model__Kilo__Inflection__3__Pi__3 ModelID = "inflection/inflection-3-pi" Model__Kilo__Inflection__3__Productivity__3 ModelID = "inflection/inflection-3-productivity" Model__Kilo__Intellect__3 ModelID = "prime-intellect/intellect-3" Model__Kilo__Jamba__Large__1_7 ModelID = "ai21/jamba-large-1.7" Model__Kilo__Kat__Coder__Pro__V2 ModelID = "kwaipilot/kat-coder-pro-v2" Model__Kilo__Kimi__K2__0905__2 ModelID = "moonshotai/kimi-k2-0905" Model__Kilo__Kimi__K2__2 ModelID = "moonshotai/kimi-k2" Model__Kilo__Kimi__K2__2__Thinking ModelID = "moonshotai/kimi-k2-thinking" Model__Kilo__Kimi__K2__5__2_5 ModelID = "moonshotai/kimi-k2.5" Model__Kilo__Kimi__K2__6__2_6 ModelID = "moonshotai/kimi-k2.6" Model__Kilo__Kimi__Latest ModelID = "~moonshotai/kimi-latest" Model__Kilo__L3__1__70b__Hanami__X1 ModelID = "sao10k/l3.1-70b-hanami-x1" Model__Kilo__L3__1__Euryale__70b ModelID = "sao10k/l3.1-euryale-70b" Model__Kilo__L3__3__Euryale__70b ModelID = "sao10k/l3.3-euryale-70b" Model__Kilo__L3__Euryale__70b ModelID = "sao10k/l3-euryale-70b" Model__Kilo__L3__Lunaris__8b ModelID = "sao10k/l3-lunaris-8b" Model__Kilo__Laguna__M__1__Free ModelID = "poolside/laguna-m.1:free" Model__Kilo__Laguna__Xs__2__Free ModelID = "poolside/laguna-xs.2:free" Model__Kilo__Lfm__2__24b__A2b__2 ModelID = "liquid/lfm-2-24b-a2b" Model__Kilo__Ling__2__6__1t__2_6 ModelID = "inclusionai/ling-2.6-1t" Model__Kilo__Ling__2__6__Flash__2_6 ModelID = "inclusionai/ling-2.6-flash" Model__Kilo__Llama__3__1__70b__3_1__Instruct ModelID = "meta-llama/llama-3.1-70b-instruct" Model__Kilo__Llama__3__1__8b__3_1__Instruct ModelID = "meta-llama/llama-3.1-8b-instruct" Model__Kilo__Llama__3__2__11b__3_2__VisionInstruct ModelID = "meta-llama/llama-3.2-11b-vision-instruct" Model__Kilo__Llama__3__2__1b__3_2__Instruct ModelID = "meta-llama/llama-3.2-1b-instruct" Model__Kilo__Llama__3__2__3b__3_2__Instruct ModelID = "meta-llama/llama-3.2-3b-instruct" Model__Kilo__Llama__3__3__70b__3_3__Instruct ModelID = "meta-llama/llama-3.3-70b-instruct" Model__Kilo__Llama__3__3__Nemotron__Super__49b__V1__5__3_3 ModelID = "nvidia/llama-3.3-nemotron-super-49b-v1.5" Model__Kilo__Llama__3__70b__3__Instruct ModelID = "meta-llama/llama-3-70b-instruct" Model__Kilo__Llama__3__8b__3__Instruct ModelID = "meta-llama/llama-3-8b-instruct" Model__Kilo__Llama__4__Maverick__4 ModelID = "meta-llama/llama-4-maverick" Model__Kilo__Llama__4__Scout__4 ModelID = "meta-llama/llama-4-scout" Model__Kilo__Llama__Guard__3__8b__3 ModelID = "meta-llama/llama-guard-3-8b" Model__Kilo__Llama__Guard__4__12b__4 ModelID = "meta-llama/llama-guard-4-12b" Model__Kilo__Lyria__3__Clip__3__Preview ModelID = "google/lyria-3-clip-preview" Model__Kilo__Lyria__3__Pro__3__Preview ModelID = "google/lyria-3-pro-preview" Model__Kilo__Maestro__Reasoning ModelID = "arcee-ai/maestro-reasoning" Model__Kilo__Magnum__V4__72b ModelID = "anthracite-org/magnum-v4-72b" Model__Kilo__Mercury__2 ModelID = "inception/mercury-2" Model__Kilo__Mimo__V2__2__Omni ModelID = "xiaomi/mimo-v2-omni" Model__Kilo__Mimo__V2__2__Pro ModelID = "xiaomi/mimo-v2-pro" Model__Kilo__Mimo__V2__5__2_5 ModelID = "xiaomi/mimo-v2.5" Model__Kilo__Mimo__V2__5__2_5__Pro ModelID = "xiaomi/mimo-v2.5-pro" Model__Kilo__Mimo__V2__Flash ModelID = "xiaomi/mimo-v2-flash" Model__Kilo__MiniMax__01 ModelID = "minimax/minimax-01" Model__Kilo__MiniMax__M1__1 ModelID = "minimax/minimax-m1" Model__Kilo__MiniMax__M2__1__2_1 ModelID = "minimax/minimax-m2.1" Model__Kilo__MiniMax__M2__2 ModelID = "minimax/minimax-m2" Model__Kilo__MiniMax__M2__5__2_5 ModelID = "minimax/minimax-m2.5" Model__Kilo__MiniMax__M2__7__2_7 ModelID = "minimax/minimax-m2.7" Model__Kilo__MiniMax__M2__Her ModelID = "minimax/minimax-m2-her" Model__Kilo__Ministral__14b__2512 ModelID = "mistralai/ministral-14b-2512" Model__Kilo__Ministral__3b__2512 ModelID = "mistralai/ministral-3b-2512" Model__Kilo__Ministral__8b__2512 ModelID = "mistralai/ministral-8b-2512" Model__Kilo__Mistral__7b__Instruct__V0__1__0_1__Instruct ModelID = "mistralai/mistral-7b-instruct-v0.1" Model__Kilo__Mistral__Large ModelID = "mistralai/mistral-large" Model__Kilo__Mistral__Large__2407 ModelID = "mistralai/mistral-large-2407" Model__Kilo__Mistral__Large__2411 ModelID = "mistralai/mistral-large-2411" Model__Kilo__Mistral__Large__2512 ModelID = "mistralai/mistral-large-2512" Model__Kilo__Mistral__Medium__3 ModelID = "mistralai/mistral-medium-3" Model__Kilo__Mistral__Medium__3_1 ModelID = "mistralai/mistral-medium-3.1" Model__Kilo__Mistral__Medium__3_5 ModelID = "mistralai/mistral-medium-3-5" Model__Kilo__Mistral__Nemo ModelID = "mistralai/mistral-nemo" Model__Kilo__Mistral__Saba ModelID = "mistralai/mistral-saba" Model__Kilo__Mistral__Small__24b__Instruct__2501__Instruct ModelID = "mistralai/mistral-small-24b-instruct-2501" Model__Kilo__Mistral__Small__2603 ModelID = "mistralai/mistral-small-2603" Model__Kilo__Mistral__Small__3__1__24b__3_1__Instruct ModelID = "mistralai/mistral-small-3.1-24b-instruct" Model__Kilo__Mistral__Small__3__2__24b__3_2__Instruct ModelID = "mistralai/mistral-small-3.2-24b-instruct" Model__Kilo__Mixtral__8x22b__Instruct ModelID = "mistralai/mixtral-8x22b-instruct" Model__Kilo__Morph__V3__Fast ModelID = "morph/morph-v3-fast" Model__Kilo__Morph__V3__Large ModelID = "morph/morph-v3-large" Model__Kilo__Mythomax__L2__13b ModelID = "gryphe/mythomax-l2-13b" Model__Kilo__Nemotron__3__Nano__30b__A3b__3 ModelID = "nvidia/nemotron-3-nano-30b-a3b" Model__Kilo__Nemotron__3__Nano__Omni__30b__A3b__Reasoning__Free__3__Reasoning ModelID = "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free" Model__Kilo__Nemotron__3__Super__120b__A12b__3 ModelID = "nvidia/nemotron-3-super-120b-a12b" Model__Kilo__Nemotron__3__Super__120b__A12b__Free__3 ModelID = "nvidia/nemotron-3-super-120b-a12b:free" Model__Kilo__Nemotron__Nano__9b__V2 ModelID = "nvidia/nemotron-nano-9b-v2" Model__Kilo__Nova__2__Lite__V1__2 ModelID = "amazon/nova-2-lite-v1" Model__Kilo__Nova__Lite__V1 ModelID = "amazon/nova-lite-v1" Model__Kilo__Nova__Micro__V1 ModelID = "amazon/nova-micro-v1" Model__Kilo__Nova__Premier__V1 ModelID = "amazon/nova-premier-v1" Model__Kilo__Nova__Pro__V1 ModelID = "amazon/nova-pro-v1" Model__Kilo__O1__1 ModelID = "openai/o1" Model__Kilo__O1__1__Pro ModelID = "openai/o1-pro" Model__Kilo__O3__3 ModelID = "openai/o3" Model__Kilo__O3__3__Mini ModelID = "openai/o3-mini" Model__Kilo__O3__3__Pro ModelID = "openai/o3-pro" Model__Kilo__O3__Deep__Research__3__Deep_Research ModelID = "openai/o3-deep-research" Model__Kilo__O3__Mini__High__3__Mini ModelID = "openai/o3-mini-high" Model__Kilo__O4__4__Mini ModelID = "openai/o4-mini" Model__Kilo__O4__Mini__Deep__Research__4__Mini ModelID = "openai/o4-mini-deep-research" Model__Kilo__O4__Mini__High__4__Mini ModelID = "openai/o4-mini-high" Model__Kilo__OLMo__3__32b__3__Think ModelID = "allenai/olmo-3-32b-think" Model__Kilo__Owl__Alpha ModelID = "openrouter/owl-alpha" Model__Kilo__Palmyra__X5 ModelID = "writer/palmyra-x5" Model__Kilo__Pareto__Code ModelID = "openrouter/pareto-code" Model__Kilo__Perceptron__Mk1 ModelID = "perceptron/perceptron-mk1" Model__Kilo__Phi__4 ModelID = "microsoft/phi-4" Model__Kilo__Phi__4__Mini__4__Instruct ModelID = "microsoft/phi-4-mini-instruct" Model__Kilo__Pixtral__Large__2411 ModelID = "mistralai/pixtral-large-2411" Model__Kilo__Qianfan__Ocr__Fast ModelID = "baidu/qianfan-ocr-fast" Model__Kilo__Qwen2__5__Vl__72b__2_5__Instruct ModelID = "qwen/qwen2.5-vl-72b-instruct" Model__Kilo__Qwen3__14b__3 ModelID = "qwen/qwen3-14b" Model__Kilo__Qwen3__235b__A22b__2507__3 ModelID = "qwen/qwen3-235b-a22b-2507" Model__Kilo__Qwen3__235b__A22b__3 ModelID = "qwen/qwen3-235b-a22b" Model__Kilo__Qwen3__235b__A22b__Thinking__2507__3__Thinking ModelID = "qwen/qwen3-235b-a22b-thinking-2507" Model__Kilo__Qwen3__30b__A3b__3 ModelID = "qwen/qwen3-30b-a3b" Model__Kilo__Qwen3__30b__A3b__Instruct__2507__3__Instruct ModelID = "qwen/qwen3-30b-a3b-instruct-2507" Model__Kilo__Qwen3__30b__A3b__Thinking__2507__3__Thinking ModelID = "qwen/qwen3-30b-a3b-thinking-2507" Model__Kilo__Qwen3__32b__3 ModelID = "qwen/qwen3-32b" Model__Kilo__Qwen3__5__122b__A10b__3_5 ModelID = "qwen/qwen3.5-122b-a10b" Model__Kilo__Qwen3__5__27b__3_5 ModelID = "qwen/qwen3.5-27b" Model__Kilo__Qwen3__5__35b__A3b__3_5 ModelID = "qwen/qwen3.5-35b-a3b" Model__Kilo__Qwen3__5__397b__A17b__3_5 ModelID = "qwen/qwen3.5-397b-a17b" Model__Kilo__Qwen3__5__9b__3_5 ModelID = "qwen/qwen3.5-9b" Model__Kilo__Qwen3__5__Flash__02__23__3_5 ModelID = "qwen/qwen3.5-flash-02-23" Model__Kilo__Qwen3__5__Plus__3_5__20260215 ModelID = "qwen/qwen3.5-plus-02-15" Model__Kilo__Qwen3__5__Plus__3_5__20260420 ModelID = "qwen/qwen3.5-plus-20260420" Model__Kilo__Qwen3__6__27b__3_6 ModelID = "qwen/qwen3.6-27b" Model__Kilo__Qwen3__6__35b__A3b__3_6 ModelID = "qwen/qwen3.6-35b-a3b" Model__Kilo__Qwen3__6__Flash__3_6 ModelID = "qwen/qwen3.6-flash" Model__Kilo__Qwen3__6__Max__3_6__Preview ModelID = "qwen/qwen3.6-max-preview" Model__Kilo__Qwen3__6__Plus__3_6 ModelID = "qwen/qwen3.6-plus" Model__Kilo__Qwen3__7__Max__3_7 ModelID = "qwen/qwen3.7-max" Model__Kilo__Qwen3__8b__3 ModelID = "qwen/qwen3-8b" Model__Kilo__Qwen3__Coder__3 ModelID = "qwen/qwen3-coder" Model__Kilo__Qwen3__Coder__30b__A3b__3__Instruct ModelID = 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"qwen/qwen3-vl-32b-instruct" Model__Kilo__Qwen3__Vl__8b__3__Instruct ModelID = "qwen/qwen3-vl-8b-instruct" Model__Kilo__Qwen3__Vl__8b__3__Thinking ModelID = "qwen/qwen3-vl-8b-thinking" Model__Kilo__Qwen__2__5__72b__2_5__Instruct ModelID = "qwen/qwen-2.5-72b-instruct" Model__Kilo__Qwen__2__5__7b__2_5__Instruct ModelID = "qwen/qwen-2.5-7b-instruct" Model__Kilo__Qwen__2__5__Coder__32b__2_5__Instruct ModelID = "qwen/qwen-2.5-coder-32b-instruct" Model__Kilo__Qwen__Plus ModelID = "qwen/qwen-plus" Model__Kilo__Qwen__Plus__20250728 ModelID = "qwen/qwen-plus-2025-07-28" Model__Kilo__Qwen__Plus__2025__07__28__Thinking ModelID = "qwen/qwen-plus-2025-07-28:thinking" Model__Kilo__Reka__Edge ModelID = "rekaai/reka-edge" Model__Kilo__Reka__Flash__3 ModelID = "rekaai/reka-flash-3" Model__Kilo__Relace__Apply__3 ModelID = "relace/relace-apply-3" Model__Kilo__Relace__Search ModelID = "relace/relace-search" Model__Kilo__Remm__Slerp__L2__13b ModelID = "undi95/remm-slerp-l2-13b" Model__Kilo__Ring__2__6__1t__2_6 ModelID = "inclusionai/ring-2.6-1t" Model__Kilo__Rnj__1__Instruct ModelID = "essentialai/rnj-1-instruct" Model__Kilo__Rocinante__12b ModelID = "thedrummer/rocinante-12b" Model__Kilo__Router ModelID = "switchpoint/router" Model__Kilo__Seed__1_6 ModelID = "bytedance-seed/seed-1.6" Model__Kilo__Seed__1__6__Flash__1_6 ModelID = "bytedance-seed/seed-1.6-flash" Model__Kilo__Seed__2__0__Lite__2_0 ModelID = "bytedance-seed/seed-2.0-lite" Model__Kilo__Seed__2__0__Mini__2_0 ModelID = "bytedance-seed/seed-2.0-mini" Model__Kilo__Skyfall__36b__V2 ModelID = "thedrummer/skyfall-36b-v2" Model__Kilo__Small ModelID = "kilo-auto/small" Model__Kilo__Solar__Pro__3 ModelID = "upstage/solar-pro-3" Model__Kilo__Sonar ModelID = "perplexity/sonar" Model__Kilo__Sonar__Deep__Research ModelID = "perplexity/sonar-deep-research" Model__Kilo__Sonar__Pro ModelID = "perplexity/sonar-pro" Model__Kilo__Sonar__Pro__Search ModelID = "perplexity/sonar-pro-search" Model__Kilo__Sonar__Reasoning__Pro ModelID = "perplexity/sonar-reasoning-pro" Model__Kilo__Spotlight ModelID = "arcee-ai/spotlight" Model__Kilo__Step__3__5__Flash__3_5 ModelID = "stepfun/step-3.5-flash" Model__Kilo__Trinity__Large__Thinking ModelID = "arcee-ai/trinity-large-thinking" Model__Kilo__Trinity__Mini ModelID = "arcee-ai/trinity-mini" Model__Kilo__Ui__Tars__1__5__7b ModelID = "bytedance/ui-tars-1.5-7b" Model__Kilo__Unslopnemo__12b ModelID = "thedrummer/unslopnemo-12b" Model__Kilo__Virtuoso__Large ModelID = "arcee-ai/virtuoso-large" Model__Kilo__Voxtral__Small__24b__2507 ModelID = "mistralai/voxtral-small-24b-2507" Model__Kilo__Weaver ModelID = "mancer/weaver" Model__Kilo__WizardLM__2__8x22b__2 ModelID = "microsoft/wizardlm-2-8x22b" Model__KimiForCoding__K2p5__2_5__Thinking ModelID = "k2p5" Model__KimiForCoding__K2p6__2_6__Thinking ModelID = "k2p6" Model__KimiForCoding__Kimi__K2__2__Thinking ModelID = "kimi-k2-thinking" Model__LMStudio__GPT__Oss__20b ModelID = 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Model__LlmGateway__Claude__Opus__4_7 ModelID = "claude-opus-4-7" Model__LlmGateway__Claude__Opus__4_8 ModelID = "claude-opus-4-8" Model__LlmGateway__Claude__Opus__4__20250514 ModelID = "claude-opus-4-20250514" Model__LlmGateway__Claude__Sonnet__4_5 ModelID = "claude-sonnet-4-5" Model__LlmGateway__Claude__Sonnet__4_5__20250929 ModelID = "claude-sonnet-4-5-20250929" Model__LlmGateway__Claude__Sonnet__4_6 ModelID = "claude-sonnet-4-6" Model__LlmGateway__Claude__Sonnet__4__20250514 ModelID = "claude-sonnet-4-20250514" Model__LlmGateway__Codestral__2508 ModelID = "codestral-2508" Model__LlmGateway__Custom ModelID = "custom" Model__LlmGateway__DeepSeek__R1__0528 ModelID = "deepseek-r1-0528" Model__LlmGateway__DeepSeek__V3__1 ModelID = "deepseek-v3.1" Model__LlmGateway__DeepSeek__V3__2 ModelID = "deepseek-v3.2" Model__LlmGateway__DeepSeek__V4__Flash ModelID = "deepseek-v4-flash" Model__LlmGateway__DeepSeek__V4__Pro__Thinking ModelID = "deepseek-v4-pro" Model__LlmGateway__Devstral__2512 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Model__LlmGateway__Llama__4__Scout__17b__4__Instruct ModelID = "llama-4-scout-17b-instruct" Model__LlmGateway__Llama__4__Scout__4 ModelID = "llama-4-scout" Model__LlmGateway__Mimo__V2__2__Omni ModelID = "mimo-v2-omni" Model__LlmGateway__Mimo__V2__2__Pro ModelID = "mimo-v2-pro" Model__LlmGateway__Mimo__V2__5__2_5 ModelID = "mimo-v2.5" Model__LlmGateway__Mimo__V2__5__2_5__Pro ModelID = "mimo-v2.5-pro" Model__LlmGateway__Mimo__V2__Flash ModelID = "mimo-v2-flash" Model__LlmGateway__MiniMax__M2__1__2_1 ModelID = "minimax-m2.1" Model__LlmGateway__MiniMax__M2__1__2_1__Lightning ModelID = "minimax-m2.1-lightning" Model__LlmGateway__MiniMax__M2__2 ModelID = "minimax-m2" Model__LlmGateway__MiniMax__M2__5__2_5 ModelID = "minimax-m2.5" Model__LlmGateway__MiniMax__M2__5__2_5__Highspeed ModelID = "minimax-m2.5-highspeed" Model__LlmGateway__MiniMax__M2__7__2_7 ModelID = "minimax-m2.7" Model__LlmGateway__MiniMax__M2__7__2_7__Highspeed ModelID = "minimax-m2.7-highspeed" Model__LlmGateway__MiniMax__Text__01 ModelID = "minimax-text-01" Model__LlmGateway__Ministral__14b__2512 ModelID = "ministral-14b-2512" Model__LlmGateway__Ministral__3b__2512 ModelID = "ministral-3b-2512" Model__LlmGateway__Ministral__8b__2512 ModelID = "ministral-8b-2512" Model__LlmGateway__Mistral__Large__2512 ModelID = "mistral-large-2512" Model__LlmGateway__Mistral__Large__Latest ModelID = "mistral-large-latest" Model__LlmGateway__Mistral__Small__2506 ModelID = "mistral-small-2506" Model__LlmGateway__O1__1 ModelID = "o1" Model__LlmGateway__O3__3 ModelID = "o3" Model__LlmGateway__O3__3__Mini ModelID = "o3-mini" Model__LlmGateway__O4__4__Mini ModelID = "o4-mini" Model__LlmGateway__Pixtral__Large__Latest ModelID = "pixtral-large-latest" Model__LlmGateway__Qwen25__Coder__7b__25 ModelID = "qwen25-coder-7b" Model__LlmGateway__Qwen2__5__Vl__32b__2__Instruct ModelID = "qwen2-5-vl-32b-instruct" Model__LlmGateway__Qwen2__5__Vl__72b__2__Instruct ModelID = "qwen2-5-vl-72b-instruct" Model__LlmGateway__Qwen35__397b__A17b__35 ModelID = "qwen35-397b-a17b" Model__LlmGateway__Qwen3__235b__A22b__Fp8__3 ModelID = "qwen3-235b-a22b-fp8" Model__LlmGateway__Qwen3__235b__A22b__Instruct__2507__3__Instruct ModelID = "qwen3-235b-a22b-instruct-2507" Model__LlmGateway__Qwen3__235b__A22b__Thinking__2507__3__Thinking ModelID = "qwen3-235b-a22b-thinking-2507" Model__LlmGateway__Qwen3__30b__A3b__Fp8__3 ModelID = "qwen3-30b-a3b-fp8" Model__LlmGateway__Qwen3__30b__A3b__Instruct__2507__3__Instruct ModelID = "qwen3-30b-a3b-instruct-2507" Model__LlmGateway__Qwen3__30b__A3b__Thinking__2507__3__Thinking ModelID = "qwen3-30b-a3b-thinking-2507" Model__LlmGateway__Qwen3__32b__3 ModelID = "qwen3-32b" Model__LlmGateway__Qwen3__32b__Fp8__3 ModelID = "qwen3-32b-fp8" Model__LlmGateway__Qwen3__4b__Fp8__3 ModelID = "qwen3-4b-fp8" Model__LlmGateway__Qwen3__6__35b__A3b__3_6 ModelID = "qwen3.6-35b-a3b" Model__LlmGateway__Qwen3__6__Max__3_6__Preview ModelID = "qwen3.6-max-preview" Model__LlmGateway__Qwen3__6__Plus__3_6 ModelID = "qwen3.6-plus" Model__LlmGateway__Qwen3__7__Max__3_7 ModelID = "qwen3.7-max" Model__LlmGateway__Qwen3__Coder__30b__A3b__3__Instruct ModelID = "qwen3-coder-30b-a3b-instruct" Model__LlmGateway__Qwen3__Coder__480b__A35b__3__Instruct ModelID = "qwen3-coder-480b-a35b-instruct" Model__LlmGateway__Qwen3__Coder__Flash__3 ModelID = "qwen3-coder-flash" Model__LlmGateway__Qwen3__Coder__Next__3 ModelID = "qwen3-coder-next" Model__LlmGateway__Qwen3__Coder__Plus__3 ModelID = "qwen3-coder-plus" Model__LlmGateway__Qwen3__Max__3 ModelID = "qwen3-max" Model__LlmGateway__Qwen3__Max__3__20260123 ModelID = "qwen3-max-2026-01-23" Model__LlmGateway__Qwen3__Next__80b__A3b__3__Instruct ModelID = "qwen3-next-80b-a3b-instruct" Model__LlmGateway__Qwen3__Next__80b__A3b__3__Thinking ModelID = "qwen3-next-80b-a3b-thinking" Model__LlmGateway__Qwen3__Vl__235b__A22b__3__Instruct ModelID = "qwen3-vl-235b-a22b-instruct" Model__LlmGateway__Qwen3__Vl__235b__A22b__3__Thinking ModelID = "qwen3-vl-235b-a22b-thinking" Model__LlmGateway__Qwen3__Vl__30b__A3b__3__Instruct ModelID = "qwen3-vl-30b-a3b-instruct" Model__LlmGateway__Qwen3__Vl__30b__A3b__3__Thinking ModelID = "qwen3-vl-30b-a3b-thinking" Model__LlmGateway__Qwen3__Vl__8b__3__Instruct ModelID = "qwen3-vl-8b-instruct" Model__LlmGateway__Qwen3__Vl__Flash__3 ModelID = "qwen3-vl-flash" Model__LlmGateway__Qwen3__Vl__Plus__3 ModelID = "qwen3-vl-plus" Model__LlmGateway__Qwen__Coder__Plus ModelID = "qwen-coder-plus" Model__LlmGateway__Qwen__Flash ModelID = "qwen-flash" Model__LlmGateway__Qwen__Max ModelID = "qwen-max" Model__LlmGateway__Qwen__Max__Latest ModelID = "qwen-max-latest" Model__LlmGateway__Qwen__Omni__Turbo ModelID = "qwen-omni-turbo" Model__LlmGateway__Qwen__Plus ModelID = "qwen-plus" Model__LlmGateway__Qwen__Plus__Latest ModelID = "qwen-plus-latest" Model__LlmGateway__Qwen__Turbo ModelID = "qwen-turbo" Model__LlmGateway__Qwen__Vl__Max ModelID = "qwen-vl-max" Model__LlmGateway__Qwen__Vl__Plus ModelID = "qwen-vl-plus" Model__LlmGateway__Qwq__Plus ModelID = "qwq-plus" Model__LlmGateway__Seed__1__6__250615__1_6 ModelID = "seed-1-6-250615" Model__LlmGateway__Seed__1__6__250915__1_6 ModelID = "seed-1-6-250915" Model__LlmGateway__Seed__1__6__Flash__250715__1_6 ModelID = "seed-1-6-flash-250715" Model__LlmGateway__Seed__1__8__251228__1_8 ModelID = "seed-1-8-251228" Model__LlmGateway__Sonar ModelID = "sonar" Model__LlmGateway__Sonar__Pro ModelID = "sonar-pro" Model__LlmGateway__Sonar__Reasoning__Pro ModelID = "sonar-reasoning-pro" Model__LucidQuery__Lucidnova__Rf1__100b ModelID = "lucidnova-rf1-100b" Model__LucidQuery__Lucidquery__Nexus__Coder ModelID = "lucidquery-nexus-coder" Model__Meganova__DeepSeek__R1__0528__Thinking ModelID = "deepseek-ai/DeepSeek-R1-0528" Model__Meganova__DeepSeek__V3__0324 ModelID = "deepseek-ai/DeepSeek-V3-0324" Model__Meganova__DeepSeek__V3__1 ModelID = "deepseek-ai/DeepSeek-V3.1" Model__Meganova__DeepSeek__V3__2 ModelID = "deepseek-ai/DeepSeek-V3.2" Model__Meganova__DeepSeek__V3__2__Exp ModelID = "deepseek-ai/DeepSeek-V3.2-Exp" Model__Meganova__GLM__4_6 ModelID = "zai-org/GLM-4.6" Model__Meganova__GLM__4_7 ModelID = "zai-org/GLM-4.7" Model__Meganova__GLM__5 ModelID = "zai-org/GLM-5" Model__Meganova__Kimi__K2__2__Thinking ModelID = "moonshotai/Kimi-K2-Thinking" Model__Meganova__Kimi__K2__5__2_5 ModelID = "moonshotai/Kimi-K2.5" Model__Meganova__Llama__3__3__70B__3_3__Instruct ModelID = "meta-llama/Llama-3.3-70B-Instruct" Model__Meganova__Mimo__V2__Flash ModelID = "XiaomiMiMo/MiMo-V2-Flash" Model__Meganova__MiniMax__M2__1__2_1 ModelID = "MiniMaxAI/MiniMax-M2.1" Model__Meganova__MiniMax__M2__5__2_5 ModelID = "MiniMaxAI/MiniMax-M2.5" Model__Meganova__Mistral__Nemo__Instruct__2407__Instruct ModelID = "mistralai/Mistral-Nemo-Instruct-2407" Model__Meganova__Mistral__Small__3__2__24B__Instruct__2506__3_2__Instruct ModelID = "mistralai/Mistral-Small-3.2-24B-Instruct-2506" Model__Meganova__Qwen2__5__Vl__32B__2_5__Instruct ModelID = "Qwen/Qwen2.5-VL-32B-Instruct" Model__Meganova__Qwen3__235B__A22b__Instruct__2507__3__Instruct ModelID = "Qwen/Qwen3-235B-A22B-Instruct-2507" Model__Meganova__Qwen3__5__Plus__3_5 ModelID = "Qwen/Qwen3.5-Plus" Model__MergeGateway__Claude__Haiku__4_5__20251001 ModelID = "anthropic/claude-haiku-4-5-20251001" Model__MergeGateway__Claude__Opus__4_1__20250805 ModelID = "anthropic/claude-opus-4-1-20250805" Model__MergeGateway__Claude__Opus__4_5__20251101 ModelID = "anthropic/claude-opus-4-5-20251101" Model__MergeGateway__Claude__Opus__4_6 ModelID = "anthropic/claude-opus-4-6" Model__MergeGateway__Claude__Opus__4_7 ModelID = "anthropic/claude-opus-4-7" Model__MergeGateway__Claude__Opus__4__20250514 ModelID = "anthropic/claude-opus-4-20250514" Model__MergeGateway__Claude__Sonnet__4_5__20250929 ModelID = "anthropic/claude-sonnet-4-5-20250929" Model__MergeGateway__Claude__Sonnet__4_6 ModelID = "anthropic/claude-sonnet-4-6" Model__MergeGateway__Claude__Sonnet__4__20250514 ModelID = 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Model__MergeGateway__GLM__4_6 ModelID = "zai/glm-4.6" Model__MergeGateway__GLM__4_7 ModelID = "zai/glm-4.7" Model__MergeGateway__GLM__4__5__Air__4_5 ModelID = "zai/glm-4.5-air" Model__MergeGateway__GLM__4__7__Flashx__4_7 ModelID = "zai/glm-4.7-flashx" Model__MergeGateway__GLM__5 ModelID = "zai/glm-5" Model__MergeGateway__GLM__5_1 ModelID = "zai/glm-5.1" Model__MergeGateway__GLM__5__Turbo ModelID = "zai/glm-5-turbo" Model__MergeGateway__GPT__4_1 ModelID = "openai/gpt-4.1" Model__MergeGateway__GPT__4__1__Mini__4_1 ModelID = "openai/gpt-4.1-mini" Model__MergeGateway__GPT__4__1__Nano__4_1 ModelID = "openai/gpt-4.1-nano" Model__MergeGateway__GPT__4o ModelID = "openai/gpt-4o" Model__MergeGateway__GPT__4o__20240513 ModelID = "openai/gpt-4o-2024-05-13" Model__MergeGateway__GPT__4o__20240806 ModelID = "openai/gpt-4o-2024-08-06" Model__MergeGateway__GPT__4o__20241120 ModelID = "openai/gpt-4o-2024-11-20" Model__MergeGateway__GPT__4o__Mini ModelID = "openai/gpt-4o-mini" Model__MergeGateway__GPT__5 ModelID = "openai/gpt-5" Model__MergeGateway__GPT__5_1 ModelID = "openai/gpt-5.1" Model__MergeGateway__GPT__5_1__ChatLatest ModelID = "openai/gpt-5.1-chat-latest" Model__MergeGateway__GPT__5_2 ModelID = "openai/gpt-5.2" Model__MergeGateway__GPT__5_2__ChatLatest ModelID = "openai/gpt-5.2-chat-latest" Model__MergeGateway__GPT__5_3__ChatLatest ModelID = "openai/gpt-5.3-chat-latest" Model__MergeGateway__GPT__5_4 ModelID = "openai/gpt-5.4" Model__MergeGateway__GPT__5_5 ModelID = "openai/gpt-5.5" Model__MergeGateway__GPT__5__4__Mini__5_4 ModelID = "openai/gpt-5.4-mini" Model__MergeGateway__GPT__5__4__Nano__5_4 ModelID = "openai/gpt-5.4-nano" Model__MergeGateway__GPT__5__ChatLatest ModelID = "openai/gpt-5-chat-latest" Model__MergeGateway__GPT__5__Mini__5 ModelID = "openai/gpt-5-mini" Model__MergeGateway__GPT__5__Nano__5 ModelID = "openai/gpt-5-nano" Model__MergeGateway__Gemini__2__5__Flash__2_5 ModelID = "google/gemini-2.5-flash" Model__MergeGateway__Gemini__2__5__Flash__Lite__2_5 ModelID = 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Model__MergeGateway__Gemma__4__26b__A4b__It__4 ModelID = "google/gemma-4-26b-a4b-it" Model__MergeGateway__Gemma__4__31b__It__4 ModelID = "google/gemma-4-31b-it" Model__MergeGateway__Grok__4_3 ModelID = "xai/grok-4.3" Model__MergeGateway__Grok__4__20__0309__4_20__Reasoning ModelID = "xai/grok-4.20-0309-reasoning" Model__MergeGateway__Magistral__Medium__Latest ModelID = "mistral/magistral-medium-latest" Model__MergeGateway__MiniMax__M2__1__2_1 ModelID = "minimax/minimax-m2.1" Model__MergeGateway__MiniMax__M2__2 ModelID = "minimax/minimax-m2" Model__MergeGateway__MiniMax__M2__5__2_5 ModelID = "minimax/minimax-m2.5" Model__MergeGateway__MiniMax__M2__5__2_5__Highspeed ModelID = "minimax/minimax-m2.5-highspeed" Model__MergeGateway__MiniMax__M2__7__2_7 ModelID = "minimax/minimax-m2.7" Model__MergeGateway__MiniMax__M2__7__2_7__Highspeed ModelID = "minimax/minimax-m2.7-highspeed" Model__MergeGateway__Mistral__Large__2411 ModelID = "mistral/mistral-large-2411" Model__MergeGateway__Mistral__Large__2512 ModelID = "mistral/mistral-large-2512" Model__MergeGateway__Mistral__Large__Latest ModelID = "mistral/mistral-large-latest" Model__MergeGateway__Mistral__Medium__2505 ModelID = "mistral/mistral-medium-2505" Model__MergeGateway__Mistral__Medium__Latest ModelID = "mistral/mistral-medium-latest" Model__MergeGateway__Mistral__Small__Latest ModelID = "mistral/mistral-small-latest" Model__MergeGateway__O1__1 ModelID = "openai/o1" Model__MergeGateway__O3__3 ModelID = "openai/o3" Model__MergeGateway__O3__3__Mini ModelID = "openai/o3-mini" Model__MergeGateway__O4__4__Mini ModelID = "openai/o4-mini" Model__MergeGateway__Pixtral__Large__Latest ModelID = "mistral/pixtral-large-latest" Model__MiniMaxCNCodingPlan__MiniMax__M2__1__2_1 ModelID = "MiniMax-M2.1" Model__MiniMaxCNCodingPlan__MiniMax__M2__2 ModelID = "MiniMax-M2" Model__MiniMaxCNCodingPlan__MiniMax__M2__5__2_5 ModelID = "MiniMax-M2.5" Model__MiniMaxCNCodingPlan__MiniMax__M2__5__2_5__Highspeed 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Model__MiniMaxCodingPlan__MiniMax__M2__7__2_7__Highspeed ModelID = "MiniMax-M2.7-highspeed" Model__MiniMax__MiniMax__M2__1__2_1 ModelID = "MiniMax-M2.1" Model__MiniMax__MiniMax__M2__2 ModelID = "MiniMax-M2" Model__MiniMax__MiniMax__M2__5__2_5 ModelID = "MiniMax-M2.5" Model__MiniMax__MiniMax__M2__5__2_5__Highspeed ModelID = "MiniMax-M2.5-highspeed" Model__MiniMax__MiniMax__M2__7__2_7 ModelID = "MiniMax-M2.7" Model__MiniMax__MiniMax__M2__7__2_7__Highspeed ModelID = "MiniMax-M2.7-highspeed" Model__Mistral__Codestral__Latest ModelID = "codestral-latest" Model__Mistral__Devstral__2512 ModelID = "devstral-2512" Model__Mistral__Devstral__Medium__2507 ModelID = "devstral-medium-2507" Model__Mistral__Devstral__Medium__Latest ModelID = "devstral-medium-latest" Model__Mistral__Devstral__Small__2505 ModelID = "devstral-small-2505" Model__Mistral__Devstral__Small__2507 ModelID = "devstral-small-2507" Model__Mistral__Labs__Devstral__Small__2512 ModelID = "labs-devstral-small-2512" Model__Mistral__Magistral__Medium__Latest ModelID = "magistral-medium-latest" Model__Mistral__Magistral__Small ModelID = "magistral-small" Model__Mistral__Ministral__3b__Latest ModelID = "ministral-3b-latest" Model__Mistral__Ministral__8b__Latest ModelID = "ministral-8b-latest" Model__Mistral__Mistral__Embed ModelID = "mistral-embed" Model__Mistral__Mistral__Large__2411 ModelID = "mistral-large-2411" Model__Mistral__Mistral__Large__2512 ModelID = "mistral-large-2512" Model__Mistral__Mistral__Large__Latest ModelID = "mistral-large-latest" Model__Mistral__Mistral__Medium__2505 ModelID = "mistral-medium-2505" Model__Mistral__Mistral__Medium__2508 ModelID = "mistral-medium-2508" Model__Mistral__Mistral__Medium__2604 ModelID = "mistral-medium-2604" Model__Mistral__Mistral__Medium__Latest ModelID = "mistral-medium-latest" Model__Mistral__Mistral__Nemo ModelID = "mistral-nemo" Model__Mistral__Mistral__Small__2506 ModelID = "mistral-small-2506" Model__Mistral__Mistral__Small__2603 ModelID = 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Model__NanoGPT__K2__2__ThinkingThink ModelID = "LLM360/K2-Think" Model__NanoGPT__Kat__Coder__Air__V1 ModelID = "KAT-Coder-Air-V1" Model__NanoGPT__Kat__Coder__Exp__72B__1010 ModelID = "KAT-Coder-Exp-72B-1010" Model__NanoGPT__Kat__Coder__Pro__V1 ModelID = "KAT-Coder-Pro-V1" Model__NanoGPT__Kimi__Dev__72B ModelID = "moonshotai/Kimi-Dev-72B" Model__NanoGPT__Kimi__K2__2__FastInstruct ModelID = "kimi-k2-instruct-fast" Model__NanoGPT__Kimi__K2__2__Instruct ModelID = "moonshotai/kimi-k2-instruct" Model__NanoGPT__Kimi__K2__2__ThinkingOriginal ModelID = "moonshotai/kimi-k2-thinking-original" Model__NanoGPT__Kimi__K2__2__ThinkingTurboOriginal ModelID = "moonshotai/kimi-k2-thinking-turbo-original" Model__NanoGPT__Kimi__K2__2__Thinking_1 ModelID = "TEE/kimi-k2-thinking" Model__NanoGPT__Kimi__K2__2__Thinking_2 ModelID = "moonshotai/kimi-k2-thinking" Model__NanoGPT__Kimi__K2__5__2_5_1 ModelID = "TEE/kimi-k2.5" Model__NanoGPT__Kimi__K2__5__2_5_2 ModelID = "moonshotai/kimi-k2.5" Model__NanoGPT__Kimi__K2__5__2_5__Thinking ModelID = "TEE/kimi-k2.5-thinking" Model__NanoGPT__Kimi__K2__5__Thinking__2_5__Thinking ModelID = "moonshotai/kimi-k2.5:thinking" Model__NanoGPT__Kimi__K2__6__2_6 ModelID = "moonshotai/kimi-k2.6" Model__NanoGPT__Kimi__K2__6__Thinking__2_6__Thinking ModelID = "moonshotai/kimi-k2.6:thinking" Model__NanoGPT__Kimi__K2__Instruct__0711__2__Instruct ModelID = "moonshotai/kimi-k2-instruct-0711" Model__NanoGPT__Kimi__K2__Instruct__0905__2__Instruct ModelID = "moonshotai/Kimi-K2-Instruct-0905" Model__NanoGPT__Kimi__K2__Instruct__Fp4__2__Instruct ModelID = "baseten/Kimi-K2-Instruct-FP4" Model__NanoGPT__Kimi__ThinkingPreview ModelID = "kimi-thinking-preview" Model__NanoGPT__L3__1__70B__Celeste__V0__1__Bf16 ModelID = "nothingiisreal/L3.1-70B-Celeste-V0.1-BF16" Model__NanoGPT__L3__1__70B__Euryale__V2__2 ModelID = "Sao10K/L3.1-70B-Euryale-v2.2" Model__NanoGPT__L3__1__70B__Hanami__X1 ModelID = "Sao10K/L3.1-70B-Hanami-x1" Model__NanoGPT__L3__3__70B__Euryale__V2__3 ModelID = "Sao10K/L3.3-70B-Euryale-v2.3" Model__NanoGPT__L3__3__70B__Loki__V2__0 ModelID = "CrucibleLab/L3.3-70B-Loki-V2.0" Model__NanoGPT__L3__3__Cu__Mai__R1__70b ModelID = "Steelskull/L3.3-Cu-Mai-R1-70b" Model__NanoGPT__L3__3__Electra__R1__70b ModelID = "Steelskull/L3.3-Electra-R1-70b" Model__NanoGPT__L3__3__Ms__Evalebis__70b ModelID = "Steelskull/L3.3-MS-Evalebis-70b" Model__NanoGPT__L3__3__Ms__Evayale__70B ModelID = "Steelskull/L3.3-MS-Evayale-70B" Model__NanoGPT__L3__3__Ms__Nevoria__70b ModelID = "Steelskull/L3.3-MS-Nevoria-70b" Model__NanoGPT__L3__3__Nevoria__R1__70b ModelID = "Steelskull/L3.3-Nevoria-R1-70b" Model__NanoGPT__L3__8B__Stheno__V3__2 ModelID = "Sao10K/L3-8B-Stheno-v3.2" Model__NanoGPT__Learnlm__1__5__Pro__Experimental__1_5 ModelID = "learnlm-1.5-pro-experimental" Model__NanoGPT__Llama3__3__70b ModelID = "TEE/llama3-3-70b" Model__NanoGPT__Llama__3__05__Nemotron__Tenyxchat__Storybreaker__70B ModelID = 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"Llama-3.3-70B-GeneticLemonade-Opus" Model__NanoGPT__Llama__3__3__70B__Geneticlemonade__Unleashed__V3__3_3 ModelID = "Llama-3.3-70B-GeneticLemonade-Unleashed-v3" Model__NanoGPT__Llama__3__3__70B__Ignition__V0__1__3_3 ModelID = "Llama-3.3-70B-Ignition-v0.1" Model__NanoGPT__Llama__3__3__70B__Incandescent__Malevolence__3_3 ModelID = "Llama-3.3-70B-Incandescent-Malevolence" Model__NanoGPT__Llama__3__3__70B__Instruct__Abliterated__3_3__Instruct ModelID = "huihui-ai/Llama-3.3-70B-Instruct-abliterated" Model__NanoGPT__Llama__3__3__70B__Legion__V2__1__3_3 ModelID = "Llama-3.3-70B-Legion-V2.1" Model__NanoGPT__Llama__3__3__70B__Magnum__V4__Se__3_3 ModelID = "Llama-3.3-70B-Magnum-v4-SE" Model__NanoGPT__Llama__3__3__70B__Magnum__V4__Se__Cirrus__X1__Slerp__3_3 ModelID = "Llama-3.3-70B-Magnum-v4-SE-Cirrus-x1-SLERP" Model__NanoGPT__Llama__3__3__70B__Mhnnn__X1__3_3 ModelID = "Llama-3.3-70B-Mhnnn-x1" Model__NanoGPT__Llama__3__3__70B__Miraifanfare__3_3 ModelID = "Llama-3.3-70B-MiraiFanfare" Model__NanoGPT__Llama__3__3__70B__Mokume__Gane__R1__3_3 ModelID = "Llama-3.3-70B-Mokume-Gane-R1" Model__NanoGPT__Llama__3__3__70B__Ms__Nevoria__3_3 ModelID = "Llama-3.3-70B-MS-Nevoria" Model__NanoGPT__Llama__3__3__70B__Nova__3_3 ModelID = "Llama-3.3-70B-Nova" Model__NanoGPT__Llama__3__3__70B__Predatorial__Extasy__3_3 ModelID = "Llama-3.3-70B-Predatorial-Extasy" Model__NanoGPT__Llama__3__3__70B__Progenitor__V3__3__3_3 ModelID = "Llama-3.3-70B-Progenitor-V3.3" Model__NanoGPT__Llama__3__3__70B__Rawmaw__3_3 ModelID = "Llama-3.3-70B-RAWMAW" Model__NanoGPT__Llama__3__3__70B__Sapphira__0_1 ModelID = "Llama-3.3-70B-Sapphira-0.1" Model__NanoGPT__Llama__3__3__70B__Sapphira__0_2 ModelID = "Llama-3.3-70B-Sapphira-0.2" Model__NanoGPT__Llama__3__3__70B__Shakudo__3_3 ModelID = "Llama-3.3-70B-Shakudo" Model__NanoGPT__Llama__3__3__70B__Strawberrylemonade__V1__0__3_3 ModelID = "Llama-3.3-70B-StrawberryLemonade-v1.0" Model__NanoGPT__Llama__3__3__70B__Strawberrylemonade__V1__2__3_3 ModelID = "Llama-3.3-70B-Strawberrylemonade-v1.2" Model__NanoGPT__Llama__3__3__70B__The__Omega__Directive__Unslop__V2__0__3_3 ModelID = "Llama-3.3-70B-The-Omega-Directive-Unslop-v2.0" Model__NanoGPT__Llama__3__3__70B__The__Omega__Directive__Unslop__V2__1__3_3 ModelID = "Llama-3.3-70B-The-Omega-Directive-Unslop-v2.1" Model__NanoGPT__Llama__3__3__70B__Vulpecula__R1__3_3 ModelID = "Llama-3.3-70B-Vulpecula-R1" Model__NanoGPT__Llama__3__3__70b__3_3__Instruct ModelID = "meta-llama/llama-3.3-70b-instruct" Model__NanoGPT__Llama__3__3__Nemotron__Super__49B__V1 ModelID = "nvidia/Llama-3.3-Nemotron-Super-49B-v1" Model__NanoGPT__Llama__3__3__Nemotron__Super__49B__V1__5 ModelID = "nvidia/Llama-3_3-Nemotron-Super-49B-v1_5" Model__NanoGPT__Llama__3__Lumimaid__70B__V0__1__3 ModelID = "NeverSleep/Llama-3-Lumimaid-70B-v0.1" Model__NanoGPT__Llama__4__Maverick__4 ModelID = "meta-llama/llama-4-maverick" Model__NanoGPT__Llama__4__Scout__4 ModelID = "meta-llama/llama-4-scout" Model__NanoGPT__Llama__Xlam__2__70b__Fc__R__2 ModelID = "Salesforce/Llama-xLAM-2-70b-fc-r" Model__NanoGPT__Longcat__Flash__Chat__Fp8__Chat ModelID = "meituan-longcat/LongCat-Flash-Chat-FP8" Model__NanoGPT__Lumimaid__V0__2__70B ModelID = "NeverSleep/Lumimaid-v0.2-70B" Model__NanoGPT__Magidonia__24B__V4__3 ModelID = "TheDrummer 2/Magidonia-24B-v4.3" Model__NanoGPT__Magistral__Small__2506 ModelID = "Magistral-Small-2506" Model__NanoGPT__Magnum__V2__72b ModelID = "anthracite-org/magnum-v2-72b" Model__NanoGPT__Magnum__V4__72b ModelID = "anthracite-org/magnum-v4-72b" Model__NanoGPT__Mai__Ds__R1__Fp8 ModelID = "microsoft/MAI-DS-R1-FP8" Model__NanoGPT__Manta__Flash__1__0 ModelID = "meganova-ai/manta-flash-1.0" Model__NanoGPT__Manta__Mini__1__0 ModelID = "meganova-ai/manta-mini-1.0" Model__NanoGPT__Manta__Pro__1__0 ModelID = "meganova-ai/manta-pro-1.0" Model__NanoGPT__Meta__Llama__3__1__8B__Instruct__Fp8__3_1__Instruct ModelID = "Meta-Llama-3-1-8B-Instruct-FP8" Model__NanoGPT__Meta__Llama__3__70B__Instruct__Abliterated__V3__5__3__Instruct ModelID = "failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5" Model__NanoGPT__Mimo__V2__Flash ModelID = "xiaomi/mimo-v2-flash" Model__NanoGPT__Mimo__V2__Flash__Original ModelID = "xiaomi/mimo-v2-flash-original" Model__NanoGPT__Mimo__V2__Flash__Thinking ModelID = "xiaomi/mimo-v2-flash-thinking" Model__NanoGPT__Mimo__V2__Flash__ThinkingOriginal ModelID = "xiaomi/mimo-v2-flash-thinking-original" Model__NanoGPT__MiniMax__01 ModelID = "minimax/minimax-01" Model__NanoGPT__MiniMax__M1__1 ModelID = "MiniMax-M1" Model__NanoGPT__MiniMax__M1__80k__1 ModelID = "MiniMaxAI/MiniMax-M1-80k" Model__NanoGPT__MiniMax__M2__1__2_1_1 ModelID = "TEE/minimax-m2.1" Model__NanoGPT__MiniMax__M2__1__2_1_2 ModelID = "minimax/minimax-m2.1" Model__NanoGPT__MiniMax__M2__2 ModelID = "MiniMax-M2" Model__NanoGPT__MiniMax__M2__5__2_5 ModelID = "minimax/minimax-m2.5" Model__NanoGPT__MiniMax__M2__7__2_7 ModelID = "minimax/minimax-m2.7" Model__NanoGPT__MiniMax__M2__Her ModelID = "minimax/minimax-m2-her" Model__NanoGPT__Ministral__14b__2512 ModelID = "mistralai/ministral-14b-2512" Model__NanoGPT__Ministral__14b__Instruct__2512__Instruct ModelID = "mistralai/ministral-14b-instruct-2512" Model__NanoGPT__Ministral__3b__2512 ModelID = "mistralai/ministral-3b-2512" Model__NanoGPT__Ministral__8b__2512 ModelID = "mistralai/ministral-8b-2512" Model__NanoGPT__Mirothinker__V1__5__235b ModelID = "miromind-ai/mirothinker-v1.5-235b" Model__NanoGPT__Mistral__7b__Instruct ModelID = "mistralai/mistral-7b-instruct" Model__NanoGPT__Mistral__Large ModelID = "mistralai/mistral-large" Model__NanoGPT__Mistral__Large__3__675b__Instruct__2512__3__Instruct ModelID = "mistralai/mistral-large-3-675b-instruct-2512" Model__NanoGPT__Mistral__Medium__3 ModelID = "mistralai/mistral-medium-3" Model__NanoGPT__Mistral__Medium__3_1 ModelID = "mistralai/mistral-medium-3.1" Model__NanoGPT__Mistral__Nemo__12B__Instruct__2407__Instruct ModelID = "Mistral-Nemo-12B-Instruct-2407" Model__NanoGPT__Mistral__Nemo__Instruct__2407__Instruct ModelID = "mistralai/Mistral-Nemo-Instruct-2407" Model__NanoGPT__Mistral__Saba ModelID = "mistralai/mistral-saba" Model__NanoGPT__Mistral__Small__31__24b__31__Instruct ModelID = "mistral-small-31-24b-instruct" Model__NanoGPT__Mistral__Small__3__2__24B__Instruct__2506__Instruct ModelID = "chutesai/Mistral-Small-3.2-24B-Instruct-2506" Model__NanoGPT__Mistral__Small__Creative ModelID = "mistralai/mistral-small-creative" Model__NanoGPT__Mistral__Tiny ModelID = "mistralai/mistral-tiny" Model__NanoGPT__Mixtral__8x22b__Instruct__V0__1__0_1__Instruct ModelID = "mistralai/mixtral-8x22b-instruct-v0.1" Model__NanoGPT__Mixtral__8x7b__Instruct__V0__1__0_1__Instruct ModelID = "mistralai/mixtral-8x7b-instruct-v0.1" Model__NanoGPT__Mn__12B__Inferor__V0__0 ModelID = "Infermatic/MN-12B-Inferor-v0.0" Model__NanoGPT__Mn__12B__Mag__Mell__R1 ModelID = "inflatebot/MN-12B-Mag-Mell-R1" Model__NanoGPT__Mn__Loosecannon__12B__V1 ModelID = "GalrionSoftworks/MN-LooseCannon-12B-v1" Model__NanoGPT__Molmo__2__8b ModelID = "allenai/molmo-2-8b" Model__NanoGPT__Ms3__2__24B__Magnum__Diamond ModelID = "Doctor-Shotgun/MS3.2-24B-Magnum-Diamond" Model__NanoGPT__Ms3__2__The__Omega__Directive__24B__Unslop__V2__0 ModelID = "ReadyArt/MS3.2-The-Omega-Directive-24B-Unslop-v2.0" Model__NanoGPT__Mythomax__L2__13b ModelID = "Gryphe/MythoMax-L2-13b" Model__NanoGPT__Nemomix__Unleashed__12B ModelID = "MarinaraSpaghetti/NemoMix-Unleashed-12B" Model__NanoGPT__Nemotron__3__Nano__30b__A3b__3 ModelID = "nvidia/nemotron-3-nano-30b-a3b" Model__NanoGPT__Neuraldaredevil__8B__Abliterated ModelID = "mlabonne/NeuralDaredevil-8B-abliterated" Model__NanoGPT__Nova__2__Lite__V1__2 ModelID = "amazon/nova-2-lite-v1" Model__NanoGPT__Nova__Lite__V1 ModelID = "amazon/nova-lite-v1" Model__NanoGPT__Nova__Micro__V1 ModelID = "amazon/nova-micro-v1" Model__NanoGPT__Nova__Pro__V1 ModelID = "amazon/nova-pro-v1" Model__NanoGPT__Nvidia__Nemotron__Nano__9b__V2 ModelID = "nvidia/nvidia-nemotron-nano-9b-v2" Model__NanoGPT__O1__1 ModelID = "openai/o1" Model__NanoGPT__O1__1__Preview ModelID = "openai/o1-preview" Model__NanoGPT__O1__1__Pro ModelID = "openai/o1-pro" Model__NanoGPT__O3__3 ModelID = "openai/o3" Model__NanoGPT__O3__3__Mini ModelID = "openai/o3-mini" Model__NanoGPT__O3__Deep__Research__3__Deep_Research ModelID = "openai/o3-deep-research" Model__NanoGPT__O3__Mini__High__3__Mini ModelID = "openai/o3-mini-high" Model__NanoGPT__O3__Mini__Low__3__Mini ModelID = "openai/o3-mini-low" Model__NanoGPT__O3__Pro__3__Pro__20250610 ModelID = "openai/o3-pro-2025-06-10" Model__NanoGPT__O4__4__Mini ModelID = "openai/o4-mini" Model__NanoGPT__O4__Mini__Deep__Research__4__Mini ModelID = "openai/o4-mini-deep-research" Model__NanoGPT__O4__Mini__High__4__Mini ModelID = "openai/o4-mini-high" Model__NanoGPT__OLMo__3__1__32b__3_1__Instruct ModelID = "allenai/olmo-3.1-32b-instruct" Model__NanoGPT__OLMo__3__1__32b__3_1__Think ModelID = "allenai/olmo-3.1-32b-think" Model__NanoGPT__OLMo__3__32b__3__Think ModelID = "allenai/olmo-3-32b-think" Model__NanoGPT__Openreasoning__Nemotron__32B ModelID = "pamanseau/OpenReasoning-Nemotron-32B" Model__NanoGPT__Phi__4__Mini__4__Instruct ModelID = "phi-4-mini-instruct" Model__NanoGPT__Phi__4__MultimodalInstruct ModelID = "phi-4-multimodal-instruct" Model__NanoGPT__Qvq__Max ModelID = "qvq-max" Model__NanoGPT__Qwen25__Vl__72b__25__Instruct ModelID = "qwen25-vl-72b-instruct" Model__NanoGPT__Qwen2__5__32B__Eva__V0__2 ModelID = "Qwen2.5-32B-EVA-v0.2" Model__NanoGPT__Qwen2__5__32B__Instruct__Abliterated__2_5__Instruct ModelID = "huihui-ai/Qwen2.5-32B-Instruct-abliterated" Model__NanoGPT__Qwen2__5__Vl__72b__2_5__Instruct ModelID = "TEE/qwen2.5-vl-72b-instruct" Model__NanoGPT__Qwen3__30b__A3b__Instruct__2507__3__Instruct_1 ModelID = "TEE/qwen3-30b-a3b-instruct-2507" Model__NanoGPT__Qwen3__30b__A3b__Instruct__2507__3__Instruct_2 ModelID = "qwen3-30b-a3b-instruct-2507" Model__NanoGPT__Qwen3__5__397b__A17b__3_5_1 ModelID = "TEE/qwen3.5-397b-a17b" Model__NanoGPT__Qwen3__5__397b__A17b__3_5_2 ModelID = "qwen/qwen3.5-397b-a17b" Model__NanoGPT__Qwen3__6__35B__A3b__3_6 ModelID = "qwen/Qwen3.6-35B-A3B" Model__NanoGPT__Qwen3__6__35B__A3b__Thinking__3_6 ModelID = "qwen/Qwen3.6-35B-A3B:thinking" Model__NanoGPT__Qwen3__6__Flash__3_6 ModelID = "alibaba/qwen3.6-flash" Model__NanoGPT__Qwen3__6__Max__3_6__Preview ModelID = "qwen3.6-max-preview" Model__NanoGPT__Qwen3__Coder__3 ModelID = "TEE/qwen3-coder" Model__NanoGPT__Qwen3__Coder__30b__A3b__3__Instruct ModelID = "qwen3-coder-30b-a3b-instruct" Model__NanoGPT__Qwen3__Max__3__20260123 ModelID = "qwen3-max-2026-01-23" Model__NanoGPT__Qwen3__Vl__235b__A22b__3__InstructOriginal ModelID = "qwen3-vl-235b-a22b-instruct-original" Model__NanoGPT__Qwen3__Vl__235b__A22b__3__Thinking ModelID = "qwen3-vl-235b-a22b-thinking" Model__NanoGPT__Qwen__3__6__Plus__3_6 ModelID = "qwen-3.6-plus" Model__NanoGPT__Qwen__Image ModelID = "qwen-image" Model__NanoGPT__Qwen__Long ModelID = "qwen-long" Model__NanoGPT__Qwen__Max ModelID = "qwen-max" Model__NanoGPT__Qwen__Plus ModelID = "qwen-plus" Model__NanoGPT__Qwen__Turbo ModelID = "qwen-turbo" Model__NanoGPT__Qwenlong__L1__32B ModelID = "Tongyi-Zhiwen/QwenLong-L1-32B" Model__NanoGPT__Qwerky__72B ModelID = "featherless-ai/Qwerky-72B" Model__NanoGPT__Qwq__32B__Arliai__Rpr__V1 ModelID = "QwQ-32B-ArliAI-RpR-v1" Model__NanoGPT__Qwq__32b ModelID = "qwq-32b" Model__NanoGPT__Remm__Slerp__L2__13b ModelID = "undi95/remm-slerp-l2-13b" Model__NanoGPT__Rnj__1__Instruct ModelID = "essentialai/rnj-1-instruct" Model__NanoGPT__Rocinante__12B__V1__1 ModelID = "TheDrummer 2/Rocinante-12B-v1.1" Model__NanoGPT__Sarvan__Medium ModelID = "sarvan-medium" Model__NanoGPT__Shisa__V2__1__Llama3__3__70b ModelID = "shisa-ai/shisa-v2.1-llama3.3-70b" Model__NanoGPT__Shisa__V2__Llama3__3__70b ModelID = "shisa-ai/shisa-v2-llama3.3-70b" Model__NanoGPT__Skyfall__36b__V2 ModelID = "TheDrummer 2/skyfall-36b-v2" Model__NanoGPT__Sonar ModelID = "sonar" Model__NanoGPT__Sonar__Deep__Research ModelID = "sonar-deep-research" Model__NanoGPT__Sonar__Pro ModelID = "sonar-pro" Model__NanoGPT__Sonar__Reasoning__Pro ModelID = "sonar-reasoning-pro" Model__NanoGPT__Sorcererlm__8x22b ModelID = "raifle/sorcererlm-8x22b" Model__NanoGPT__Starcannon__Unleashed__12B__V1__0 ModelID = "VongolaChouko/Starcannon-Unleashed-12B-v1.0" Model__NanoGPT__Step__2__16k__Exp__2 ModelID = "step-2-16k-exp" Model__NanoGPT__Step__2__Mini__2 ModelID = "step-2-mini" Model__NanoGPT__Step__3 ModelID = "step-3" Model__NanoGPT__Step__3__5__Flash__3_5 ModelID = "stepfun-ai/step-3.5-flash" Model__NanoGPT__Step__3__5__Flash__Thinking__3_5 ModelID = "stepfun-ai/step-3.5-flash:thinking" Model__NanoGPT__Step__R1__V__Mini ModelID = "step-r1-v-mini" Model__NanoGPT__Study__GPT__ChatGPT__4o__Latest ModelID = "study_gpt-chatgpt-4o-latest" Model__NanoGPT__The__Omega__Abomination__L__70B__V1__0 ModelID = "ReadyArt/The-Omega-Abomination-L-70B-v1.0" Model__NanoGPT__Tng__R1t__Chimera ModelID = "tngtech/tng-r1t-chimera" Model__NanoGPT__Tongyi__Deepresearch__30B__A3b ModelID = "Alibaba-NLP/Tongyi-DeepResearch-30B-A3B" Model__NanoGPT__Trinity__Large ModelID = "arcee-ai/trinity-large" Model__NanoGPT__Trinity__Mini ModelID = "arcee-ai/trinity-mini" Model__NanoGPT__Universal__Summarizer ModelID = "universal-summarizer" Model__NanoGPT__Unslopnemo__12B__V4__1 ModelID = "TheDrummer 2/UnslopNemo-12B-v4.1" Model__NanoGPT__V0__1__0__Md__1_0 ModelID = "v0-1.0-md" Model__NanoGPT__V0__1__5__Lg__1_5 ModelID = "v0-1.5-lg" Model__NanoGPT__V0__1__5__Md__1_5 ModelID = "v0-1.5-md" Model__NanoGPT__Veiled__Calla__12B ModelID = "soob3123/Veiled-Calla-12B" Model__NanoGPT__Venice__Uncensored ModelID = "venice-uncensored" Model__NanoGPT__Venice__Uncensored__Web ModelID = "venice-uncensored:web" Model__NanoGPT__Wayfarer__Large__70B__Llama__3__3 ModelID = "LatitudeGames/Wayfarer-Large-70B-Llama-3.3" Model__NanoGPT__WizardLM__2__8x22b__2 ModelID = "microsoft/wizardlm-2-8x22b" Model__NanoGPT__Yi__Large ModelID = "yi-large" Model__NanoGPT__Yi__Lightning ModelID = "yi-lightning" Model__NanoGPT__Yi__Medium__200k ModelID = "yi-medium-200k" Model__NanoGPT__Z__Image__Turbo ModelID = "z-image-turbo" Model__NearAI__Claude__Haiku__4_5 ModelID = "anthropic/claude-haiku-4-5" Model__NearAI__Claude__Opus__4_6 ModelID = "anthropic/claude-opus-4-6" Model__NearAI__Claude__Opus__4_7 ModelID = "anthropic/claude-opus-4-7" Model__NearAI__Claude__Sonnet__4_5 ModelID = "anthropic/claude-sonnet-4-5" Model__NearAI__Claude__Sonnet__4_6 ModelID = "anthropic/claude-sonnet-4-6" Model__NearAI__Flux__2__Klein__4B ModelID = "black-forest-labs/FLUX.2-klein-4B" Model__NearAI__GLM__5__1__Fp8__5_1 ModelID = "zai-org/GLM-5.1-FP8" Model__NearAI__GPT__4_1 ModelID = "openai/gpt-4.1" Model__NearAI__GPT__4__1__Mini__4_1 ModelID = "openai/gpt-4.1-mini" 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Model__Nvidia__Llama__3__2__1b__3_2__Instruct ModelID = "meta/llama-3.2-1b-instruct" Model__Nvidia__Llama__3__2__3b__3_2__Instruct ModelID = "meta/llama-3.2-3b-instruct" Model__Nvidia__Llama__3__2__90b__3_2__VisionInstruct ModelID = "meta/llama-3.2-90b-vision-instruct" Model__Nvidia__Llama__3__2__Nemoretriever__300m__Embed__V1 ModelID = "nvidia/llama-3_2-nemoretriever-300m-embed-v1" Model__Nvidia__Llama__3__3__70b__3_3__Instruct ModelID = "meta/llama-3.3-70b-instruct" Model__Nvidia__Llama__3__3__Nemotron__Super__49b__V1 ModelID = "nvidia/llama-3_3-nemotron-super-49b-v1" Model__Nvidia__Llama__3__3__Nemotron__Super__49b__V1__5 ModelID = "nvidia/llama-3_3-nemotron-super-49b-v1_5" Model__Nvidia__Llama__4__Maverick__17b__128e__4__Instruct ModelID = "meta/llama-4-maverick-17b-128e-instruct" Model__Nvidia__Llama__Guard__4__12b__4 ModelID = "meta/llama-guard-4-12b" Model__Nvidia__Llama__Nemotron__Embed__Vl__1b__V2 ModelID = "nvidia/llama-nemotron-embed-vl-1b-v2" Model__Nvidia__Llama__Nemotron__Rerank__Vl__1b__V2 ModelID = "nvidia/llama-nemotron-rerank-vl-1b-v2" Model__Nvidia__Magistral__Small__2506 ModelID = "mistralai/magistral-small-2506" Model__Nvidia__Magpie__Tts__Zeroshot ModelID = "nvidia/magpie-tts-zeroshot" Model__Nvidia__MiniMax__M2__5__2_5 ModelID = "minimaxai/minimax-m2.5" Model__Nvidia__MiniMax__M2__7__2_7 ModelID = "minimaxai/minimax-m2.7" Model__Nvidia__Mistral__7b__Instruct__V03__Instruct ModelID = "mistralai/mistral-7b-instruct-v03" Model__Nvidia__Mistral__Large__3__675b__Instruct__2512__3__Instruct ModelID = "mistralai/mistral-large-3-675b-instruct-2512" Model__Nvidia__Mistral__Medium__3__Instruct ModelID = "mistralai/mistral-medium-3-instruct" Model__Nvidia__Mistral__Nemotron ModelID = "mistralai/mistral-nemotron" Model__Nvidia__Mistral__Small__4__119b__2603__4 ModelID = "mistralai/mistral-small-4-119b-2603" Model__Nvidia__Mixtral__8x22b__Instruct ModelID = "mistralai/mixtral-8x22b-instruct" Model__Nvidia__Mixtral__8x7b__Instruct ModelID = "mistralai/mixtral-8x7b-instruct" Model__Nvidia__Nemotron__3__Content__Safety__3 ModelID = "nvidia/nemotron-3-content-safety" Model__Nvidia__Nemotron__3__Nano__30b__A3b__3 ModelID = "nvidia/nemotron-3-nano-30b-a3b" Model__Nvidia__Nemotron__3__Nano__Omni__30b__A3b__3__Reasoning ModelID = "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning" Model__Nvidia__Nemotron__3__Super__120b__A12b__3 ModelID = "nvidia/nemotron-3-super-120b-a12b" Model__Nvidia__Nemotron__Content__Safety__Reasoning__4b__Reasoning ModelID = "nvidia/nemotron-content-safety-reasoning-4b" Model__Nvidia__Nemotron__Mini__4b__Instruct ModelID = "nvidia/nemotron-mini-4b-instruct" Model__Nvidia__Nemotron__Voicechat ModelID = "nvidia/nemotron-voicechat" Model__Nvidia__Nv__Embed__V1 ModelID = "nvidia/nv-embed-v1" Model__Nvidia__Nv__Embedcode__7b__V1 ModelID = "nvidia/nv-embedcode-7b-v1" Model__Nvidia__Nvidia__Nemotron__Nano__9b__V2 ModelID = "nvidia/nvidia-nemotron-nano-9b-v2" Model__Nvidia__Phi__4__Mini__4__Instruct ModelID = "microsoft/phi-4-mini-instruct" Model__Nvidia__Phi__4__MultimodalInstruct ModelID = "microsoft/phi-4-multimodal-instruct" Model__Nvidia__Qwen2__5__Coder__32b__2_5__Instruct ModelID = "qwen/qwen2.5-coder-32b-instruct" Model__Nvidia__Qwen3__5__122b__A10b__3_5 ModelID = "qwen/qwen3.5-122b-a10b" Model__Nvidia__Qwen3__5__397b__A17b__3_5 ModelID = "qwen/qwen3.5-397b-a17b" Model__Nvidia__Qwen3__Coder__480b__A35b__3__Instruct ModelID = "qwen/qwen3-coder-480b-a35b-instruct" Model__Nvidia__Qwen3__Next__80b__A3b__3__Instruct ModelID = "qwen/qwen3-next-80b-a3b-instruct" Model__Nvidia__Qwen3__Next__80b__A3b__3__Thinking ModelID = "qwen/qwen3-next-80b-a3b-thinking" Model__Nvidia__Qwen__Image ModelID = "qwen/qwen-image" Model__Nvidia__Qwen__Image__Edit ModelID = "qwen/qwen-image-edit" Model__Nvidia__Rerank__Qa__Mistral__4b ModelID = "nvidia/rerank-qa-mistral-4b" Model__Nvidia__Riva__Translate__4b__Instruct__V1__1__Instruct ModelID = "nvidia/riva-translate-4b-instruct-v1_1" Model__Nvidia__Sarvam__M ModelID = "sarvamai/sarvam-m" Model__Nvidia__Seed__Oss__36b__Instruct ModelID = "bytedance/seed-oss-36b-instruct" Model__Nvidia__Solar__10__7b__Instruct ModelID = "upstage/solar-10_7b-instruct" Model__Nvidia__Sparsedrive ModelID = "nvidia/sparsedrive" Model__Nvidia__Step__3__5__Flash__3_5 ModelID = "stepfun-ai/step-3.5-flash" Model__Nvidia__Step__3__7__Flash__3_7 ModelID = "stepfun-ai/step-3.7-flash" Model__Nvidia__Streampetr ModelID = "nvidia/streampetr" Model__Nvidia__Studiovoice ModelID = "nvidia/studiovoice" Model__Nvidia__Synthetic__Video__Detector ModelID = "nvidia/synthetic-video-detector" Model__Nvidia__Usdcode ModelID = "nvidia/usdcode" Model__Nvidia__Usdvalidate ModelID = "nvidia/usdvalidate" Model__Nvidia__Whisper__Large__V3__3 ModelID = "openai/whisper-large-v3" Model__OVHcloud__GPT__Oss__120b ModelID = "gpt-oss-120b" Model__OVHcloud__GPT__Oss__20b ModelID = "gpt-oss-20b" Model__OVHcloud__Llama__3__1__8b__3_1__Instruct ModelID = "llama-3.1-8b-instruct" Model__OVHcloud__Meta__Llama__3__3__70b__Instruct ModelID = "meta-llama-3_3-70b-instruct" Model__OVHcloud__Mistral__7b__Instruct__V0__3__0_3__Instruct ModelID = "mistral-7b-instruct-v0.3" Model__OVHcloud__Mistral__Nemo__Instruct__2407__Instruct ModelID = "mistral-nemo-instruct-2407" Model__OVHcloud__Mistral__Small__3__2__24b__Instruct__2506__3_2__Instruct ModelID = "mistral-small-3.2-24b-instruct-2506" Model__OVHcloud__Qwen2__5__Vl__72b__2_5__Instruct ModelID = "qwen2.5-vl-72b-instruct" Model__OVHcloud__Qwen3__32b__3 ModelID = "qwen3-32b" Model__OVHcloud__Qwen3__5__9b__3_5 ModelID = "qwen3.5-9b" Model__OVHcloud__Qwen3__Coder__30b__A3b__3__Instruct ModelID = "qwen3-coder-30b-a3b-instruct" Model__OllamaCloud__Cogito__2__1__671b ModelID = "cogito-2.1:671b" Model__OllamaCloud__DeepSeek__V3__1__671b ModelID = "deepseek-v3.1:671b" Model__OllamaCloud__DeepSeek__V3__2 ModelID = "deepseek-v3.2" Model__OllamaCloud__DeepSeek__V4__Flash ModelID = "deepseek-v4-flash" Model__OllamaCloud__DeepSeek__V4__Pro__Thinking ModelID = "deepseek-v4-pro" Model__OllamaCloud__Devstral__2__123b ModelID = "devstral-2:123b" Model__OllamaCloud__Devstral__Small__2__24b ModelID = "devstral-small-2:24b" Model__OllamaCloud__GLM__4_6 ModelID = "glm-4.6" Model__OllamaCloud__GLM__4_7 ModelID = "glm-4.7" Model__OllamaCloud__GLM__5 ModelID = "glm-5" Model__OllamaCloud__GLM__5_1 ModelID = "glm-5.1" Model__OllamaCloud__GPT__Oss__120b ModelID = "gpt-oss:120b" Model__OllamaCloud__GPT__Oss__20b ModelID = "gpt-oss:20b" Model__OllamaCloud__Gemini__3__Flash__3__Preview ModelID = "gemini-3-flash-preview" Model__OllamaCloud__Gemma3__12b ModelID = "gemma3:12b" Model__OllamaCloud__Gemma3__27b ModelID = "gemma3:27b" Model__OllamaCloud__Gemma3__4b ModelID = "gemma3:4b" Model__OllamaCloud__Gemma4__31b ModelID = "gemma4:31b" Model__OllamaCloud__Kimi__K2__1t__2 ModelID = "kimi-k2:1t" Model__OllamaCloud__Kimi__K2__2__Thinking ModelID = "kimi-k2-thinking" Model__OllamaCloud__Kimi__K2__5__2_5 ModelID = "kimi-k2.5" Model__OllamaCloud__Kimi__K2__6__2_6 ModelID = "kimi-k2.6" Model__OllamaCloud__MiniMax__M2__1__2_1 ModelID = "minimax-m2.1" Model__OllamaCloud__MiniMax__M2__2 ModelID = "minimax-m2" Model__OllamaCloud__MiniMax__M2__5__2_5 ModelID = "minimax-m2.5" Model__OllamaCloud__MiniMax__M2__7__2_7 ModelID = "minimax-m2.7" Model__OllamaCloud__Ministral__3__14b ModelID = "ministral-3:14b" Model__OllamaCloud__Ministral__3__3b ModelID = "ministral-3:3b" Model__OllamaCloud__Ministral__3__8b ModelID = "ministral-3:8b" Model__OllamaCloud__Mistral__Large__3__675b ModelID = "mistral-large-3:675b" Model__OllamaCloud__Nemotron__3__Nano__30b__3 ModelID = "nemotron-3-nano:30b" Model__OllamaCloud__Nemotron__3__Super__3 ModelID = "nemotron-3-super" Model__OllamaCloud__Qwen3__5__397b ModelID = "qwen3.5:397b" Model__OllamaCloud__Qwen3__Coder__480b__3 ModelID = "qwen3-coder:480b" Model__OllamaCloud__Qwen3__Coder__Next__3 ModelID = "qwen3-coder-next" Model__OllamaCloud__Qwen3__Next__80b__3 ModelID = "qwen3-next:80b" Model__OllamaCloud__Qwen3__Vl__235b__3 ModelID = "qwen3-vl:235b" Model__OllamaCloud__Qwen3__Vl__235b__3__Instruct ModelID = "qwen3-vl:235b-instruct" Model__OllamaCloud__Rnj__1__8b ModelID = "rnj-1:8b" Model__OpenAI__ChatGPT__Image__Latest ModelID = "chatgpt-image-latest" Model__OpenAI__GPT__3_5__Turbo ModelID = "gpt-3.5-turbo" Model__OpenAI__GPT__4 ModelID = "gpt-4" Model__OpenAI__GPT__4_1 ModelID = "gpt-4.1" Model__OpenAI__GPT__4__1__Mini__4_1 ModelID = "gpt-4.1-mini" Model__OpenAI__GPT__4__1__Nano__4_1 ModelID = "gpt-4.1-nano" Model__OpenAI__GPT__4__Turbo ModelID = "gpt-4-turbo" Model__OpenAI__GPT__4o ModelID = "gpt-4o" Model__OpenAI__GPT__4o__20240513 ModelID = "gpt-4o-2024-05-13" Model__OpenAI__GPT__4o__20240806 ModelID = "gpt-4o-2024-08-06" Model__OpenAI__GPT__4o__20241120 ModelID = "gpt-4o-2024-11-20" Model__OpenAI__GPT__4o__Mini ModelID = 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Model__OpenAI__O4__4__Mini ModelID = "o4-mini" Model__OpenAI__O4__Mini__Deep__Research__4__Mini ModelID = "o4-mini-deep-research" Model__OpenAI__Text__Embedding__3__Large__3 ModelID = "text-embedding-3-large" Model__OpenAI__Text__Embedding__3__Small__3 ModelID = "text-embedding-3-small" Model__OpenAI__Text__Embedding__Ada__002 ModelID = "text-embedding-ada-002" Model__OpenCodeGo__DeepSeek__V4__Flash ModelID = "deepseek-v4-flash" Model__OpenCodeGo__DeepSeek__V4__Pro__Thinking ModelID = "deepseek-v4-pro" Model__OpenCodeGo__GLM__5 ModelID = "glm-5" Model__OpenCodeGo__GLM__5_1 ModelID = "glm-5.1" Model__OpenCodeGo__Kimi__K2__5__2_5 ModelID = "kimi-k2.5" Model__OpenCodeGo__Kimi__K2__6__2_6 ModelID = "kimi-k2.6" Model__OpenCodeGo__Mimo__V2__2__Omni ModelID = "mimo-v2-omni" Model__OpenCodeGo__Mimo__V2__2__Pro ModelID = "mimo-v2-pro" Model__OpenCodeGo__Mimo__V2__5__2_5 ModelID = "mimo-v2.5" Model__OpenCodeGo__Mimo__V2__5__2_5__Pro ModelID = "mimo-v2.5-pro" Model__OpenCodeGo__MiniMax__M2__5__2_5 ModelID = "minimax-m2.5" Model__OpenCodeGo__MiniMax__M2__7__2_7 ModelID = "minimax-m2.7" Model__OpenCodeGo__Qwen3__5__Plus__3_5 ModelID = "qwen3.5-plus" Model__OpenCodeGo__Qwen3__6__Plus__3_6 ModelID = "qwen3.6-plus" Model__OpenCodeGo__Qwen3__7__Max__3_7 ModelID = "qwen3.7-max" Model__OpenCode__Big__Pickle ModelID = "big-pickle" Model__OpenCode__Claude__3__5__Haiku__3_5 ModelID = "claude-3-5-haiku" Model__OpenCode__Claude__Haiku__4_5 ModelID = "claude-haiku-4-5" Model__OpenCode__Claude__Opus__4_1 ModelID = "claude-opus-4-1" Model__OpenCode__Claude__Opus__4_5 ModelID = "claude-opus-4-5" Model__OpenCode__Claude__Opus__4_6 ModelID = "claude-opus-4-6" Model__OpenCode__Claude__Opus__4_7 ModelID = "claude-opus-4-7" Model__OpenCode__Claude__Opus__4_8 ModelID = "claude-opus-4-8" Model__OpenCode__Claude__Sonnet__4 ModelID = "claude-sonnet-4" Model__OpenCode__Claude__Sonnet__4_5 ModelID = "claude-sonnet-4-5" Model__OpenCode__Claude__Sonnet__4_6 ModelID = 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Model__OpenCode__GPT__5__3__Codex__Spark__5_3 ModelID = "gpt-5.3-codex-spark" Model__OpenCode__GPT__5__4__Mini__5_4 ModelID = "gpt-5.4-mini" Model__OpenCode__GPT__5__4__Nano__5_4 ModelID = "gpt-5.4-nano" Model__OpenCode__GPT__5__4__Pro__5_4 ModelID = "gpt-5.4-pro" Model__OpenCode__GPT__5__5__Pro__5_5 ModelID = "gpt-5.5-pro" Model__OpenCode__GPT__5__Codex__5 ModelID = "gpt-5-codex" Model__OpenCode__GPT__5__Nano__5 ModelID = "gpt-5-nano" Model__OpenCode__Gemini__3__1__Pro__3_1 ModelID = "gemini-3.1-pro" Model__OpenCode__Gemini__3__5__Flash__3_5 ModelID = "gemini-3.5-flash" Model__OpenCode__Gemini__3__Flash__3 ModelID = "gemini-3-flash" Model__OpenCode__Gemini__3__Pro__3 ModelID = "gemini-3-pro" Model__OpenCode__Grok__Build__0_1 ModelID = "grok-build-0.1" Model__OpenCode__Grok__Code ModelID = "grok-code" Model__OpenCode__Hy3__Preview__Free__3 ModelID = "hy3-preview-free" Model__OpenCode__Kimi__K2__2 ModelID = "kimi-k2" Model__OpenCode__Kimi__K2__2__Thinking ModelID = "kimi-k2-thinking" Model__OpenCode__Kimi__K2__5__2_5 ModelID = "kimi-k2.5" Model__OpenCode__Kimi__K2__5__Free ModelID = "kimi-k2.5-free" Model__OpenCode__Kimi__K2__6__2_6 ModelID = "kimi-k2.6" Model__OpenCode__Ling__2__6__Flash__Free__2_6 ModelID = "ling-2.6-flash-free" Model__OpenCode__Mimo__V2__5__Free ModelID = "mimo-v2.5-free" Model__OpenCode__Mimo__V2__Flash__Free ModelID = "mimo-v2-flash-free" Model__OpenCode__Mimo__V2__Omni__Free ModelID = "mimo-v2-omni-free" Model__OpenCode__Mimo__V2__Pro__Free ModelID = "mimo-v2-pro-free" Model__OpenCode__MiniMax__M2__1__2_1 ModelID = "minimax-m2.1" Model__OpenCode__MiniMax__M2__1__Free ModelID = "minimax-m2.1-free" Model__OpenCode__MiniMax__M2__5__2_5 ModelID = "minimax-m2.5" Model__OpenCode__MiniMax__M2__5__Free ModelID = "minimax-m2.5-free" Model__OpenCode__MiniMax__M2__7__2_7 ModelID = "minimax-m2.7" Model__OpenCode__Nemotron__3__Super__Free__3 ModelID = "nemotron-3-super-free" Model__OpenCode__Qwen3__5__Plus__3_5 ModelID = "qwen3.5-plus" Model__OpenCode__Qwen3__6__Plus__3_6 ModelID = "qwen3.6-plus" Model__OpenCode__Qwen3__6__Plus__Free__3_6 ModelID = "qwen3.6-plus-free" Model__OpenCode__Qwen3__Coder__3 ModelID = "qwen3-coder" Model__OpenCode__Ring__2__6__1t__Free__2_6 ModelID = "ring-2.6-1t-free" Model__OpenCode__Trinity__Large__Preview__Free ModelID = "trinity-large-preview-free" Model__OpenRouter__Aion__1_0 ModelID = "aion-labs/aion-1.0" Model__OpenRouter__Aion__1__0__Mini__1_0 ModelID = "aion-labs/aion-1.0-mini" Model__OpenRouter__Aion__2_0 ModelID = "aion-labs/aion-2.0" Model__OpenRouter__Aion__Rp__Llama__3__1__8b ModelID = "aion-labs/aion-rp-llama-3.1-8b" Model__OpenRouter__Auto ModelID = "openrouter/auto" Model__OpenRouter__Bodybuilder ModelID = "openrouter/bodybuilder" Model__OpenRouter__Claude__3__5__Haiku__3_5 ModelID = "anthropic/claude-3.5-haiku" Model__OpenRouter__Claude__3__Haiku__3 ModelID = "anthropic/claude-3-haiku" Model__OpenRouter__Claude__Haiku__4_5 ModelID = "anthropic/claude-haiku-4.5" Model__OpenRouter__Claude__Haiku__Latest ModelID = "~anthropic/claude-haiku-latest" Model__OpenRouter__Claude__Opus__4 ModelID = "anthropic/claude-opus-4" Model__OpenRouter__Claude__Opus__4_1 ModelID = "anthropic/claude-opus-4.1" Model__OpenRouter__Claude__Opus__4_5 ModelID = "anthropic/claude-opus-4.5" Model__OpenRouter__Claude__Opus__4_6 ModelID = "anthropic/claude-opus-4.6" Model__OpenRouter__Claude__Opus__4_6__Fast ModelID = "anthropic/claude-opus-4.6-fast" Model__OpenRouter__Claude__Opus__4_7 ModelID = "anthropic/claude-opus-4.7" Model__OpenRouter__Claude__Opus__4_7__Fast ModelID = "anthropic/claude-opus-4.7-fast" Model__OpenRouter__Claude__Opus__4_8 ModelID = "anthropic/claude-opus-4.8" Model__OpenRouter__Claude__Opus__4_8__Fast ModelID = "anthropic/claude-opus-4.8-fast" Model__OpenRouter__Claude__Opus__Latest ModelID = "~anthropic/claude-opus-latest" Model__OpenRouter__Claude__Sonnet__4 ModelID = "anthropic/claude-sonnet-4" Model__OpenRouter__Claude__Sonnet__4_5 ModelID = "anthropic/claude-sonnet-4.5" Model__OpenRouter__Claude__Sonnet__4_6 ModelID = "anthropic/claude-sonnet-4.6" Model__OpenRouter__Claude__Sonnet__Latest ModelID = "~anthropic/claude-sonnet-latest" Model__OpenRouter__CodeLlama__7b__Instruct__Solidity__Instruct ModelID = "alfredpros/codellama-7b-instruct-solidity" Model__OpenRouter__Coder__Large ModelID = "arcee-ai/coder-large" Model__OpenRouter__Codestral__2508 ModelID = "mistralai/codestral-2508" Model__OpenRouter__Cogito__V2__1__671b ModelID = "deepcogito/cogito-v2.1-671b" Model__OpenRouter__Command__A ModelID = "cohere/command-a" Model__OpenRouter__Command__R7b__12__2024__12 ModelID = "cohere/command-r7b-12-2024" Model__OpenRouter__Command__R__20240830 ModelID = "cohere/command-r-08-2024" Model__OpenRouter__Command__R__Plus__20240830 ModelID = "cohere/command-r-plus-08-2024" Model__OpenRouter__Cydonia__24b__V4__1 ModelID = "thedrummer/cydonia-24b-v4.1" Model__OpenRouter__DeepSeek__Chat ModelID = "deepseek/deepseek-chat" Model__OpenRouter__DeepSeek__Chat__V3__0324 ModelID = "deepseek/deepseek-chat-v3-0324" Model__OpenRouter__DeepSeek__Chat__V3__1__3_1 ModelID = "deepseek/deepseek-chat-v3.1" Model__OpenRouter__DeepSeek__R1__0528 ModelID = "deepseek/deepseek-r1-0528" Model__OpenRouter__DeepSeek__R1__Distill__Llama__70b__Thinking ModelID = "deepseek/deepseek-r1-distill-llama-70b" Model__OpenRouter__DeepSeek__R1__Distill__Qwen__32b ModelID = "deepseek/deepseek-r1-distill-qwen-32b" Model__OpenRouter__DeepSeek__R1__Thinking ModelID = "deepseek/deepseek-r1" Model__OpenRouter__DeepSeek__V3__1__Nex__N1 ModelID = "nex-agi/deepseek-v3.1-nex-n1" Model__OpenRouter__DeepSeek__V3__1__Terminus ModelID = "deepseek/deepseek-v3.1-terminus" Model__OpenRouter__DeepSeek__V3__2 ModelID = "deepseek/deepseek-v3.2" Model__OpenRouter__DeepSeek__V3__2__Exp ModelID = "deepseek/deepseek-v3.2-exp" Model__OpenRouter__DeepSeek__V4__Flash ModelID = "deepseek/deepseek-v4-flash" Model__OpenRouter__DeepSeek__V4__Flash__Free ModelID = "deepseek/deepseek-v4-flash:free" Model__OpenRouter__DeepSeek__V4__Pro__Thinking ModelID = "deepseek/deepseek-v4-pro" Model__OpenRouter__Devstral__2512 ModelID = "mistralai/devstral-2512" Model__OpenRouter__Devstral__Medium ModelID = "mistralai/devstral-medium" Model__OpenRouter__Devstral__Small ModelID = "mistralai/devstral-small" Model__OpenRouter__Dolphin__Mistral__24b__Venice__Edition__Free ModelID = "cognitivecomputations/dolphin-mistral-24b-venice-edition:free" Model__OpenRouter__Ernie__4__5__21b__A3b__4_5 ModelID = "baidu/ernie-4.5-21b-a3b" Model__OpenRouter__Ernie__4__5__21b__A3b__4_5__Thinking ModelID = "baidu/ernie-4.5-21b-a3b-thinking" Model__OpenRouter__Ernie__4__5__300b__A47b__4_5 ModelID = "baidu/ernie-4.5-300b-a47b" Model__OpenRouter__Ernie__4__5__Vl__28b__A3b__4_5 ModelID = "baidu/ernie-4.5-vl-28b-a3b" Model__OpenRouter__Ernie__4__5__Vl__424b__A47b__4_5 ModelID = "baidu/ernie-4.5-vl-424b-a47b" Model__OpenRouter__Free ModelID = "openrouter/free" Model__OpenRouter__GLM__4_5 ModelID = "z-ai/glm-4.5" Model__OpenRouter__GLM__4_6 ModelID = "z-ai/glm-4.6" Model__OpenRouter__GLM__4_7 ModelID = "z-ai/glm-4.7" Model__OpenRouter__GLM__4__32b__4 ModelID = "z-ai/glm-4-32b" Model__OpenRouter__GLM__4__5__Air__4_5 ModelID = "z-ai/glm-4.5-air" Model__OpenRouter__GLM__4__5__Air__Free__4_5 ModelID = "z-ai/glm-4.5-air:free" Model__OpenRouter__GLM__4__5v__4_5 ModelID = "z-ai/glm-4.5v" Model__OpenRouter__GLM__4__6v__4_6 ModelID = "z-ai/glm-4.6v" Model__OpenRouter__GLM__4__7__Flash__4_7 ModelID = "z-ai/glm-4.7-flash" Model__OpenRouter__GLM__5 ModelID = "z-ai/glm-5" Model__OpenRouter__GLM__5_1 ModelID = "z-ai/glm-5.1" Model__OpenRouter__GLM__5__Turbo ModelID = "z-ai/glm-5-turbo" Model__OpenRouter__GLM__5v__5__Turbo ModelID = "z-ai/glm-5v-turbo" Model__OpenRouter__GPT__3_5__Turbo ModelID = "openai/gpt-3.5-turbo" Model__OpenRouter__GPT__3_5__TurboInstruct ModelID = "openai/gpt-3.5-turbo-instruct" Model__OpenRouter__GPT__3__5__Turbo__0613__3_5__Turbo ModelID = "openai/gpt-3.5-turbo-0613" Model__OpenRouter__GPT__3__5__Turbo__16k__3_5__Turbo ModelID = "openai/gpt-3.5-turbo-16k" Model__OpenRouter__GPT__4 ModelID = "openai/gpt-4" Model__OpenRouter__GPT__4_1 ModelID = "openai/gpt-4.1" Model__OpenRouter__GPT__4__0314__4 ModelID = "openai/gpt-4-0314" Model__OpenRouter__GPT__4__1106__4__Preview ModelID = "openai/gpt-4-1106-preview" Model__OpenRouter__GPT__4__1__Mini__4_1 ModelID = "openai/gpt-4.1-mini" Model__OpenRouter__GPT__4__1__Nano__4_1 ModelID = "openai/gpt-4.1-nano" Model__OpenRouter__GPT__4__Turbo ModelID = "openai/gpt-4-turbo" Model__OpenRouter__GPT__4__TurboPreview ModelID = "openai/gpt-4-turbo-preview" Model__OpenRouter__GPT__4o ModelID = "openai/gpt-4o" Model__OpenRouter__GPT__4o__20240513 ModelID = "openai/gpt-4o-2024-05-13" Model__OpenRouter__GPT__4o__20240806 ModelID = "openai/gpt-4o-2024-08-06" Model__OpenRouter__GPT__4o__20241120 ModelID = "openai/gpt-4o-2024-11-20" Model__OpenRouter__GPT__4o__Mini ModelID = "openai/gpt-4o-mini" Model__OpenRouter__GPT__4o__Mini__Mini__20240718 ModelID = "openai/gpt-4o-mini-2024-07-18" Model__OpenRouter__GPT__4o__Mini__Search__PreviewMini ModelID = "openai/gpt-4o-mini-search-preview" Model__OpenRouter__GPT__4o__Search__Preview ModelID = "openai/gpt-4o-search-preview" Model__OpenRouter__GPT__5 ModelID = "openai/gpt-5" Model__OpenRouter__GPT__5_1 ModelID = "openai/gpt-5.1" Model__OpenRouter__GPT__5_1__Chat ModelID = "openai/gpt-5.1-chat" Model__OpenRouter__GPT__5_2 ModelID = "openai/gpt-5.2" Model__OpenRouter__GPT__5_2__Chat ModelID = "openai/gpt-5.2-chat" Model__OpenRouter__GPT__5_3__Chat ModelID = "openai/gpt-5.3-chat" Model__OpenRouter__GPT__5_4 ModelID = "openai/gpt-5.4" Model__OpenRouter__GPT__5_5 ModelID = "openai/gpt-5.5" Model__OpenRouter__GPT__5__1__Codex__5_1 ModelID = "openai/gpt-5.1-codex" Model__OpenRouter__GPT__5__1__Codex__Max__5_1 ModelID = "openai/gpt-5.1-codex-max" Model__OpenRouter__GPT__5__1__Codex__Mini__5_1 ModelID = "openai/gpt-5.1-codex-mini" Model__OpenRouter__GPT__5__2__Codex__5_2 ModelID = "openai/gpt-5.2-codex" Model__OpenRouter__GPT__5__2__Pro__5_2 ModelID = "openai/gpt-5.2-pro" Model__OpenRouter__GPT__5__3__Codex__5_3 ModelID = "openai/gpt-5.3-codex" Model__OpenRouter__GPT__5__4__Image__2__5_4 ModelID = "openai/gpt-5.4-image-2" Model__OpenRouter__GPT__5__4__Mini__5_4 ModelID = "openai/gpt-5.4-mini" Model__OpenRouter__GPT__5__4__Nano__5_4 ModelID = "openai/gpt-5.4-nano" Model__OpenRouter__GPT__5__4__Pro__5_4 ModelID = "openai/gpt-5.4-pro" Model__OpenRouter__GPT__5__5__Pro__5_5 ModelID = "openai/gpt-5.5-pro" Model__OpenRouter__GPT__5__Chat ModelID = "openai/gpt-5-chat" Model__OpenRouter__GPT__5__Codex__5 ModelID = "openai/gpt-5-codex" Model__OpenRouter__GPT__5__Image__5 ModelID = "openai/gpt-5-image" Model__OpenRouter__GPT__5__Image__Mini__5 ModelID = "openai/gpt-5-image-mini" Model__OpenRouter__GPT__5__Mini__5 ModelID = "openai/gpt-5-mini" Model__OpenRouter__GPT__5__Nano__5 ModelID = "openai/gpt-5-nano" Model__OpenRouter__GPT__5__Pro__5 ModelID = "openai/gpt-5-pro" Model__OpenRouter__GPT__Audio ModelID = "openai/gpt-audio" Model__OpenRouter__GPT__Audio__Mini ModelID = "openai/gpt-audio-mini" Model__OpenRouter__GPT__ChatLatest ModelID = "openai/gpt-chat-latest" Model__OpenRouter__GPT__Latest ModelID = "~openai/gpt-latest" Model__OpenRouter__GPT__Mini__Latest ModelID = "~openai/gpt-mini-latest" Model__OpenRouter__GPT__Oss__120b ModelID = "openai/gpt-oss-120b" Model__OpenRouter__GPT__Oss__120b__Free ModelID = "openai/gpt-oss-120b:free" Model__OpenRouter__GPT__Oss__20b ModelID = "openai/gpt-oss-20b" Model__OpenRouter__GPT__Oss__20b__Free ModelID = "openai/gpt-oss-20b:free" Model__OpenRouter__GPT__Oss__Safeguard__20b ModelID = "openai/gpt-oss-safeguard-20b" Model__OpenRouter__Gemini__2__0__Flash__001__2_0 ModelID = "google/gemini-2.0-flash-001" Model__OpenRouter__Gemini__2__0__Flash__Lite__001__2_0 ModelID = "google/gemini-2.0-flash-lite-001" Model__OpenRouter__Gemini__2__5__Flash__2_5 ModelID = "google/gemini-2.5-flash" Model__OpenRouter__Gemini__2__5__Flash__Image__2_5 ModelID = "google/gemini-2.5-flash-image" Model__OpenRouter__Gemini__2__5__Flash__Lite__2_5 ModelID = "google/gemini-2.5-flash-lite" Model__OpenRouter__Gemini__2__5__Flash__Lite__Preview__2_5__Preview__20250925 ModelID = "google/gemini-2.5-flash-lite-preview-09-2025" Model__OpenRouter__Gemini__2__5__Pro__2_5 ModelID = "google/gemini-2.5-pro" Model__OpenRouter__Gemini__2__5__Pro__2_5__Preview ModelID = "google/gemini-2.5-pro-preview" Model__OpenRouter__Gemini__2__5__Pro__Preview__05__06__2_5 ModelID = "google/gemini-2.5-pro-preview-05-06" Model__OpenRouter__Gemini__3__1__Flash__Image__3_1__Preview ModelID = "google/gemini-3.1-flash-image-preview" Model__OpenRouter__Gemini__3__1__Flash__Lite__3_1 ModelID = "google/gemini-3.1-flash-lite" Model__OpenRouter__Gemini__3__1__Flash__Lite__3_1__Preview ModelID = "google/gemini-3.1-flash-lite-preview" Model__OpenRouter__Gemini__3__1__Pro__3_1__Preview ModelID = "google/gemini-3.1-pro-preview" Model__OpenRouter__Gemini__3__1__Pro__Preview__Customtools__3_1 ModelID = "google/gemini-3.1-pro-preview-customtools" Model__OpenRouter__Gemini__3__5__Flash__3_5 ModelID = "google/gemini-3.5-flash" Model__OpenRouter__Gemini__3__Flash__3__Preview ModelID = "google/gemini-3-flash-preview" Model__OpenRouter__Gemini__3__Pro__Image__3__Preview ModelID = "google/gemini-3-pro-image-preview" Model__OpenRouter__Gemini__Flash__Latest ModelID = "~google/gemini-flash-latest" Model__OpenRouter__Gemini__Pro__Latest ModelID = "~google/gemini-pro-latest" Model__OpenRouter__Gemma__2__27b__It__2 ModelID = "google/gemma-2-27b-it" Model__OpenRouter__Gemma__3__12b__It__3 ModelID = "google/gemma-3-12b-it" Model__OpenRouter__Gemma__3__27b__It__3 ModelID = "google/gemma-3-27b-it" Model__OpenRouter__Gemma__3__4b__It__3 ModelID = "google/gemma-3-4b-it" Model__OpenRouter__Gemma__3n__E4b__It ModelID = "google/gemma-3n-e4b-it" Model__OpenRouter__Gemma__4__26b__A4b__It__4 ModelID = "google/gemma-4-26b-a4b-it" Model__OpenRouter__Gemma__4__26b__A4b__It__Free__4 ModelID = "google/gemma-4-26b-a4b-it:free" Model__OpenRouter__Gemma__4__31b__It__4 ModelID = "google/gemma-4-31b-it" Model__OpenRouter__Gemma__4__31b__It__Free__4 ModelID = "google/gemma-4-31b-it:free" Model__OpenRouter__Granite__4__0__H__Micro__4_0 ModelID = "ibm-granite/granite-4.0-h-micro" Model__OpenRouter__Granite__4__1__8b__4_1 ModelID = "ibm-granite/granite-4.1-8b" Model__OpenRouter__Grok__4_20 ModelID = "x-ai/grok-4.20" Model__OpenRouter__Grok__4_3 ModelID = "x-ai/grok-4.3" Model__OpenRouter__Grok__4__20__Multi__Agent__4_20 ModelID = "x-ai/grok-4.20-multi-agent" Model__OpenRouter__Grok__Build__0_1 ModelID = "x-ai/grok-build-0.1" Model__OpenRouter__Hermes__2__Pro__Llama__3__8b__2 ModelID = "nousresearch/hermes-2-pro-llama-3-8b" Model__OpenRouter__Hermes__3__Llama__3__1__405b__3 ModelID = "nousresearch/hermes-3-llama-3.1-405b" Model__OpenRouter__Hermes__3__Llama__3__1__405b__Free__3 ModelID = "nousresearch/hermes-3-llama-3.1-405b:free" Model__OpenRouter__Hermes__3__Llama__3__1__70b__3 ModelID = "nousresearch/hermes-3-llama-3.1-70b" Model__OpenRouter__Hermes__4__405b__4 ModelID = "nousresearch/hermes-4-405b" Model__OpenRouter__Hermes__4__70b__4 ModelID = "nousresearch/hermes-4-70b" Model__OpenRouter__Hunyuan__A13b__Instruct ModelID = "tencent/hunyuan-a13b-instruct" Model__OpenRouter__Hy3__3__Preview ModelID = "tencent/hy3-preview" Model__OpenRouter__Inflection__3__Pi__3 ModelID = "inflection/inflection-3-pi" Model__OpenRouter__Inflection__3__Productivity__3 ModelID = "inflection/inflection-3-productivity" Model__OpenRouter__Intellect__3 ModelID = "prime-intellect/intellect-3" Model__OpenRouter__Jamba__Large__1_7 ModelID = "ai21/jamba-large-1.7" Model__OpenRouter__Kat__Coder__Pro__V2 ModelID = "kwaipilot/kat-coder-pro-v2" Model__OpenRouter__Kimi__K2__0905__2 ModelID = "moonshotai/kimi-k2-0905" Model__OpenRouter__Kimi__K2__2 ModelID = "moonshotai/kimi-k2" Model__OpenRouter__Kimi__K2__2__Thinking ModelID = "moonshotai/kimi-k2-thinking" Model__OpenRouter__Kimi__K2__5__2_5 ModelID = "moonshotai/kimi-k2.5" Model__OpenRouter__Kimi__K2__6__2_6 ModelID = "moonshotai/kimi-k2.6" Model__OpenRouter__Kimi__K2__6__Free__2_6 ModelID = "moonshotai/kimi-k2.6:free" Model__OpenRouter__Kimi__Latest ModelID = "~moonshotai/kimi-latest" Model__OpenRouter__L3__1__70b__Hanami__X1 ModelID = "sao10k/l3.1-70b-hanami-x1" Model__OpenRouter__L3__1__Euryale__70b ModelID = "sao10k/l3.1-euryale-70b" Model__OpenRouter__L3__3__Euryale__70b ModelID = "sao10k/l3.3-euryale-70b" Model__OpenRouter__L3__Euryale__70b ModelID = "sao10k/l3-euryale-70b" Model__OpenRouter__L3__Lunaris__8b ModelID = "sao10k/l3-lunaris-8b" Model__OpenRouter__Laguna__M__1__Free ModelID = "poolside/laguna-m.1:free" Model__OpenRouter__Laguna__Xs__2__Free ModelID = "poolside/laguna-xs.2:free" Model__OpenRouter__Lfm__2__24b__A2b__2 ModelID = "liquid/lfm-2-24b-a2b" Model__OpenRouter__Lfm__2__5__1__2b__Instruct__Free__2_5__Instruct ModelID = "liquid/lfm-2.5-1.2b-instruct:free" Model__OpenRouter__Lfm__2__5__1__2b__Thinking__Free__2_5__Thinking ModelID = "liquid/lfm-2.5-1.2b-thinking:free" Model__OpenRouter__Ling__2__6__1t__2_6 ModelID = "inclusionai/ling-2.6-1t" Model__OpenRouter__Ling__2__6__Flash__2_6 ModelID = "inclusionai/ling-2.6-flash" Model__OpenRouter__Llama__3__1__70b__3_1__Instruct ModelID = "meta-llama/llama-3.1-70b-instruct" Model__OpenRouter__Llama__3__1__8b__3_1__Instruct ModelID = "meta-llama/llama-3.1-8b-instruct" Model__OpenRouter__Llama__3__2__11b__3_2__VisionInstruct ModelID = "meta-llama/llama-3.2-11b-vision-instruct" Model__OpenRouter__Llama__3__2__1b__3_2__Instruct ModelID = "meta-llama/llama-3.2-1b-instruct" Model__OpenRouter__Llama__3__2__3b__3_2__Instruct ModelID = "meta-llama/llama-3.2-3b-instruct" Model__OpenRouter__Llama__3__2__3b__Instruct__Free__3_2__Instruct ModelID = "meta-llama/llama-3.2-3b-instruct:free" Model__OpenRouter__Llama__3__3__70b__3_3__Instruct ModelID = "meta-llama/llama-3.3-70b-instruct" Model__OpenRouter__Llama__3__3__70b__Instruct__Free__3_3__Instruct ModelID = "meta-llama/llama-3.3-70b-instruct:free" Model__OpenRouter__Llama__3__3__Nemotron__Super__49b__V1__5__3_3 ModelID = "nvidia/llama-3.3-nemotron-super-49b-v1.5" Model__OpenRouter__Llama__3__70b__3__Instruct ModelID = "meta-llama/llama-3-70b-instruct" Model__OpenRouter__Llama__3__8b__3__Instruct ModelID = "meta-llama/llama-3-8b-instruct" Model__OpenRouter__Llama__4__Maverick__4 ModelID = "meta-llama/llama-4-maverick" Model__OpenRouter__Llama__4__Scout__4 ModelID = "meta-llama/llama-4-scout" Model__OpenRouter__Llama__Guard__3__8b__3 ModelID = "meta-llama/llama-guard-3-8b" Model__OpenRouter__Llama__Guard__4__12b__4 ModelID = "meta-llama/llama-guard-4-12b" Model__OpenRouter__Lyria__3__Clip__3__Preview ModelID = "google/lyria-3-clip-preview" Model__OpenRouter__Lyria__3__Pro__3__Preview ModelID = "google/lyria-3-pro-preview" Model__OpenRouter__Maestro__Reasoning ModelID = "arcee-ai/maestro-reasoning" Model__OpenRouter__Magnum__V4__72b ModelID = "anthracite-org/magnum-v4-72b" Model__OpenRouter__Mercury__2 ModelID = "inception/mercury-2" Model__OpenRouter__Mimo__V2__2__Omni ModelID = "xiaomi/mimo-v2-omni" Model__OpenRouter__Mimo__V2__2__Pro ModelID = "xiaomi/mimo-v2-pro" Model__OpenRouter__Mimo__V2__5__2_5 ModelID = "xiaomi/mimo-v2.5" Model__OpenRouter__Mimo__V2__5__2_5__Pro ModelID = "xiaomi/mimo-v2.5-pro" Model__OpenRouter__Mimo__V2__Flash ModelID = "xiaomi/mimo-v2-flash" Model__OpenRouter__MiniMax__01 ModelID = "minimax/minimax-01" Model__OpenRouter__MiniMax__M1__1 ModelID = "minimax/minimax-m1" Model__OpenRouter__MiniMax__M2__1__2_1 ModelID = "minimax/minimax-m2.1" Model__OpenRouter__MiniMax__M2__2 ModelID = "minimax/minimax-m2" Model__OpenRouter__MiniMax__M2__5__2_5 ModelID = "minimax/minimax-m2.5" Model__OpenRouter__MiniMax__M2__5__Free__2_5 ModelID = "minimax/minimax-m2.5:free" Model__OpenRouter__MiniMax__M2__7__2_7 ModelID = "minimax/minimax-m2.7" Model__OpenRouter__MiniMax__M2__Her ModelID = "minimax/minimax-m2-her" Model__OpenRouter__Ministral__14b__2512 ModelID = "mistralai/ministral-14b-2512" Model__OpenRouter__Ministral__3b__2512 ModelID = "mistralai/ministral-3b-2512" Model__OpenRouter__Ministral__8b__2512 ModelID = "mistralai/ministral-8b-2512" Model__OpenRouter__Mistral__7b__Instruct__V0__1__0_1__Instruct ModelID = "mistralai/mistral-7b-instruct-v0.1" Model__OpenRouter__Mistral__Large ModelID = "mistralai/mistral-large" Model__OpenRouter__Mistral__Large__2407 ModelID = "mistralai/mistral-large-2407" Model__OpenRouter__Mistral__Large__2411 ModelID = "mistralai/mistral-large-2411" Model__OpenRouter__Mistral__Large__2512 ModelID = "mistralai/mistral-large-2512" Model__OpenRouter__Mistral__Medium__3 ModelID = "mistralai/mistral-medium-3" Model__OpenRouter__Mistral__Medium__3_1 ModelID = "mistralai/mistral-medium-3.1" Model__OpenRouter__Mistral__Medium__3_5 ModelID = "mistralai/mistral-medium-3-5" Model__OpenRouter__Mistral__Nemo ModelID = "mistralai/mistral-nemo" Model__OpenRouter__Mistral__Saba ModelID = "mistralai/mistral-saba" Model__OpenRouter__Mistral__Small__24b__Instruct__2501__Instruct ModelID = "mistralai/mistral-small-24b-instruct-2501" Model__OpenRouter__Mistral__Small__2603 ModelID = "mistralai/mistral-small-2603" Model__OpenRouter__Mistral__Small__3__1__24b__3_1__Instruct ModelID = "mistralai/mistral-small-3.1-24b-instruct" Model__OpenRouter__Mistral__Small__3__2__24b__3_2__Instruct ModelID = "mistralai/mistral-small-3.2-24b-instruct" Model__OpenRouter__Mixtral__8x22b__Instruct ModelID = "mistralai/mixtral-8x22b-instruct" Model__OpenRouter__Morph__V3__Fast ModelID = "morph/morph-v3-fast" Model__OpenRouter__Morph__V3__Large ModelID = "morph/morph-v3-large" Model__OpenRouter__Mythomax__L2__13b ModelID = "gryphe/mythomax-l2-13b" Model__OpenRouter__Nemotron__3__Nano__30b__A3b__3 ModelID = "nvidia/nemotron-3-nano-30b-a3b" Model__OpenRouter__Nemotron__3__Nano__30b__A3b__Free__3 ModelID = "nvidia/nemotron-3-nano-30b-a3b:free" Model__OpenRouter__Nemotron__3__Nano__Omni__30b__A3b__Reasoning__Free__3__Reasoning ModelID = "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free" Model__OpenRouter__Nemotron__3__Super__120b__A12b__3 ModelID = "nvidia/nemotron-3-super-120b-a12b" Model__OpenRouter__Nemotron__3__Super__120b__A12b__Free__3 ModelID = "nvidia/nemotron-3-super-120b-a12b:free" Model__OpenRouter__Nemotron__Nano__12b__V2__Vl__Free ModelID = "nvidia/nemotron-nano-12b-v2-vl:free" Model__OpenRouter__Nemotron__Nano__9b__V2 ModelID = "nvidia/nemotron-nano-9b-v2" Model__OpenRouter__Nemotron__Nano__9b__V2__Free ModelID = "nvidia/nemotron-nano-9b-v2:free" Model__OpenRouter__Nova__2__Lite__V1__2 ModelID = "amazon/nova-2-lite-v1" Model__OpenRouter__Nova__Lite__V1 ModelID = "amazon/nova-lite-v1" Model__OpenRouter__Nova__Micro__V1 ModelID = "amazon/nova-micro-v1" Model__OpenRouter__Nova__Premier__V1 ModelID = "amazon/nova-premier-v1" Model__OpenRouter__Nova__Pro__V1 ModelID = "amazon/nova-pro-v1" Model__OpenRouter__O1__1 ModelID = "openai/o1" Model__OpenRouter__O1__1__Pro ModelID = "openai/o1-pro" Model__OpenRouter__O3__3 ModelID = "openai/o3" Model__OpenRouter__O3__3__Mini ModelID = "openai/o3-mini" Model__OpenRouter__O3__3__Pro ModelID = "openai/o3-pro" Model__OpenRouter__O3__Deep__Research__3__Deep_Research ModelID = "openai/o3-deep-research" Model__OpenRouter__O3__Mini__High__3__Mini ModelID = "openai/o3-mini-high" Model__OpenRouter__O4__4__Mini ModelID = "openai/o4-mini" Model__OpenRouter__O4__Mini__Deep__Research__4__Mini ModelID = "openai/o4-mini-deep-research" Model__OpenRouter__O4__Mini__High__4__Mini ModelID = "openai/o4-mini-high" Model__OpenRouter__OLMo__3__32b__3__Think ModelID = "allenai/olmo-3-32b-think" Model__OpenRouter__Owl__Alpha ModelID = "openrouter/owl-alpha" Model__OpenRouter__Palmyra__X5 ModelID = "writer/palmyra-x5" Model__OpenRouter__Pareto__Code ModelID = "openrouter/pareto-code" Model__OpenRouter__Perceptron__Mk1 ModelID = "perceptron/perceptron-mk1" Model__OpenRouter__Phi__4 ModelID = "microsoft/phi-4" Model__OpenRouter__Phi__4__Mini__4__Instruct ModelID = "microsoft/phi-4-mini-instruct" Model__OpenRouter__Pixtral__Large__2411 ModelID = "mistralai/pixtral-large-2411" Model__OpenRouter__Qwen2__5__Vl__72b__2_5__Instruct ModelID = "qwen/qwen2.5-vl-72b-instruct" Model__OpenRouter__Qwen3__14b__3 ModelID = "qwen/qwen3-14b" Model__OpenRouter__Qwen3__235b__A22b__2507__3 ModelID = "qwen/qwen3-235b-a22b-2507" Model__OpenRouter__Qwen3__235b__A22b__3 ModelID = "qwen/qwen3-235b-a22b" Model__OpenRouter__Qwen3__235b__A22b__Thinking__2507__3__Thinking ModelID = "qwen/qwen3-235b-a22b-thinking-2507" Model__OpenRouter__Qwen3__30b__A3b__3 ModelID = "qwen/qwen3-30b-a3b" Model__OpenRouter__Qwen3__30b__A3b__Instruct__2507__3__Instruct ModelID = "qwen/qwen3-30b-a3b-instruct-2507" Model__OpenRouter__Qwen3__30b__A3b__Thinking__2507__3__Thinking ModelID = "qwen/qwen3-30b-a3b-thinking-2507" Model__OpenRouter__Qwen3__32b__3 ModelID = "qwen/qwen3-32b" Model__OpenRouter__Qwen3__5__122b__A10b__3_5 ModelID = "qwen/qwen3.5-122b-a10b" Model__OpenRouter__Qwen3__5__27b__3_5 ModelID = "qwen/qwen3.5-27b" Model__OpenRouter__Qwen3__5__35b__A3b__3_5 ModelID = "qwen/qwen3.5-35b-a3b" Model__OpenRouter__Qwen3__5__397b__A17b__3_5 ModelID = "qwen/qwen3.5-397b-a17b" Model__OpenRouter__Qwen3__5__9b__3_5 ModelID = "qwen/qwen3.5-9b" Model__OpenRouter__Qwen3__5__Flash__02__23__3_5 ModelID = "qwen/qwen3.5-flash-02-23" Model__OpenRouter__Qwen3__5__Plus__02__15__3_5 ModelID = "qwen/qwen3.5-plus-02-15" Model__OpenRouter__Qwen3__5__Plus__3_5__20260420 ModelID = "qwen/qwen3.5-plus-20260420" Model__OpenRouter__Qwen3__6__27b__3_6 ModelID = "qwen/qwen3.6-27b" Model__OpenRouter__Qwen3__6__35b__A3b__3_6 ModelID = "qwen/qwen3.6-35b-a3b" Model__OpenRouter__Qwen3__6__Flash__3_6 ModelID = "qwen/qwen3.6-flash" Model__OpenRouter__Qwen3__6__Max__3_6__Preview ModelID = "qwen/qwen3.6-max-preview" Model__OpenRouter__Qwen3__6__Plus__3_6 ModelID = "qwen/qwen3.6-plus" Model__OpenRouter__Qwen3__7__Max__3_7 ModelID = "qwen/qwen3.7-max" Model__OpenRouter__Qwen3__8b__3 ModelID = "qwen/qwen3-8b" Model__OpenRouter__Qwen3__Coder__3 ModelID = "qwen/qwen3-coder" Model__OpenRouter__Qwen3__Coder__30b__A3b__3__Instruct ModelID = "qwen/qwen3-coder-30b-a3b-instruct" Model__OpenRouter__Qwen3__Coder__Flash__3 ModelID = "qwen/qwen3-coder-flash" Model__OpenRouter__Qwen3__Coder__Free__3 ModelID = "qwen/qwen3-coder:free" Model__OpenRouter__Qwen3__Coder__Next__3 ModelID = "qwen/qwen3-coder-next" Model__OpenRouter__Qwen3__Coder__Plus__3 ModelID = "qwen/qwen3-coder-plus" Model__OpenRouter__Qwen3__Max__3 ModelID = "qwen/qwen3-max" Model__OpenRouter__Qwen3__Max__3__Thinking ModelID = "qwen/qwen3-max-thinking" Model__OpenRouter__Qwen3__Next__80b__A3b__3__Instruct ModelID = "qwen/qwen3-next-80b-a3b-instruct" Model__OpenRouter__Qwen3__Next__80b__A3b__3__Thinking ModelID = "qwen/qwen3-next-80b-a3b-thinking" Model__OpenRouter__Qwen3__Next__80b__A3b__Instruct__Free__3__Instruct ModelID = "qwen/qwen3-next-80b-a3b-instruct:free" Model__OpenRouter__Qwen3__Vl__235b__A22b__3__Instruct ModelID = "qwen/qwen3-vl-235b-a22b-instruct" Model__OpenRouter__Qwen3__Vl__235b__A22b__3__Thinking ModelID = "qwen/qwen3-vl-235b-a22b-thinking" Model__OpenRouter__Qwen3__Vl__30b__A3b__3__Instruct ModelID = "qwen/qwen3-vl-30b-a3b-instruct" Model__OpenRouter__Qwen3__Vl__30b__A3b__3__Thinking ModelID = "qwen/qwen3-vl-30b-a3b-thinking" Model__OpenRouter__Qwen3__Vl__32b__3__Instruct ModelID = "qwen/qwen3-vl-32b-instruct" Model__OpenRouter__Qwen3__Vl__8b__3__Instruct ModelID = "qwen/qwen3-vl-8b-instruct" Model__OpenRouter__Qwen3__Vl__8b__3__Thinking ModelID = "qwen/qwen3-vl-8b-thinking" Model__OpenRouter__Qwen__2__5__72b__2_5__Instruct ModelID = "qwen/qwen-2.5-72b-instruct" Model__OpenRouter__Qwen__2__5__7b__2_5__Instruct ModelID = "qwen/qwen-2.5-7b-instruct" Model__OpenRouter__Qwen__2__5__Coder__32b__2_5__Instruct ModelID = "qwen/qwen-2.5-coder-32b-instruct" Model__OpenRouter__Qwen__Plus ModelID = "qwen/qwen-plus" Model__OpenRouter__Qwen__Plus__20250728 ModelID = "qwen/qwen-plus-2025-07-28" Model__OpenRouter__Qwen__Plus__2025__07__28__Thinking ModelID = "qwen/qwen-plus-2025-07-28:thinking" Model__OpenRouter__Reka__Edge ModelID = "rekaai/reka-edge" Model__OpenRouter__Reka__Flash__3 ModelID = "rekaai/reka-flash-3" Model__OpenRouter__Relace__Apply__3 ModelID = "relace/relace-apply-3" Model__OpenRouter__Relace__Search ModelID = "relace/relace-search" Model__OpenRouter__Remm__Slerp__L2__13b ModelID = "undi95/remm-slerp-l2-13b" Model__OpenRouter__Ring__2__6__1t__2_6 ModelID = "inclusionai/ring-2.6-1t" Model__OpenRouter__Rnj__1__Instruct ModelID = "essentialai/rnj-1-instruct" Model__OpenRouter__Rocinante__12b ModelID = "thedrummer/rocinante-12b" Model__OpenRouter__Router ModelID = "switchpoint/router" Model__OpenRouter__Seed__1_6 ModelID = "bytedance-seed/seed-1.6" Model__OpenRouter__Seed__1__6__Flash__1_6 ModelID = "bytedance-seed/seed-1.6-flash" Model__OpenRouter__Seed__2__0__Lite__2_0 ModelID = "bytedance-seed/seed-2.0-lite" Model__OpenRouter__Seed__2__0__Mini__2_0 ModelID = "bytedance-seed/seed-2.0-mini" Model__OpenRouter__Skyfall__36b__V2 ModelID = "thedrummer/skyfall-36b-v2" Model__OpenRouter__Solar__Pro__3 ModelID = "upstage/solar-pro-3" Model__OpenRouter__Sonar ModelID = "perplexity/sonar" Model__OpenRouter__Sonar__Deep__Research ModelID = "perplexity/sonar-deep-research" Model__OpenRouter__Sonar__Pro ModelID = "perplexity/sonar-pro" Model__OpenRouter__Sonar__Pro__Search ModelID = "perplexity/sonar-pro-search" Model__OpenRouter__Sonar__Reasoning__Pro ModelID = "perplexity/sonar-reasoning-pro" Model__OpenRouter__Spotlight ModelID = "arcee-ai/spotlight" Model__OpenRouter__Step__3__5__Flash__3_5 ModelID = "stepfun/step-3.5-flash" Model__OpenRouter__Step__3__7__Flash__3_7 ModelID = "stepfun/step-3.7-flash" Model__OpenRouter__Trinity__Large__Thinking ModelID = "arcee-ai/trinity-large-thinking" Model__OpenRouter__Trinity__Mini ModelID = "arcee-ai/trinity-mini" Model__OpenRouter__Ui__Tars__1__5__7b ModelID = "bytedance/ui-tars-1.5-7b" Model__OpenRouter__Unslopnemo__12b ModelID = "thedrummer/unslopnemo-12b" Model__OpenRouter__Virtuoso__Large ModelID = "arcee-ai/virtuoso-large" Model__OpenRouter__Voxtral__Small__24b__2507 ModelID = "mistralai/voxtral-small-24b-2507" Model__OpenRouter__Weaver ModelID = "mancer/weaver" Model__OpenRouter__WizardLM__2__8x22b__2 ModelID = "microsoft/wizardlm-2-8x22b" Model__OrcaRouter__Auto ModelID = "orcarouter/auto" Model__OrcaRouter__Claude__Haiku__4_5 ModelID = "anthropic/claude-haiku-4.5" Model__OrcaRouter__Claude__Opus__4 ModelID = "anthropic/claude-opus-4" Model__OrcaRouter__Claude__Opus__4_1 ModelID = "anthropic/claude-opus-4.1" Model__OrcaRouter__Claude__Opus__4_5 ModelID = "anthropic/claude-opus-4.5" Model__OrcaRouter__Claude__Opus__4_6 ModelID = "anthropic/claude-opus-4.6" Model__OrcaRouter__Claude__Opus__4_7 ModelID = "anthropic/claude-opus-4.7" Model__OrcaRouter__Claude__Sonnet__4 ModelID = "anthropic/claude-sonnet-4" Model__OrcaRouter__Claude__Sonnet__4_5 ModelID = "anthropic/claude-sonnet-4.5" Model__OrcaRouter__Claude__Sonnet__4_6 ModelID = "anthropic/claude-sonnet-4.6" Model__OrcaRouter__DeepSeek__Chat ModelID = "deepseek/deepseek-chat" Model__OrcaRouter__DeepSeek__Reasoner__Thinking ModelID = "deepseek/deepseek-reasoner" Model__OrcaRouter__DeepSeek__V4__Flash ModelID = "deepseek/deepseek-v4-flash" Model__OrcaRouter__DeepSeek__V4__Pro__Thinking ModelID = "deepseek/deepseek-v4-pro" Model__OrcaRouter__GLM__4_5 ModelID = "z-ai/glm-4.5" Model__OrcaRouter__GLM__4_6 ModelID = "z-ai/glm-4.6" Model__OrcaRouter__GLM__4_7 ModelID = "z-ai/glm-4.7" Model__OrcaRouter__GLM__4__5__Air__4_5 ModelID = "z-ai/glm-4.5-air" Model__OrcaRouter__GLM__5 ModelID = "z-ai/glm-5" Model__OrcaRouter__GLM__5_1 ModelID = "z-ai/glm-5.1" Model__OrcaRouter__GPT__3_5__Turbo ModelID = "openai/gpt-3.5-turbo" Model__OrcaRouter__GPT__4 ModelID = "openai/gpt-4" Model__OrcaRouter__GPT__4_1 ModelID = "openai/gpt-4.1" Model__OrcaRouter__GPT__4__1__Mini__4_1 ModelID = "openai/gpt-4.1-mini" Model__OrcaRouter__GPT__4__1__Nano__4_1 ModelID = "openai/gpt-4.1-nano" Model__OrcaRouter__GPT__4__Turbo ModelID = "openai/gpt-4-turbo" Model__OrcaRouter__GPT__4o ModelID = "openai/gpt-4o" Model__OrcaRouter__GPT__4o__20240513 ModelID = "openai/gpt-4o-2024-05-13" Model__OrcaRouter__GPT__4o__20240806 ModelID = "openai/gpt-4o-2024-08-06" Model__OrcaRouter__GPT__4o__20241120 ModelID = "openai/gpt-4o-2024-11-20" Model__OrcaRouter__GPT__4o__Mini ModelID = "openai/gpt-4o-mini" Model__OrcaRouter__GPT__5 ModelID = "openai/gpt-5" Model__OrcaRouter__GPT__5_1 ModelID = "openai/gpt-5.1" Model__OrcaRouter__GPT__5_1__ChatLatest ModelID = "openai/gpt-5.1-chat-latest" Model__OrcaRouter__GPT__5_2 ModelID = "openai/gpt-5.2" Model__OrcaRouter__GPT__5_2__ChatLatest ModelID = "openai/gpt-5.2-chat-latest" Model__OrcaRouter__GPT__5_3__ChatLatest ModelID = "openai/gpt-5.3-chat-latest" Model__OrcaRouter__GPT__5_4 ModelID = "openai/gpt-5.4" Model__OrcaRouter__GPT__5_5 ModelID = "openai/gpt-5.5" Model__OrcaRouter__GPT__5__1__Codex__5_1 ModelID = "openai/gpt-5.1-codex" Model__OrcaRouter__GPT__5__1__Codex__Max__5_1 ModelID = "openai/gpt-5.1-codex-max" Model__OrcaRouter__GPT__5__1__Codex__Mini__5_1 ModelID = "openai/gpt-5.1-codex-mini" Model__OrcaRouter__GPT__5__2__Codex__5_2 ModelID = "openai/gpt-5.2-codex" Model__OrcaRouter__GPT__5__2__Pro__5_2 ModelID = "openai/gpt-5.2-pro" Model__OrcaRouter__GPT__5__3__Codex__5_3 ModelID = "openai/gpt-5.3-codex" Model__OrcaRouter__GPT__5__4__Mini__5_4 ModelID = "openai/gpt-5.4-mini" Model__OrcaRouter__GPT__5__4__Nano__5_4 ModelID = "openai/gpt-5.4-nano" Model__OrcaRouter__GPT__5__4__Pro__5_4 ModelID = "openai/gpt-5.4-pro" Model__OrcaRouter__GPT__5__5__Pro__5_5 ModelID = "openai/gpt-5.5-pro" Model__OrcaRouter__GPT__5__ChatLatest ModelID = "openai/gpt-5-chat-latest" Model__OrcaRouter__GPT__5__Codex__5 ModelID = "openai/gpt-5-codex" Model__OrcaRouter__GPT__5__Mini__5 ModelID = "openai/gpt-5-mini" Model__OrcaRouter__GPT__5__Nano__5 ModelID = "openai/gpt-5-nano" Model__OrcaRouter__GPT__5__Pro__5 ModelID = "openai/gpt-5-pro" Model__OrcaRouter__Gemini__2__5__Flash__2_5 ModelID = "google/gemini-2.5-flash" Model__OrcaRouter__Gemini__2__5__Flash__Lite__2_5 ModelID = "google/gemini-2.5-flash-lite" Model__OrcaRouter__Gemini__2__5__Pro__2_5 ModelID = "google/gemini-2.5-pro" Model__OrcaRouter__Gemini__3__1__Flash__Lite__3_1__Preview ModelID = "google/gemini-3.1-flash-lite-preview" Model__OrcaRouter__Gemini__3__1__Pro__3_1__Preview ModelID = "google/gemini-3.1-pro-preview" Model__OrcaRouter__Gemini__3__1__Pro__Preview__Customtools__3_1 ModelID = "google/gemini-3.1-pro-preview-customtools" Model__OrcaRouter__Gemini__3__Flash__3__Preview ModelID = "google/gemini-3-flash-preview" Model__OrcaRouter__Gemini__3__Pro__3__Preview ModelID = "google/gemini-3-pro-preview" Model__OrcaRouter__Gemini__Flash__Latest ModelID = "google/gemini-flash-latest" Model__OrcaRouter__Gemini__Flash__Lite__Latest ModelID = "google/gemini-flash-lite-latest" Model__OrcaRouter__Gemma__4__26b__A4b__It__4 ModelID = "google/gemma-4-26b-a4b-it" Model__OrcaRouter__Gemma__4__31b__It__4 ModelID = "google/gemma-4-31b-it" Model__OrcaRouter__Grok__4_3 ModelID = "grok/grok-4.3" Model__OrcaRouter__Kimi__K2__5__2_5 ModelID = "kimi/kimi-k2.5" Model__OrcaRouter__Kimi__K2__6__2_6 ModelID = "kimi/kimi-k2.6" Model__OrcaRouter__MiniMax__M2__5__2_5 ModelID = "minimax/minimax-m2.5" Model__OrcaRouter__MiniMax__M2__5__2_5__Highspeed ModelID = "minimax/minimax-m2.5-highspeed" 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Model__QiniuAI__Grok__4_1__Fast ModelID = "x-ai/grok-4.1-fast" Model__QiniuAI__Grok__4_1__ReasoningFast ModelID = "x-ai/grok-4.1-fast-reasoning" Model__QiniuAI__Grok__4__1__Fast__Non__Reasoning__4_1__Non_Reasoning ModelID = "x-ai/grok-4.1-fast-non-reasoning" Model__QiniuAI__Grok__4__Fast ModelID = "x-ai/grok-4-fast" Model__QiniuAI__Grok__4__Fast__Non__Reasoning__4__Non_Reasoning ModelID = "x-ai/grok-4-fast-non-reasoning" Model__QiniuAI__Grok__4__ReasoningFast ModelID = "x-ai/grok-4-fast-reasoning" Model__QiniuAI__Grok__Code__Fast__1 ModelID = "x-ai/grok-code-fast-1" Model__QiniuAI__Kimi__K2__0905__2 ModelID = "moonshotai/kimi-k2-0905" Model__QiniuAI__Kimi__K2__2 ModelID = "kimi-k2" Model__QiniuAI__Kimi__K2__2__Thinking ModelID = "moonshotai/kimi-k2-thinking" Model__QiniuAI__Kimi__K2__5__2_5 ModelID = "moonshotai/kimi-k2.5" Model__QiniuAI__Kling__V2__6 ModelID = "kling-v2-6" Model__QiniuAI__Longcat__Flash__Chat ModelID = "meituan/longcat-flash-chat" Model__QiniuAI__Longcat__Flash__Lite ModelID = "meituan/longcat-flash-lite" Model__QiniuAI__Mimo__V2__Flash_1 ModelID = "mimo-v2-flash" Model__QiniuAI__Mimo__V2__Flash_2 ModelID = "xiaomi/mimo-v2-flash" Model__QiniuAI__MiniMax__M1__1 ModelID = "MiniMax-M1" Model__QiniuAI__MiniMax__M2__1__2_1 ModelID = "minimax/minimax-m2.1" Model__QiniuAI__MiniMax__M2__2 ModelID = "minimax/minimax-m2" Model__QiniuAI__MiniMax__M2__5__2_5 ModelID = "minimax/minimax-m2.5" Model__QiniuAI__MiniMax__M2__5__2_5__Highspeed ModelID = "minimax/minimax-m2.5-highspeed" Model__QiniuAI__Qwen2__5__Vl__72b__2_5__Instruct ModelID = "qwen2.5-vl-72b-instruct" Model__QiniuAI__Qwen2__5__Vl__7b__2_5__Instruct ModelID = "qwen2.5-vl-7b-instruct" Model__QiniuAI__Qwen3__235b__A22b__3 ModelID = "qwen3-235b-a22b" Model__QiniuAI__Qwen3__235b__A22b__Instruct__2507__3__Instruct ModelID = "qwen3-235b-a22b-instruct-2507" Model__QiniuAI__Qwen3__235b__A22b__Thinking__2507__3__Thinking ModelID = "qwen3-235b-a22b-thinking-2507" Model__QiniuAI__Qwen3__30b__A3b__3 ModelID = 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ModelID = "openai/gpt-5-nano" Model__Requesty__GPT__5__Pro__5 ModelID = "openai/gpt-5-pro" Model__Requesty__Gemini__2__5__Flash__2_5 ModelID = "google/gemini-2.5-flash" Model__Requesty__Gemini__2__5__Pro__2_5 ModelID = "google/gemini-2.5-pro" Model__Requesty__Gemini__3__Flash__3__Preview ModelID = "google/gemini-3-flash-preview" Model__Requesty__Gemini__3__Pro__3__Preview ModelID = "google/gemini-3-pro-preview" Model__Requesty__Grok__4 ModelID = "xai/grok-4" Model__Requesty__Grok__4__Fast ModelID = "xai/grok-4-fast" Model__Requesty__O4__4__Mini ModelID = "openai/o4-mini" Model__RoutingRun__DeepSeek__V3__2 ModelID = "route/deepseek-v3.2" Model__RoutingRun__DeepSeek__V4__Flash ModelID = "route/deepseek-v4-flash" Model__RoutingRun__DeepSeek__V4__Flash__6bit ModelID = "route/deepseek-v4-flash-6bit" Model__RoutingRun__DeepSeek__V4__Pro__6bit__Thinking ModelID = "route/deepseek-v4-pro-6bit" Model__RoutingRun__DeepSeek__V4__Pro__Thinking ModelID = "route/deepseek-v4-pro" Model__RoutingRun__GLM__5_1 ModelID = "route/glm-5.1" Model__RoutingRun__GLM__5__1__6bit__5_1 ModelID = "route/glm-5.1-6bit" Model__RoutingRun__Gemma__4__31b__It__4 ModelID = "route/gemma-4-31b-it" Model__RoutingRun__Kimi__K2__5__2_5 ModelID = "route/kimi-k2.5" Model__RoutingRun__Kimi__K2__6__2_6 ModelID = "route/kimi-k2.6" Model__RoutingRun__Kimi__K2__6__6bit ModelID = "route/kimi-k2.6-6bit" Model__RoutingRun__Mimo__V2__5__2_5 ModelID = "route/mimo-v2.5" Model__RoutingRun__Mimo__V2__5__2_5__Pro ModelID = "route/mimo-v2.5-pro" Model__RoutingRun__Mimo__V2__5__Pro__6bit ModelID = "route/mimo-v2.5-pro-6bit" Model__RoutingRun__MiniMax__M2__5__2_5 ModelID = "route/minimax-m2.5" Model__RoutingRun__MiniMax__M2__5__2_5__Highspeed ModelID = "route/minimax-m2.5-highspeed" Model__RoutingRun__MiniMax__M2__7__2_7 ModelID = "route/minimax-m2.7" Model__RoutingRun__MiniMax__M2__7__2_7__Highspeed ModelID = "route/minimax-m2.7-highspeed" Model__RoutingRun__Mistral__Large__3 ModelID = 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Model__SAPAICore__GPT__5__Nano__5 ModelID = "gpt-5-nano" Model__SAPAICore__Gemini__2__5__Flash__2_5 ModelID = "gemini-2.5-flash" Model__SAPAICore__Gemini__2__5__Flash__Lite__2_5 ModelID = "gemini-2.5-flash-lite" Model__SAPAICore__Gemini__2__5__Pro__2_5 ModelID = "gemini-2.5-pro" Model__SAPAICore__Sonar ModelID = "sonar" Model__SAPAICore__Sonar__Deep__Research ModelID = "sonar-deep-research" Model__SAPAICore__Sonar__Pro ModelID = "sonar-pro" Model__STACKIT__E5__Mistral__7b__Instruct ModelID = "intfloat/e5-mistral-7b-instruct" Model__STACKIT__GPT__Oss__120b ModelID = "openai/gpt-oss-120b" Model__STACKIT__Gemma__3__27b__It__3 ModelID = "google/gemma-3-27b-it" Model__STACKIT__Llama__3__3__70B__Instruct__Fp8__Dynamic__3_3__Instruct ModelID = "cortecs/Llama-3.3-70B-Instruct-FP8-Dynamic" Model__STACKIT__Meta__Llama__3__1__8B__Instruct__Fp8__3_1__Instruct ModelID = "neuralmagic/Meta-Llama-3.1-8B-Instruct-FP8" Model__STACKIT__Mistral__Nemo__Instruct__2407__Fp8__Instruct ModelID = 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Model__Vercel__Qwen3__Max__3 ModelID = "alibaba/qwen3-max" Model__Vercel__Qwen3__Max__3__Preview ModelID = "alibaba/qwen3-max-preview" Model__Vercel__Qwen3__Max__3__Thinking ModelID = "alibaba/qwen3-max-thinking" Model__Vercel__Qwen3__Next__80b__A3b__3__Instruct ModelID = "alibaba/qwen3-next-80b-a3b-instruct" Model__Vercel__Qwen3__Next__80b__A3b__3__Thinking ModelID = "alibaba/qwen3-next-80b-a3b-thinking" Model__Vercel__Qwen3__Vl__235b__A22b__3__Instruct ModelID = "alibaba/qwen3-vl-235b-a22b-instruct" Model__Vercel__Qwen3__Vl__3__Instruct ModelID = "alibaba/qwen3-vl-instruct" Model__Vercel__Qwen3__Vl__3__Thinking ModelID = "alibaba/qwen3-vl-thinking" Model__Vercel__Qwen__3__14b__3 ModelID = "alibaba/qwen-3-14b" Model__Vercel__Qwen__3__235b__3 ModelID = "alibaba/qwen-3-235b" Model__Vercel__Qwen__3__30b__3 ModelID = "alibaba/qwen-3-30b" Model__Vercel__Qwen__3__32b__3 ModelID = "alibaba/qwen-3-32b" Model__Vercel__Qwen__3__6__Max__3_6__Preview ModelID = "alibaba/qwen-3.6-max-preview" Model__Vercel__Recraft__V2 ModelID = "recraft/recraft-v2" Model__Vercel__Recraft__V3 ModelID = "recraft/recraft-v3" Model__Vercel__Seed__1_6 ModelID = "bytedance/seed-1.6" Model__Vercel__Seed__1_8 ModelID = "bytedance/seed-1.8" Model__Vercel__Sonar ModelID = "perplexity/sonar" Model__Vercel__Sonar__Pro ModelID = "perplexity/sonar-pro" Model__Vercel__Sonar__Reasoning ModelID = "perplexity/sonar-reasoning" Model__Vercel__Sonar__Reasoning__Pro ModelID = "perplexity/sonar-reasoning-pro" Model__Vercel__Text__Embedding__005 ModelID = "google/text-embedding-005" Model__Vercel__Text__Embedding__3__Large__3 ModelID = "openai/text-embedding-3-large" Model__Vercel__Text__Embedding__3__Small__3 ModelID = "openai/text-embedding-3-small" Model__Vercel__Text__Embedding__Ada__002 ModelID = "openai/text-embedding-ada-002" Model__Vercel__Text__Multilingual__Embedding__002 ModelID = "google/text-multilingual-embedding-002" Model__Vercel__Titan__Embed__Text__V2 ModelID = "amazon/titan-embed-text-v2" Model__Vercel__Trinity__Large__Preview ModelID = "arcee-ai/trinity-large-preview" Model__Vercel__Trinity__Large__Thinking ModelID = "arcee-ai/trinity-large-thinking" Model__Vercel__Trinity__Mini ModelID = "arcee-ai/trinity-mini" Model__Vercel__V0__1__0__Md__1_0 ModelID = "vercel/v0-1.0-md" Model__Vercel__V0__1__5__Md__1_5 ModelID = "vercel/v0-1.5-md" Model__Vercel__Voyage__3_5 ModelID = "voyage/voyage-3.5" Model__Vercel__Voyage__3__5__Lite__3_5 ModelID = "voyage/voyage-3.5-lite" Model__Vercel__Voyage__3__Large__3 ModelID = "voyage/voyage-3-large" Model__Vercel__Voyage__4 ModelID = "voyage/voyage-4" Model__Vercel__Voyage__4__Large__4 ModelID = "voyage/voyage-4-large" Model__Vercel__Voyage__4__Lite__4 ModelID = "voyage/voyage-4-lite" Model__Vercel__Voyage__Code__2 ModelID = "voyage/voyage-code-2" Model__Vercel__Voyage__Code__3 ModelID = "voyage/voyage-code-3" Model__Vercel__Voyage__Finance__2 ModelID = "voyage/voyage-finance-2" Model__Vercel__Voyage__Law__2 ModelID = 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Model__Wandb__GPT__Oss__20b ModelID = "openai/gpt-oss-20b" Model__Wandb__Kimi__K2__5__2_5 ModelID = "moonshotai/Kimi-K2.5" Model__Wandb__Llama__3__1__70B__3_1__Instruct ModelID = "meta-llama/Llama-3.1-70B-Instruct" Model__Wandb__Llama__3__1__8B__3_1__Instruct ModelID = "meta-llama/Llama-3.1-8B-Instruct" Model__Wandb__Llama__3__3__70B__3_3__Instruct ModelID = "meta-llama/Llama-3.3-70B-Instruct" Model__Wandb__Llama__4__Scout__17B__16E__4__Instruct ModelID = "meta-llama/Llama-4-Scout-17B-16E-Instruct" Model__Wandb__MiniMax__M2__5__2_5 ModelID = "MiniMaxAI/MiniMax-M2.5" Model__Wandb__Nvidia__Nemotron__3__Super__120B__A12b__Fp8 ModelID = "nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8" Model__Wandb__Phi__4__Mini__4__Instruct ModelID = "microsoft/Phi-4-mini-instruct" Model__Wandb__Qwen3__14B__3__Instruct ModelID = "OpenPipe/Qwen3-14B-Instruct" Model__Wandb__Qwen3__235B__A22b__Instruct__2507__3__Instruct ModelID = "Qwen/Qwen3-235B-A22B-Instruct-2507" Model__Wandb__Qwen3__235B__A22b__Thinking__2507__3__Thinking ModelID = "Qwen/Qwen3-235B-A22B-Thinking-2507" Model__Wandb__Qwen3__30B__A3b__Instruct__2507__3__Instruct ModelID = "Qwen/Qwen3-30B-A3B-Instruct-2507" Model__Wandb__Qwen3__Coder__480B__A35b__3__Instruct ModelID = "Qwen/Qwen3-Coder-480B-A35B-Instruct" Model__XiaomiTokenPlanAMS__Mimo__V2__2__Omni ModelID = "mimo-v2-omni" Model__XiaomiTokenPlanAMS__Mimo__V2__2__Pro ModelID = "mimo-v2-pro" Model__XiaomiTokenPlanAMS__Mimo__V2__5__2_5 ModelID = "mimo-v2.5" Model__XiaomiTokenPlanAMS__Mimo__V2__5__2_5__Pro ModelID = "mimo-v2.5-pro" Model__XiaomiTokenPlanAMS__Mimo__V2__5__Tts ModelID = "mimo-v2.5-tts" Model__XiaomiTokenPlanAMS__Mimo__V2__5__Tts__Voiceclone ModelID = "mimo-v2.5-tts-voiceclone" Model__XiaomiTokenPlanAMS__Mimo__V2__5__Tts__Voicedesign ModelID = "mimo-v2.5-tts-voicedesign" Model__XiaomiTokenPlanAMS__Mimo__V2__Tts ModelID = "mimo-v2-tts" Model__XiaomiTokenPlanCN__Mimo__V2__2__Omni ModelID = "mimo-v2-omni" Model__XiaomiTokenPlanCN__Mimo__V2__2__Pro ModelID = "mimo-v2-pro" Model__XiaomiTokenPlanCN__Mimo__V2__5__2_5 ModelID = "mimo-v2.5" Model__XiaomiTokenPlanCN__Mimo__V2__5__2_5__Pro ModelID = "mimo-v2.5-pro" Model__XiaomiTokenPlanCN__Mimo__V2__5__Tts ModelID = "mimo-v2.5-tts" Model__XiaomiTokenPlanCN__Mimo__V2__5__Tts__Voiceclone ModelID = "mimo-v2.5-tts-voiceclone" Model__XiaomiTokenPlanCN__Mimo__V2__5__Tts__Voicedesign ModelID = "mimo-v2.5-tts-voicedesign" Model__XiaomiTokenPlanCN__Mimo__V2__Tts ModelID = "mimo-v2-tts" Model__XiaomiTokenPlanSGP__Mimo__V2__2__Omni ModelID = "mimo-v2-omni" Model__XiaomiTokenPlanSGP__Mimo__V2__2__Pro ModelID = "mimo-v2-pro" Model__XiaomiTokenPlanSGP__Mimo__V2__5__2_5 ModelID = "mimo-v2.5" Model__XiaomiTokenPlanSGP__Mimo__V2__5__2_5__Pro ModelID = "mimo-v2.5-pro" Model__XiaomiTokenPlanSGP__Mimo__V2__5__Tts ModelID = "mimo-v2.5-tts" Model__XiaomiTokenPlanSGP__Mimo__V2__5__Tts__Voiceclone ModelID = "mimo-v2.5-tts-voiceclone" Model__XiaomiTokenPlanSGP__Mimo__V2__5__Tts__Voicedesign ModelID = "mimo-v2.5-tts-voicedesign" Model__XiaomiTokenPlanSGP__Mimo__V2__Tts ModelID = "mimo-v2-tts" Model__Xiaomi__Mimo__V2__2__Omni ModelID = "mimo-v2-omni" Model__Xiaomi__Mimo__V2__2__Pro ModelID = "mimo-v2-pro" Model__Xiaomi__Mimo__V2__5__2_5 ModelID = "mimo-v2.5" Model__Xiaomi__Mimo__V2__5__2_5__Pro ModelID = "mimo-v2.5-pro" Model__Xiaomi__Mimo__V2__Flash ModelID = "mimo-v2-flash" Model__Xpersona__Xpersona__Frieren__Coder ModelID = "xpersona-frieren-coder" Model__ZaiCodingPlan__GLM__4_7 ModelID = "glm-4.7" Model__ZaiCodingPlan__GLM__4__5__Air__4_5 ModelID = "glm-4.5-air" Model__ZaiCodingPlan__GLM__5_1 ModelID = "glm-5.1" Model__ZaiCodingPlan__GLM__5__Turbo ModelID = "glm-5-turbo" Model__ZaiCodingPlan__GLM__5v__5__Turbo ModelID = "glm-5v-turbo" Model__Zai__GLM__4_5 ModelID = "glm-4.5" Model__Zai__GLM__4_6 ModelID = "glm-4.6" Model__Zai__GLM__4_7 ModelID = "glm-4.7" Model__Zai__GLM__4__5__Air__4_5 ModelID = "glm-4.5-air" Model__Zai__GLM__4__5__Flash__4_5 ModelID = "glm-4.5-flash" Model__Zai__GLM__4__5v__4_5 ModelID = "glm-4.5v" Model__Zai__GLM__4__6v__4_6 ModelID = "glm-4.6v" Model__Zai__GLM__4__7__Flash__4_7 ModelID = "glm-4.7-flash" Model__Zai__GLM__4__7__Flashx__4_7 ModelID = "glm-4.7-flashx" Model__Zai__GLM__5 ModelID = "glm-5" Model__Zai__GLM__5_1 ModelID = "glm-5.1" Model__Zai__GLM__5__Turbo ModelID = "glm-5-turbo" Model__Zai__GLM__5v__5__Turbo ModelID = "glm-5v-turbo" Model__ZenMux__Agnes__1__5__Lite__1_5 ModelID = "sapiens-ai/agnes-1.5-lite" Model__ZenMux__Agnes__1__5__Pro__1_5 ModelID = "sapiens-ai/agnes-1.5-pro" Model__ZenMux__Claude__3__5__Haiku__3_5 ModelID = "anthropic/claude-3.5-haiku" Model__ZenMux__Claude__3__7__Sonnet__3_7 ModelID = "anthropic/claude-3.7-sonnet" Model__ZenMux__Claude__Haiku__4_5 ModelID = "anthropic/claude-haiku-4.5" Model__ZenMux__Claude__Opus__4 ModelID = "anthropic/claude-opus-4" Model__ZenMux__Claude__Opus__4_1 ModelID = "anthropic/claude-opus-4.1" Model__ZenMux__Claude__Opus__4_5 ModelID = "anthropic/claude-opus-4.5" Model__ZenMux__Claude__Opus__4_6 ModelID = "anthropic/claude-opus-4.6" Model__ZenMux__Claude__Opus__4_7 ModelID = "anthropic/claude-opus-4.7" Model__ZenMux__Claude__Sonnet__4 ModelID = "anthropic/claude-sonnet-4" Model__ZenMux__Claude__Sonnet__4_5 ModelID = "anthropic/claude-sonnet-4.5" Model__ZenMux__Claude__Sonnet__4_6 ModelID = "anthropic/claude-sonnet-4.6" Model__ZenMux__DeepSeek__Chat ModelID = "deepseek/deepseek-chat" Model__ZenMux__DeepSeek__V3__2 ModelID = "deepseek/deepseek-v3.2" Model__ZenMux__DeepSeek__V3__2__Exp ModelID = "deepseek/deepseek-v3.2-exp" Model__ZenMux__DeepSeek__V4__Flash ModelID = "deepseek/deepseek-v4-flash" Model__ZenMux__DeepSeek__V4__Pro__Thinking ModelID = "deepseek/deepseek-v4-pro" Model__ZenMux__Doubao__Seed__1_8 ModelID = "volcengine/doubao-seed-1.8" Model__ZenMux__Doubao__Seed__2_0__Code ModelID = "volcengine/doubao-seed-2.0-code" Model__ZenMux__Doubao__Seed__2__0__Lite__2_0 ModelID = "volcengine/doubao-seed-2.0-lite" Model__ZenMux__Doubao__Seed__2__0__Mini__2_0 ModelID = "volcengine/doubao-seed-2.0-mini" Model__ZenMux__Doubao__Seed__2__0__Pro__2_0 ModelID = "volcengine/doubao-seed-2.0-pro" Model__ZenMux__Doubao__Seed__Code ModelID = "volcengine/doubao-seed-code" Model__ZenMux__Ernie__5_0__ThinkingPreview ModelID = "baidu/ernie-5.0-thinking-preview" Model__ZenMux__GLM__4_5 ModelID = "z-ai/glm-4.5" Model__ZenMux__GLM__4_6 ModelID = "z-ai/glm-4.6" Model__ZenMux__GLM__4_7 ModelID = "z-ai/glm-4.7" Model__ZenMux__GLM__4__5__Air__4_5 ModelID = "z-ai/glm-4.5-air" Model__ZenMux__GLM__4__6v__4_6 ModelID = "z-ai/glm-4.6v" Model__ZenMux__GLM__4__6v__4_6__Flash ModelID = "z-ai/glm-4.6v-flash" Model__ZenMux__GLM__4__6v__Flash__Free__4_6__Flash ModelID = "z-ai/glm-4.6v-flash-free" Model__ZenMux__GLM__4__7__Flash__Free__4_7 ModelID = "z-ai/glm-4.7-flash-free" Model__ZenMux__GLM__4__7__Flashx__4_7 ModelID = "z-ai/glm-4.7-flashx" Model__ZenMux__GLM__5 ModelID = "z-ai/glm-5" Model__ZenMux__GLM__5_1 ModelID = "z-ai/glm-5.1" Model__ZenMux__GLM__5__Turbo ModelID = "z-ai/glm-5-turbo" Model__ZenMux__GLM__5v__5__Turbo ModelID = "z-ai/glm-5v-turbo" Model__ZenMux__GPT__5 ModelID = "openai/gpt-5" Model__ZenMux__GPT__5_1 ModelID = "openai/gpt-5.1" Model__ZenMux__GPT__5_1__Chat ModelID = "openai/gpt-5.1-chat" Model__ZenMux__GPT__5_2 ModelID = "openai/gpt-5.2" Model__ZenMux__GPT__5_3__Chat ModelID = "openai/gpt-5.3-chat" Model__ZenMux__GPT__5_4 ModelID = "openai/gpt-5.4" Model__ZenMux__GPT__5_5 ModelID = "openai/gpt-5.5" Model__ZenMux__GPT__5__1__Codex__5_1 ModelID = "openai/gpt-5.1-codex" Model__ZenMux__GPT__5__1__Codex__Mini__5_1 ModelID = "openai/gpt-5.1-codex-mini" Model__ZenMux__GPT__5__2__Codex__5_2 ModelID = "openai/gpt-5.2-codex" Model__ZenMux__GPT__5__2__Pro__5_2 ModelID = "openai/gpt-5.2-pro" Model__ZenMux__GPT__5__3__Codex__5_3 ModelID = "openai/gpt-5.3-codex" Model__ZenMux__GPT__5__4__Mini__5_4 ModelID = "openai/gpt-5.4-mini" Model__ZenMux__GPT__5__4__Nano__5_4 ModelID = "openai/gpt-5.4-nano" Model__ZenMux__GPT__5__4__Pro__5_4 ModelID = "openai/gpt-5.4-pro" Model__ZenMux__GPT__5__5__Pro__5_5 ModelID = "openai/gpt-5.5-pro" Model__ZenMux__GPT__5__Codex__5 ModelID = "openai/gpt-5-codex" Model__ZenMux__Gemini__2__5__Flash__2_5 ModelID = "google/gemini-2.5-flash" Model__ZenMux__Gemini__2__5__Flash__Lite__2_5 ModelID = "google/gemini-2.5-flash-lite" Model__ZenMux__Gemini__2__5__Pro__2_5 ModelID = "google/gemini-2.5-pro" Model__ZenMux__Gemini__3__1__Flash__Lite__3_1__Preview ModelID = "google/gemini-3.1-flash-lite-preview" Model__ZenMux__Gemini__3__1__Pro__3_1__Preview ModelID = "google/gemini-3.1-pro-preview" Model__ZenMux__Gemini__3__Flash__3__Preview ModelID = "google/gemini-3-flash-preview" Model__ZenMux__Grok__4 ModelID = "x-ai/grok-4" Model__ZenMux__Grok__4_1__Fast ModelID = "x-ai/grok-4.1-fast" Model__ZenMux__Grok__4_2__Fast ModelID = "x-ai/grok-4.2-fast" Model__ZenMux__Grok__4__1__Fast__Non__Reasoning__4_1__Non_Reasoning ModelID = "x-ai/grok-4.1-fast-non-reasoning" Model__ZenMux__Grok__4__2__Fast__Non__Reasoning__4_2__Non_Reasoning ModelID = "x-ai/grok-4.2-fast-non-reasoning" Model__ZenMux__Grok__4__Fast ModelID = "x-ai/grok-4-fast" Model__ZenMux__Grok__Code__Fast__1 ModelID = "x-ai/grok-code-fast-1" Model__ZenMux__Hy3__3__Preview ModelID = "tencent/hy3-preview" Model__ZenMux__Kat__Coder__Pro__V2 ModelID = "kuaishou/kat-coder-pro-v2" Model__ZenMux__Kimi__K2__0905__2 ModelID = "moonshotai/kimi-k2-0905" Model__ZenMux__Kimi__K2__2__Thinking ModelID = "moonshotai/kimi-k2-thinking" Model__ZenMux__Kimi__K2__2__ThinkingTurbo ModelID = "moonshotai/kimi-k2-thinking-turbo" Model__ZenMux__Kimi__K2__5__2_5 ModelID = "moonshotai/kimi-k2.5" Model__ZenMux__Kimi__K2__6__2_6 ModelID = "moonshotai/kimi-k2.6" Model__ZenMux__Ling__1t ModelID = "inclusionai/ling-1t" Model__ZenMux__Mimo__V2__2__Omni ModelID = "xiaomi/mimo-v2-omni" Model__ZenMux__Mimo__V2__2__Pro ModelID = "xiaomi/mimo-v2-pro" Model__ZenMux__Mimo__V2__5__2_5 ModelID = "xiaomi/mimo-v2.5" Model__ZenMux__Mimo__V2__5__2_5__Pro ModelID = "xiaomi/mimo-v2.5-pro" Model__ZenMux__Mimo__V2__Flash ModelID = "xiaomi/mimo-v2-flash" Model__ZenMux__MiniMax__M2__1__2_1 ModelID = "minimax/minimax-m2.1" Model__ZenMux__MiniMax__M2__2 ModelID = "minimax/minimax-m2" Model__ZenMux__MiniMax__M2__5__2_5 ModelID = "minimax/minimax-m2.5" Model__ZenMux__MiniMax__M2__5__2_5__Lightning ModelID = "minimax/minimax-m2.5-lightning" Model__ZenMux__MiniMax__M2__7__2_7 ModelID = "minimax/minimax-m2.7" Model__ZenMux__MiniMax__M2__7__2_7__Highspeed ModelID = "minimax/minimax-m2.7-highspeed" Model__ZenMux__Qwen3__5__Flash__3_5 ModelID = "qwen/qwen3.5-flash" Model__ZenMux__Qwen3__5__Plus__3_5 ModelID = "qwen/qwen3.5-plus" Model__ZenMux__Qwen3__6__Plus__3_6 ModelID = "qwen/qwen3.6-plus" Model__ZenMux__Qwen3__Coder__Plus__3 ModelID = "qwen/qwen3-coder-plus" Model__ZenMux__Qwen3__Max__3 ModelID = "qwen/qwen3-max" Model__ZenMux__Ring__1t ModelID = "inclusionai/ring-1t" Model__ZenMux__Step__3 ModelID = "stepfun/step-3" Model__ZenMux__Step__3__5__Flash__3_5 ModelID = "stepfun/step-3.5-flash" Model__ZenMux__Step__3__5__Flash__Free__3_5 ModelID = "stepfun/step-3.5-flash-free" Model__ZhipuaiCodingPlan__GLM__4_7 ModelID = "glm-4.7" Model__ZhipuaiCodingPlan__GLM__4__5__Air__4_5 ModelID = "glm-4.5-air" Model__ZhipuaiCodingPlan__GLM__5_1 ModelID = "glm-5.1" Model__ZhipuaiCodingPlan__GLM__5__Turbo ModelID = "glm-5-turbo" Model__ZhipuaiCodingPlan__GLM__5v__5__Turbo ModelID = "glm-5v-turbo" Model__Zhipuai__GLM__4_5 ModelID = "glm-4.5" Model__Zhipuai__GLM__4_6 ModelID = "glm-4.6" Model__Zhipuai__GLM__4_7 ModelID = "glm-4.7" Model__Zhipuai__GLM__4__5__Air__4_5 ModelID = "glm-4.5-air" Model__Zhipuai__GLM__4__5__Flash__4_5 ModelID = "glm-4.5-flash" Model__Zhipuai__GLM__4__5v__4_5 ModelID = "glm-4.5v" Model__Zhipuai__GLM__4__6v__4_6 ModelID = "glm-4.6v" Model__Zhipuai__GLM__4__7__Flash__4_7 ModelID = "glm-4.7-flash" Model__Zhipuai__GLM__4__7__Flashx__4_7 ModelID = "glm-4.7-flashx" Model__Zhipuai__GLM__5 ModelID = "glm-5" Model__Zhipuai__GLM__5_1 ModelID = "glm-5.1" Model__Zhipuai__GLM__5v__5__Turbo ModelID = "glm-5v-turbo" Model__iFlowCN__DeepSeek__R1__Thinking ModelID = "deepseek-r1" Model__iFlowCN__DeepSeek__V3 ModelID = "deepseek-v3" Model__iFlowCN__DeepSeek__V3__2 ModelID = "deepseek-v3.2" Model__iFlowCN__GLM__4_6 ModelID = "glm-4.6" Model__iFlowCN__Kimi__K2__0905__2 ModelID = "kimi-k2-0905" Model__iFlowCN__Kimi__K2__2 ModelID = "kimi-k2" Model__iFlowCN__Qwen3__235b__3 ModelID = "qwen3-235b" Model__iFlowCN__Qwen3__235b__A22b__3__Instruct ModelID = "qwen3-235b-a22b-instruct" Model__iFlowCN__Qwen3__235b__A22b__Thinking__2507__3__Thinking ModelID = "qwen3-235b-a22b-thinking-2507" Model__iFlowCN__Qwen3__32b__3 ModelID = "qwen3-32b" Model__iFlowCN__Qwen3__Coder__Plus__3 ModelID = "qwen3-coder-plus" Model__iFlowCN__Qwen3__Max__3 ModelID = "qwen3-max" Model__iFlowCN__Qwen3__Max__3__Preview ModelID = "qwen3-max-preview" Model__iFlowCN__Qwen3__Vl__Plus__3 ModelID = "qwen3-vl-plus" Model__xAI__Grok__4_3 ModelID = "grok-4.3" Model__xAI__Grok__4__20__0309__4_20__Reasoning ModelID = "grok-4.20-0309-reasoning" Model__xAI__Grok__4__20__0309__Non__Reasoning__4_20__Non_Reasoning ModelID = "grok-4.20-0309-non-reasoning" Model__xAI__Grok__4__20__Multi__Agent__0309__4_20 ModelID = "grok-4.20-multi-agent-0309" Model__xAI__Grok__Build__0_1 ModelID = "grok-build-0.1" Model__xAI__Grok__Imagine__Image ModelID = "grok-imagine-image" Model__xAI__Grok__Imagine__Image__Quality ModelID = "grok-imagine-image-quality" Model__xAI__Grok__Imagine__Video ModelID = "grok-imagine-video" )
Model__* constants provide compile-time references to every eligible model in the static model registry. Names follow the pattern:
Model__<Provider>__<Family>__<Variant>?__<Version>?__<Date>?
where each component uses the same casing rules as Provider and Family constants. Double underscores separate top-level components; single underscores appear only within a component (e.g. version "4.5" → "4_5", "4o" stays "4o" within a component).
func ModelIDs ¶
func ModelIDs() []ModelID
ModelIDs returns the canonical Model_<...> constant values from the codegen pipeline. The name diverges from the original spec (Models() []ModelID) to avoid clashing with registry.go:Models() []ModelInfo.
The returned slice is a defensive copy; mutating it does not affect future calls. See Models() in registry.go for the full ModelInfo slice (metadata + constants).
type ModelInfo ¶
type ModelInfo struct {
ID ModelID
Provider Provider
DisplayName string
RawFamily Family // raw API family field verbatim (e.g. "claude-opus")
// Family is the canonical family identifier extracted from RawFamily
// (or inferred from ID when RawFamily is empty). Populated at codegen time.
Family Family
// Variant is the variant suffix extracted from RawFamily (e.g. "opus",
// "pro", "flash-lite"). Empty when the model has no variant. Populated at codegen time.
Variant string
// Version is the model version extracted from the model ID
// (primary source, e.g. "claude-opus-4-5-20251101" → "4.5") or, when the
// family string itself carries a version component, from the family string
// (fallback, e.g. "gemini-2.5-flash" → "2.5"). Empty when no separable
// version is found. Populated at codegen time.
Version string
// Date is the release date extracted from the model ID or ReleaseDate
// field, in YYYY-MM-DD format. Empty when no date is found. Populated at codegen time.
Date string
// Modifier is the LIST of known trailing tokens extracted from the model ID
// that carry semantic meaning beyond family/variant/version/date (e.g.
// ["thinking"], ["vision", "instruct"]). nil when no known modifier is found.
// The list is stored in deterministic CANONICAL ORDER (see CanonicalizeModifiers
// in modifier.go): capability > speed > format/stage, with an alphabetical
// fallback. Populated by the parse pipeline at codegen time.
// widened string → []string for lossless
// multi-modifier capture (kimi-k2-thinking-turbo → [thinking, turbo]).
Modifier []string
ContextWindow int
MaxOutput int
Reasoning bool
ToolCall bool
Attachment bool
Temperature bool
StructuredOutput bool
Interleaved Capability
OpenWeights bool
CostInputPerMTok *float64
CostOutputPerMTok *float64
CostReasoningPerMTok *float64
CostCacheReadPerMTok *float64
CostCacheWritePerMTok *float64
ReleaseDate string
Knowledge string
Modalities Modalities
// Host is the serving host / backend infrastructure that runs this model
// instance, distinct from Provider. It is a per-instance ATTRIBUTE and never
// participates in entity identity. HostNone (zero value) when unknown or when
// the provider serves the model directly. Populated by the host-split slice.
Host Host
// Lineage is the set of derivation edges from this model to its parent
// model(s) (finetune, merge, distillation, …). nil when the model is a base
// model or no curated lineage is known. Populated at codegen time from the
// curated lineage table by the lineage slice.
Lineage []LineageEdge
LastSynced string // RFC3339
}
ModelInfo holds metadata for a single AI model as returned by the models.dev API.
Canonical fields (Family, Variant, Version, Date) are populated at codegen time by the bestiary-gen tool invoking bestiary.ParseFamily, bestiary.ExtractDate, and bestiary.InferFamilyFromID. They are zero-value for models loaded from the SQLite cache (pre-normalization epoch) until a sync is performed.
RawFamily is the raw API family value verbatim (e.g. "claude-opus", "gemini-flash"). Family is the canonical/normalized family (e.g. "claude", "gemini").
func LookupModel ¶
LookupModel searches the static registry for a model by its ID. It returns the model and true if found, or the zero value and false otherwise.
func LookupModelByProvider ¶
LookupModelByProvider searches the static registry for a model matching both the given provider and name (model ID string). It returns the model and true if found, or the zero value and false otherwise.
func MergeModels ¶
MergeModels merges static and cached model lists. Deduplicates by (ModelID, Provider) pair. When both sources have the same (ID, Provider), the entry with the more recent LastSynced timestamp wins. Models with the same ID but different providers are kept as distinct entries. Since LastSynced uses RFC3339 UTC format, lexicographic string comparison correctly determines recency.
func Models ¶
func Models() []ModelInfo
Models returns all available models. It delegates to StaticModels and returns a defensive copy so callers cannot mutate the registry. This is the preferred API for external callers; StaticModels is an implementation detail.
See ModelIDs() (in models_constants_gen.go) for the canonical Model_* constant slice.
func ModelsByFamily ¶
ModelsByFamily returns all static models with the given raw API family string. The family parameter matches the RawFamily field (verbatim API value, e.g. "claude-opus", "gemini-flash").
func ModelsByProvider ¶
ModelsByProvider returns all static models from the given provider.
func StaticModels ¶
func StaticModels() []ModelInfo
StaticModels returns a defensive copy of the compiled-in model data. Modifying the returned slice does not affect the registry.
type ModelRef ¶
type ModelRef struct {
ID ModelID // Original API model ID (e.g. "claude-opus-4-20250514")
Provider Provider // Hosting provider
RawFamily Family // API family field verbatim (e.g., "claude-opus")
Family Family // Canonical family (e.g., "claude"); empty if not yet normalized
Variant string // Canonical variant (e.g., "opus"); empty if no variant
Version string // Model version extracted from family (e.g., "4.5", "2.5"); empty if none
Date string // Release date in YYYY-MM-DD format; empty if none
Modifier []string // Known trailing tokens in canonical order (e.g., ["vision","instruct"]); nil if none
Host Host // Serving host/backend (per-instance attribute, never part of identity); HostNone if unknown
}
ModelRef represents the canonical identity of a model.
The 8-field tuple (ID, Provider, RawFamily, Family, Variant, Version, Date, Modifier) is the stable anchor for cross-provider queries, canonical formatting, and the normalization pipeline. ID is the original API model identifier (e.g. "claude-opus-4-20250514"). Family, Variant, Version, and Modifier are populated at codegen time by the normalization pipeline in cmd/bestiary-gen.
func Resolve ¶
func Resolve(input string, opts ...ResolveOption) ([]ModelRef, error)
Resolve returns the set of ModelRefs that match the given input string.
Disambiguation rule ¶
Cross-provider hosting: if all matches share the same Canonical triple (Family, Variant, Date) — meaning the same conceptual model is hosted by multiple providers — Resolve returns a non-nil []ModelRef with err == nil. The caller can iterate by Provider.
Multiple distinct canonicals: if the input matches models that resolve to two or more distinct Canonical triples (e.g., "claude" matches claude/opus, claude/sonnet, and claude/haiku), Resolve returns nil, *ErrAmbiguous with the candidate list. The caller should refine the input or use WithScheme(SchemeRaw) with an exact API model ID.
Zero matches: returns nil, *ErrNotFound.
Scheme auto-detection ¶
- "pkg:huggingface/<provider>/<id>" → SchemePURL: strip prefix, apply provider filter
- "<family>/<variant>[@date]" or multi-segment form with "@" or versioned token → SchemeCanonical
- "<provider>/<id>" (two slash segments, no "pkg:" prefix, no canonical signals) → SchemeHuggingFace: strip provider prefix, match raw ID
- Otherwise → SchemeRaw: exact model ID match
Bare-family fallback: when SchemeRaw produces zero matches and the input contains no slashes or special characters, Resolve retries with SchemeCanonical family-only matching. If multiple distinct canonical triples match, *ErrAmbiguous is returned. If a single group matches, refs are returned. This surfaces *ErrAmbiguous for inputs like "claude" instead of ErrNotFound.
Variant-aware bare-family fallback: when the Family-exact retry also yields zero matches and the bare input is a hyphenated "<family>-<variant>" shorthand whose leading token is a registered Family and trailing token names a Variant within it (e.g. "claude-opus"), Resolve matches that variant group and returns *ErrAmbiguous with the variant's candidates. See matchBareFamilyVariant for the conservative matching rule.
Use WithScheme to override auto-detection.
func (ModelRef) Designations ¶
func (r ModelRef) Designations() []Designation
Designations returns all string designations for this ModelRef. Every designation carries AcceptabilityAdmitted in this epoch. Promotion to Preferred is deferred to a follow-up curation epoch.
The returned slice contains:
- A SchemeRaw designation using the original API model ID.
- A SchemeCanonical designation (the canonical slash-separated form).
- A SchemeHuggingFace designation.
- A SchemePURL designation.
func (ModelRef) Format ¶
func (r ModelRef) Format(s CanonicalScheme) string
Format serializes the ModelRef according to the given CanonicalScheme.
- SchemeCanonical: "<provider>/<family>/<variant>@<date>" — the variant segment is included only when non-empty; the "@<date>" suffix is included only when date is non-empty. Falls back to "<provider>/<raw-id>" when both Family and Variant are empty (e.g., provider-specific representation).
- SchemeHuggingFace: "<provider>/<raw-id>" (HuggingFace Hub form).
- SchemePURL: "pkg:huggingface/<provider>/<raw-id>" (purl-spec + ECMA-427).
- SchemeRaw: string(r.ID) — the original API model identifier verbatim.
type ModifierClass ¶ added in v0.2.3
type ModifierClass int
ModifierClass partitions a trailing model-ID modifier token (e.g. "instruct", "thinking", "turbo") into one of two roles relative to model IDENTITY:
- ModifierClassIdentity: the modifier distinguishes a genuinely different model artifact (different weights/behavior), so it is PART of the entity key. Example: "instruct" — meta/llama@3.1{instruct} is a distinct entity from meta/llama@3.1. Identity modifiers render in the "{...}" segment.
- ModifierClassAttribute: the modifier describes a per-instance presentation or runtime knob that does NOT change model identity, so it is EXCLUDED from the entity key. Example: "thinking" — claude/opus@4.5[thinking] is the same entity as claude/opus@4.5. Attribute modifiers render in the "[...]" segment.
The zero value is ModifierClassIdentity: an unknown/uncurated token defaults to Identity (fail-safe — never silently collapse two artifacts into one entity).
const ( // ModifierClassIdentity marks a modifier that is part of the entity key. // This is the zero value and the default for unknown tokens. ModifierClassIdentity ModifierClass = iota // ModifierClassAttribute marks a modifier that is excluded from the entity // key (a per-instance presentation/runtime attribute). ModifierClassAttribute )
func ClassifyModifier ¶ added in v0.2.3
func ClassifyModifier(token string, fam Family) ModifierClass
ClassifyModifier returns the ModifierClass of a single modifier token for the given family. The classification is family-aware because the same token can be identity-bearing for one family and a mere attribute for another (e.g. "turbo": identity for gpt-4-turbo, attribute for a speed-tier alias elsewhere).
Resolution order (per-family override BEATS the global table):
- family_overrides[fam][token] in modifier_class.json, if present;
- global[token] in modifier_class.json, if present;
- otherwise ModifierClassIdentity (the fail-safe default).
CONTRACT: unknown/uncurated tokens MUST classify as ModifierClassIdentity (the fail-safe default) and ClassifyModifier MUST NOT panic for any input — rendering and entity keying depend on this graceful-degrade guarantee. If the embedded table fails to load, classification degrades to the unknown->Identity default for every token (never a panic).
func (ModifierClass) String ¶ added in v0.2.3
func (c ModifierClass) String() string
String returns the lowercase name of the modifier class.
type OutputFormat ¶
type OutputFormat string
OutputFormat specifies how models are rendered for display.
const ( FormatJSON OutputFormat = "json" FormatYAML OutputFormat = "yaml" FormatTable OutputFormat = "table" )
type ParseAttempt ¶ added in v0.2.0
type ParseAttempt struct {
Family Family `json:"family"`
Variant string `json:"variant"`
Version string `json:"version"`
Date string `json:"date"`
}
ParseAttempt records the partial result produced when parse heuristics could not fully decompose a raw family string. Fields mirror ModelInfo canonical fields (Family, Variant, Version, Date) to aid comparison.
type ParseFailure ¶ added in v0.2.0
type ParseFailure struct {
RawID ModelID `json:"raw_id"`
Provider Provider `json:"provider"`
RawFamily Family `json:"raw_family"`
AttemptedParse ParseAttempt `json:"attempted_parse"`
Reason ParseFailureReason `json:"reason"`
}
ParseFailure records a single parsing failure detected during family-string decomposition. It is produced by ParseFamilyDetailed when the parser's best-effort result is known to be incomplete or ambiguous.
JSON field names match the locked per-record format:
{
"raw_id": "claude-3-5-haiku-20241022",
"provider": "anthropic",
"raw_family": "claude-haiku",
"attempted_parse": {"family":"claude","variant":"haiku","version":"","date":"2024-10-22"},
"reason": "version digits between family-prefix and variant not extracted"
}
type ParseFailureReason ¶ added in v0.2.2
type ParseFailureReason string
ParseFailureReason is a typed string identifying the class of parse failure. Using a named type rather than bare string prevents accidental mixing of reason strings and enables exhaustive case analysis.
const ( // ReasonVersionDigitsNotExtracted is used when version digits appear between // the family prefix and the variant (e.g. "claude-3-5-haiku-20241022" where // the "3-5" version component is not extracted by the parse heuristics). ReasonVersionDigitsNotExtracted ParseFailureReason = "version digits between family-prefix and variant not extracted" // ReasonKnownSuffixOverflow is used when the trailing segment of the model ID // matches a known modifier token (thinking, vision, latest, code, preview, think). // The modifier is semantically meaningful but not yet extracted as a first-class // field. Extend the modifier allowlist in parse/data/modifiers.json when new // tokens are discovered. ReasonKnownSuffixOverflow ParseFailureReason = "suffix overflow: trailing token is a known modifier" // ReasonUnknownSuffixOverflow is used when the trailing segment of the model ID // does not match any known modifier token. This is an audit-log hint that the // modifier allowlist in parse/data/modifiers.json should be extended. ReasonUnknownSuffixOverflow ParseFailureReason = "suffix overflow: trailing token is an unknown modifier (extend allowlist)" // ReasonYYMMDateAsVersion is used for Mistral-style 4-digit numerals (e.g. 2401, // 2403) where the parser cannot reliably distinguish a YYMM date from a version. ReasonYYMMDateAsVersion ParseFailureReason = "YYMM-date-as-version false-positive" // ReasonResidualUnaccountedTokens is used when version extraction succeeds but // leaves one or more tokens in the model ID unaccounted for (e.g. nova-2-lite-v1 // yields version="2" but token "v1" is not explained by family/variant/version/date). // This is an honest-audit signal: the version is populated but there is residual // information the parser did not fully account for. ReasonResidualUnaccountedTokens ParseFailureReason = "residual unaccounted tokens after extraction" )
Reason constants for the known failure modes (use these constants verbatim to ensure consistent reason phrasing across all callers).
type ParseFailuresEnvelope ¶ added in v0.2.0
type ParseFailuresEnvelope struct {
SchemaVersion int `json:"schema_version"`
GeneratedAt time.Time `json:"generated_at"`
FailureCount int `json:"failure_count"`
Failures []ParseFailure `json:"failures"`
}
ParseFailuresEnvelope is the top-level JSON structure written by bestiary-gen to .bestiary-gen-cache/parse_failures.json after each codegen run. The file is overwritten on every run (full audit, not append).
type Provider ¶
type Provider string
Provider identifies the organization that hosts or publishes an AI model.
const ( Provider302AI Provider = "302ai" ProviderAbacus Provider = "abacus" ProviderAbliterationAI Provider = "abliteration-ai" ProviderAIHubMix Provider = "aihubmix" ProviderAlibaba Provider = "alibaba" ProviderAlibabaCN Provider = "alibaba-cn" ProviderAlibabaCodingPlan Provider = "alibaba-coding-plan" ProviderAlibabaCodingPlanCN Provider = "alibaba-coding-plan-cn" ProviderAmazonBedrock Provider = "amazon-bedrock" ProviderAmbient Provider = "ambient" ProviderAnthropic Provider = "anthropic" ProviderAtomicChat Provider = "atomic-chat" ProviderAuriko Provider = "auriko" ProviderAzure Provider = "azure" ProviderAzureCognitiveServices Provider = "azure-cognitive-services" ProviderBailing Provider = "bailing" ProviderBaseten Provider = "baseten" ProviderBerget Provider = "berget" ProviderCerebras Provider = "cerebras" ProviderChutes Provider = "chutes" ProviderClarifai Provider = "clarifai" ProviderClaudinio Provider = "claudinio" ProviderCloudFerroSherlock Provider = "cloudferro-sherlock" ProviderCloudflareAIGateway Provider = "cloudflare-ai-gateway" ProviderCloudflareWorkersAI Provider = "cloudflare-workers-ai" ProviderCohere Provider = "cohere" ProviderCortecs Provider = "cortecs" ProviderCrof Provider = "crof" ProviderDatabricks Provider = "databricks" ProviderDeepInfra Provider = "deepinfra" ProviderDeepSeek Provider = "deepseek" ProviderDigitalOcean Provider = "digitalocean" ProviderDInference Provider = "dinference" ProviderDrun Provider = "drun" ProviderEvroc Provider = "evroc" ProviderFastRouter Provider = "fastrouter" ProviderFirepass Provider = "firepass" ProviderFireworksAI Provider = "fireworks-ai" ProviderFriendli Provider = "friendli" ProviderFrogBot Provider = "frogbot" ProviderGitHubCopilot Provider = "github-copilot" ProviderGitHubModels Provider = "github-models" ProviderGitLab Provider = "gitlab" ProviderGMICloud Provider = "gmicloud" ProviderGoogle Provider = "google" ProviderGoogleVertex Provider = "google-vertex" ProviderGoogleVertexAnthropic Provider = "google-vertex-anthropic" ProviderGroq Provider = "groq" ProviderHelicone Provider = "helicone" ProviderHpcAI Provider = "hpc-ai" ProviderHuggingFace Provider = "huggingface" ProvideriFlowCN Provider = "iflowcn" ProviderInception Provider = "inception" ProviderInceptron Provider = "inceptron" ProviderInference Provider = "inference" ProviderIONet Provider = "io-net" ProviderJiekou Provider = "jiekou" ProviderKilo Provider = "kilo" ProviderKimiForCoding Provider = "kimi-for-coding" ProviderKUAECloudCodingPlan Provider = "kuae-cloud-coding-plan" ProviderLilac Provider = "lilac" ProviderLlama Provider = "llama" ProviderLlmGateway Provider = "llmgateway" ProviderLMStudio Provider = "lmstudio" ProviderLucidQuery Provider = "lucidquery" ProviderMeganova Provider = "meganova" ProviderMergeGateway Provider = "merge-gateway" ProviderMiniMax Provider = "minimax" ProviderMiniMaxCN Provider = "minimax-cn" ProviderMiniMaxCNCodingPlan Provider = "minimax-cn-coding-plan" ProviderMiniMaxCodingPlan Provider = "minimax-coding-plan" ProviderMistral Provider = "mistral" ProviderMixlayer Provider = "mixlayer" ProviderMoark Provider = "moark" ProviderModelScope Provider = "modelscope" ProviderMoonshotAI Provider = "moonshotai" ProviderMoonshotAICN Provider = "moonshotai-cn" ProviderMorph Provider = "morph" ProviderNanoGPT Provider = "nano-gpt" ProviderNearAI Provider = "nearai" ProviderNebius Provider = "nebius" ProviderNeuralwatt Provider = "neuralwatt" ProviderNova Provider = "nova" ProviderNovitaAI Provider = "novita-ai" ProviderNvidia Provider = "nvidia" ProviderOllamaCloud Provider = "ollama-cloud" ProviderOpenAI Provider = "openai" ProviderOpenCode Provider = "opencode" ProviderOpenCodeGo Provider = "opencode-go" ProviderOpenRouter Provider = "openrouter" ProviderOrcaRouter Provider = "orcarouter" ProviderOVHcloud Provider = "ovhcloud" ProviderPerplexity Provider = "perplexity" ProviderPerplexityAgent Provider = "perplexity-agent" ProviderPoe Provider = "poe" ProviderPoolside Provider = "poolside" ProviderPrivatemodeAI Provider = "privatemode-ai" ProviderQiHangAI Provider = "qihang-ai" ProviderQiniuAI Provider = "qiniu-ai" ProviderRegoloAI Provider = "regolo-ai" ProviderRequesty Provider = "requesty" ProviderRoutingRun Provider = "routing-run" ProviderSAPAICore Provider = "sap-ai-core" ProviderSarvam Provider = "sarvam" ProviderScaleway Provider = "scaleway" ProviderSiliconFlow Provider = "siliconflow" ProviderSiliconFlowCN Provider = "siliconflow-cn" ProviderSnowflakeCortex Provider = "snowflake-cortex" ProviderSTACKIT Provider = "stackit" ProviderStepFun Provider = "stepfun" ProviderStepFunAI Provider = "stepfun-ai" ProviderSubmodel Provider = "submodel" ProviderSynthetic Provider = "synthetic" ProviderTencentCodingPlan Provider = "tencent-coding-plan" ProviderTencentTokenHub Provider = "tencent-tokenhub" ProviderTheGridAI Provider = "the-grid-ai" ProviderTogetherAI Provider = "togetherai" ProviderUmansAICodingPlan Provider = "umans-ai-coding-plan" ProviderUpstage Provider = "upstage" ProviderV0 Provider = "v0" ProviderVenice Provider = "venice" ProviderVercel Provider = "vercel" ProviderVivgrid Provider = "vivgrid" ProviderVultr Provider = "vultr" ProviderWaferAI Provider = "wafer.ai" ProviderWandb Provider = "wandb" ProviderxAI Provider = "xai" ProviderXiaomi Provider = "xiaomi" ProviderXiaomiTokenPlanAMS Provider = "xiaomi-token-plan-ams" ProviderXiaomiTokenPlanCN Provider = "xiaomi-token-plan-cn" ProviderXiaomiTokenPlanSGP Provider = "xiaomi-token-plan-sgp" ProviderXpersona Provider = "xpersona" ProviderZai Provider = "zai" ProviderZaiCodingPlan Provider = "zai-coding-plan" ProviderZenMux Provider = "zenmux" ProviderZhipuai Provider = "zhipuai" ProviderZhipuaiCodingPlan Provider = "zhipuai-coding-plan" )
const ProviderLocal Provider = "local"
ProviderLocal is a bestiary-specific provider for locally-hosted models. It is not derived from the models.dev API and is always included in knownProviders (generated in providers_gen.go, appended last).
func Providers ¶
func Providers() []Provider
Providers returns all known Provider values as a defensive copy. The returned slice includes all API-derived providers plus ProviderLocal. Modifying the returned slice does not affect the package state.
func ProvidersForFamily ¶
ProvidersForFamily returns the set of providers that host models with the given raw API family string (e.g., "claude-opus", "gemini-flash"). The family parameter matches the RawFamily field (verbatim API value). The returned slice contains no duplicates. If no models match, a nil slice is returned.
func (Provider) IsKnown ¶
IsKnown reports whether p is a recognized Provider. The known set is generated from the models.dev API at codegen time and includes ProviderLocal as the final entry.
func (Provider) MarshalText ¶
MarshalText implements encoding.TextMarshaler.
func (*Provider) UnmarshalText ¶
UnmarshalText implements encoding.TextUnmarshaler. It accepts any string value; use IsKnown() to validate.
type ProviderInstance ¶ added in v0.2.3
type ProviderInstance struct {
ID ModelID
Provider Provider
Host Host
CostInputPerMTok *float64 // nil when unknown
CostOutputPerMTok *float64 // nil when unknown
ContextWindow int
MaxOutput int
}
ProviderInstance is a single concrete offering of an entity: one (provider, host) serving of the model, with its instance-specific pricing and limits. Many ProviderInstances roll up into one Entity. The fields here are exactly the per-instance ATTRIBUTES — they vary across instances of the same entity and so are excluded from EntityRef.
type ResolveOption ¶
type ResolveOption func(*resolveConfig)
ResolveOption configures a Resolve call. Options are applied in order; later options override earlier ones.
func WithInputFormat ¶ added in v0.2.0
func WithInputFormat(f InputFormat) ResolveOption
WithInputFormat pins the InputFormat for a Resolve call.
When InputFormatPeasant is specified (the default from the CLI), Resolve dispatches as SchemeCanonical and does NOT auto-detect from the input prefix. A PURL or HuggingFace input passed with InputFormatPeasant will fail to match (ErrNotFound) — this is intentional. Pass the matching --format flag explicitly.
For huggingface/hf, purl, and raw, dispatches directly to the corresponding scheme without auto-detect.
func WithScheme ¶
func WithScheme(s CanonicalScheme) ResolveOption
WithScheme pins the CanonicalScheme for a Resolve call. When not specified, Resolve auto-detects the scheme from the input prefix:
- "pkg:huggingface/<provider>/<id>" → SchemePURL: strip prefix, retain provider hint
- "<word>/<word>" two-segment form (no "pkg:" prefix, no "@" or versioned token) → SchemeHuggingFace: strip provider prefix, match raw ID
- "<family>/<variant>[@date]" or "<provider>/<family>/<variant>[@date]" form → SchemeCanonical
- Otherwise → SchemeRaw (exact model ID lookup)
SchemeCanonical is auto-detected when the input contains 1–3 "/" separators AND at least one of: an "@" date suffix, or a versioned token (e.g. "4.5", "2.5"). Use WithScheme to override auto-detection.
type Store ¶
type Store struct {
// contains filtered or unexported fields
}
Store is a SQLite-backed cache for AI model metadata. Use OpenStore to create, and Close when done.
func OpenStore ¶
OpenStore opens (or creates) the SQLite database at path. It applies any pending schema migrations before returning. Caller must call Close when done.
func (*Store) QueryByCanonical ¶
QueryByCanonical returns ModelInfo entries matching the canonical axes in f. Cross-provider results are returned as a slice. Empty fields in f act as wildcards: an empty Family matches any family, an empty Variant matches any variant, and an empty Date matches any date. Returns an empty slice (not an error) when no matching models are found.
The query uses the (family, variant) prefix of idx_canonical for efficient lookup when f.Family is non-empty.
ctx is accepted for API compatibility; zombiezen.com/go/sqlite does not support per-operation context cancellation.
func (*Store) QueryModel ¶
QueryModel returns the first model found with the given ID, or ErrNotFound if no model with that ID exists in the store. Note: with the composite (model_id, provider) primary key, multiple rows may share the same model_id across different providers. Use QueryModelsByID to retrieve all provider variants for a given model ID.
ctx is accepted for API compatibility; zombiezen.com/go/sqlite does not support per-operation context cancellation.
func (*Store) QueryModels ¶
QueryModels returns all cached models. If provider is non-empty, results are filtered to only models from that provider. An empty provider string returns ALL models regardless of provider.
ctx is accepted for API compatibility; zombiezen.com/go/sqlite does not support per-operation context cancellation.
func (*Store) QueryModelsByID ¶
QueryModelsByID returns all cached models with the given ID across all providers. Returns an empty slice (not an error) if none are found.
ctx is accepted for API compatibility; zombiezen.com/go/sqlite does not support per-operation context cancellation.
func (*Store) UpsertModels ¶
UpsertModels inserts or replaces the given models in the store. It sets LastSynced to the current UTC time in RFC3339 format for each model. All upserts run inside a single transaction.
ctx is accepted for API compatibility; zombiezen.com/go/sqlite does not support per-operation context cancellation.
Source Files
¶
- bestiary.go
- canonical.go
- client.go
- derivation.go
- designation.go
- entity.go
- errors.go
- families_gen.go
- family.go
- format.go
- harness.go
- host.go
- host_detect.go
- lineage.go
- merge.go
- modality.go
- modelref.go
- models_constants_gen.go
- models_static_gen.go
- modifier.go
- modifierclass.go
- parse.go
- provider.go
- providers_gen.go
- registry.go
- resolve.go
- store.go
- version.go
- wire.go
Directories
¶
| Path | Synopsis |
|---|---|
|
cmd
|
|
|
bestiary
command
|
|
|
bestiary-gen
command
bestiary-gen fetches the models.dev API and writes four generated files into the bestiary package root:
|
bestiary-gen fetches the models.dev API and writes four generated files into the bestiary package root: |