List models

List every available model with context window, capabilities and pricing; no key required.

GET /model/v1/models● Supported

Request parameters

supported_apiarray可选
query: Match any comma-separated declared protocol ID; omitted or empty includes all models. Combined with type and output_modalities using AND. Invalid IDs return 400 with all legal values.
typearray可选
query: Filter by one or more model types (comma-separated).
Filter by comma-separated model types; invalid values return 400 with the legal values.
output_modalitiesarray可选
query: Match any comma-separated output modality; all disables modality filtering. Combined with type using AND.
Match any comma-separated output modality; all disables modality filtering. Combined with type using AND.
limitstring可选○ Currently ignored
query: Accepted for compatibility and ignored: this endpoint always returns the full model catalog. Filter with type and output_modalities instead.
Accepted but currently has no effect; this endpoint returns the full model catalog.
qstring可选○ Currently ignored
query: Accepted for compatibility and ignored: this endpoint always returns the full model catalog. Filter with type and output_modalities, or match ids on the client.
Accepted but currently has no effect; this endpoint returns the full model catalog.

Returns

200 list

OCR models have type ocr and pricing.page as a decimal string in USD per page, a Praxis extension to the Vercel model list shape; the four token prices are 0. Other models omit pricing.page.

Platform errors (auth, rate limits, validation) and OCR errors use problem+json; other model call errors follow the endpoint's own format (OpenAI or Anthropic) — see error codes

Response

HTTP 200

Model list

application/json

Name	Type	Description
object	string	Object type; always `list`.
data	array<object>	Published models, in the order the catalog returns them, filtered by type, supported_api and output_modalities when given.
data[].id	string	Model id to pass as `model` in other calls. It can carry a creator prefix such as deepseek/deepseek-v4-pro.
data[].object	string	Object type; always `model`.
data[].created	number	Unix time in seconds at which the model was first published.
data[].owned_by	string	Organization that serves the model on this platform; always `deepractice`.
data[].name	string	Display name, prefixed with the vendor when one is known, for example `Vendor: Model`.
data[].description	string \| null	Free-text description of the model; null when none is published.
data[].context_window	number \| null	Maximum context length in tokens (input plus output); null when the catalog has no figure.
data[].max_tokens	number \| null	Maximum number of output tokens the model can produce in one call; null when the catalog has no figure.
data[].type	string	Kind of model; it decides which endpoint accepts it.
data[].supported_apis	array<string>	Declared protocol IDs in stable lexicographic order; an empty array means no protocol is declared. Use these IDs with supported_api to find models for an operation.
data[].tags	array<string>	Capability tags of the model such as `tools`, `vision` or `reasoning`; use them to filter for features.
data[].architecture	object	Native modalities of the model.
data[].x_praxis	object	Platform extension. input_modalities states, per input format, how the model takes it.
data[].pricing	object	Prices in USD per named unit, as decimal strings. A unit that is absent is unpriced, which is not the same as free.
data[].released	string	Date (YYYY-MM-DD, UTC) on which the model was first published.