读取模型

GET /model/v1/models/{model}● 支持

官方文档 ↗

请求参数

modelstring必填
path: Id of the model to read. It may carry a creator prefix with a slash, such as deepseek/deepseek-v4-pro, so the value runs to the end of the path. Ids come from the `id` field of listModels; an unknown id answers 404.

200 model

鉴权、限流、参数校验等平台错误按 problem+json 返回；OCR 的错误也为 problem+json，其它模型调用的错误按该端点所属格式（OpenAI 或 Anthropic）返回，参见错误码

响应

HTTP 200

Model

application/json

名称	类型	说明
id	string	Model id to pass as `model` in other calls. It can carry a creator prefix such as deepseek/deepseek-v4-pro.
object	string	Object type; always `model`.
created	number	Unix time in seconds at which the model was first published.
owned_by	string	Organization that serves the model on this platform; always `deepractice`.
name	string	Display name, prefixed with the vendor when one is known, for example `Vendor: Model`.
description	string \| null	Free-text description of the model; null when none is published.
context_window	number \| null	Maximum context length in tokens (input plus output); null when the catalog has no figure.
max_tokens	number \| null	Maximum number of output tokens the model can produce in one call; null when the catalog has no figure.
type	string	Kind of model; it decides which endpoint accepts it.
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.
tags	array<string>	Capability tags of the model such as `tools`, `vision` or `reasoning`; use them to filter for features.
architecture	object	Native modalities of the model.
architecture.modality	string	Native modalities as `input+input->output+output`, for example `text+image->text`.
architecture.input_modalities	array<string>	Input modalities the model accepts natively, for example text, image, file or audio.
architecture.output_modalities	array<string>	Output modalities the model produces, for example text, image, audio, video, embeddings or rerank.
architecture.tokenizer	string \| null	Tokenizer family; null because the platform does not publish it.
architecture.instruct_type	string \| null	Instruction template type; null because the platform does not publish it.
x_praxis	object	Platform extension. input_modalities states, per input format, how the model takes it.
x_praxis.input_modalities	object	Per input format, whether the model takes it natively, through a conversion step, or not at all. Conversion depends on the file-parser plugin settings.
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.
pricing.input	string	USD per input token.
pricing.output	string	USD per output token.
pricing.input_cache_read	string	USD per input token that is read from the prompt cache.
pricing.input_cache_write	string	USD per input token that is written to the prompt cache.
pricing.image	string	USD per image; present only for a flat registry price.
pricing.video_second	string	Praxis extension: USD per second of output video.
pricing.audio_input_minute	string	Praxis extension: USD per minute of input audio.
pricing.audio_output_minute	string	Praxis extension: USD per minute of output audio.
pricing.input_character	string	Praxis extension: USD per input character.
pricing.page	string	Praxis extension: USD per page, present only for OCR models; not a Vercel AI Gateway pricing field.
released	string	Date (YYYY-MM-DD, UTC) on which the model was first published.