OpenAI Models API

List and describe the various models available in the API.

Operations 3

GET /models OpenAI Lists the currently available models, and provides basic information about each one such as the owner and availability. #
GET /models/{model} OpenAI Retrieves a model instance, providing basic information about the model such as the owner and permissioning. #
DELETE /models/{model} OpenAI Delete a fine-tuned model. You must have the Owner role in your organization to delete a model. #

Documentation

📖
Documentation
https://platform.openai.com/docs/assistants/overview
📖
Documentation
https://platform.openai.com/docs/api-reference/assistants
📖
Documentation
https://platform.openai.com/docs/guides/text-to-speech
📖
Documentation
https://platform.openai.com/docs/api-reference/audio
📖
Documentation
https://platform.openai.com/docs/guides/speech-to-text
📖
Documentation
https://developers.openai.com/api/docs/guides/audio/
📖
Documentation
https://developers.openai.com/api/docs/guides/voice-agents/
📖
Documentation
https://platform.openai.com/docs/api-reference/chat
📖
Documentation
https://platform.openai.com/docs/guides/embeddings
📖
Documentation
https://platform.openai.com/docs/api-reference/embeddings
📖
Documentation
https://platform.openai.com/docs/api-reference/files
📖
Documentation
https://platform.openai.com/docs/guides/fine-tuning
📖
Documentation
https://platform.openai.com/docs/api-reference/fine-tuning
📖
Documentation
https://platform.openai.com/docs/guides/images
📖
Documentation
https://platform.openai.com/docs/api-reference/images
📖
Documentation
https://platform.openai.com/docs/guides/image-generation
📖
Documentation
https://platform.openai.com/docs/guides/images-vision
📖
Documentation
https://platform.openai.com/docs/models
📖
Documentation
https://platform.openai.com/docs/api-reference/models
📖
Documentation
https://platform.openai.com/docs/assistants/how-it-works/managing-threads-and-messages
📖
Documentation
https://platform.openai.com/docs/api-reference/threads
📖
Documentation
https://platform.openai.com/docs/api-reference/completions

Specifications

Schemas & Data

Other Resources

Work with this as data

Every API here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for apis

7 MCP tools reach this
  • find_apisBrowse and filter every API in the catalog.
  • get_api_artifactsOne API's artifacts, grouped by type.
  • get_openapiThe primary OpenAPI for this API.
  • find_similar_apisAPIs that look like this one.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This API
curl "https://apis.io/api/v1/apis/openai-models-api"
All apis
curl "https://apis.io/api/v1/apis?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

A second provider on the same verified email joins the account you already have.

OpenAPI Specification

openai-models-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  title: Openai Models API
  contact:
    name: OpenAI Support
    url: https://help.openai.com/
  license:
    name: MIT
    url: https://github.com/openai/openai-openapi/blob/master/LICENSE
  termsOfService: https://openai.com/policies/terms-of-use
  version: '1.0'
  description: 'Operations tagged Models across 2 of this provider''s published API definitions: models-openapi-original.yml, openai-openapi-master.yml. Each path carries the servers of the definition it was published in.'
servers:
- url: https://api.openai.com/v1
security:
- ApiKeyAuth: []
tags:
- name: Models
  description: List and describe the various models available in the API.
paths:
  /models:
    get:
      operationId: listModels
      tags:
      - Models
      summary: OpenAI Lists the currently available models, and provides basic information about each one such as the owner and availability.
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ListModelsResponse'
      x-oaiMeta:
        name: List models
        group: models
        returns: A list of [model](/docs/api-reference/models/object) objects.
        examples:
          request:
            curl: "curl https://api.openai.com/v1/models \\\n  -H \"Authorization: Bearer $OPENAI_API_KEY\"\n"
            python: 'from openai import OpenAI

              client = OpenAI()


              client.models.list()

              '
            node.js: "import OpenAI from \"openai\";\n\nconst openai = new OpenAI();\n\nasync function main() {\n  const list = await openai.models.list();\n\n  for await (const model of list) {\n    console.log(model);\n  }\n}\nmain();"
          response: "{\n  \"object\": \"list\",\n  \"data\": [\n    {\n      \"id\": \"model-id-0\",\n      \"object\": \"model\",\n      \"created\": 1686935002,\n      \"owned_by\": \"organization-owner\"\n    },\n    {\n      \"id\": \"model-id-1\",\n      \"object\": \"model\",\n      \"created\": 1686935002,\n      \"owned_by\": \"organization-owner\",\n    },\n    {\n      \"id\": \"model-id-2\",\n      \"object\": \"model\",\n      \"created\": 1686935002,\n      \"owned_by\": \"openai\"\n    },\n  ],\n  \"object\": \"list\"\n}\n"
    servers:
    - url: https://api.openai.com/v1
  /models/{model}:
    get:
      operationId: retrieveModel
      tags:
      - Models
      summary: OpenAI Retrieves a model instance, providing basic information about the model such as the owner and permissioning.
      parameters:
      - in: path
        name: model
        required: true
        schema:
          type: string
          example: gpt-3.5-turbo
        description: The ID of the model to use for this request
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Model'
      x-oaiMeta:
        name: Retrieve model
        group: models
        returns: The [model](/docs/api-reference/models/object) object matching the specified ID.
        examples:
          request:
            curl: "curl https://api.openai.com/v1/models/VAR_model_id \\\n  -H \"Authorization: Bearer $OPENAI_API_KEY\"\n"
            python: 'from openai import OpenAI

              client = OpenAI()


              client.models.retrieve("VAR_model_id")

              '
            node.js: "import OpenAI from \"openai\";\n\nconst openai = new OpenAI();\n\nasync function main() {\n  const model = await openai.models.retrieve(\"gpt-3.5-turbo\");\n\n  console.log(model);\n}\n\nmain();"
          response: "{\n  \"id\": \"VAR_model_id\",\n  \"object\": \"model\",\n  \"created\": 1686935002,\n  \"owned_by\": \"openai\"\n}\n"
    delete:
      operationId: deleteModel
      tags:
      - Models
      summary: OpenAI Delete a fine-tuned model. You must have the Owner role in your organization to delete a model.
      parameters:
      - in: path
        name: model
        required: true
        schema:
          type: string
          example: ft:gpt-3.5-turbo:acemeco:suffix:abc123
        description: The model to delete
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/DeleteModelResponse'
      x-oaiMeta:
        name: Delete a fine-tuned model
        group: models
        returns: Deletion status.
        examples:
          request:
            curl: "curl https://api.openai.com/v1/models/ft:gpt-3.5-turbo:acemeco:suffix:abc123 \\\n  -X DELETE \\\n  -H \"Authorization: Bearer $OPENAI_API_KEY\"\n"
            python: 'from openai import OpenAI

              client = OpenAI()


              client.models.delete("ft:gpt-3.5-turbo:acemeco:suffix:abc123")

              '
            node.js: "import OpenAI from \"openai\";\n\nconst openai = new OpenAI();\n\nasync function main() {\n  const model = await openai.models.del(\"ft:gpt-3.5-turbo:acemeco:suffix:abc123\");\n\n  console.log(model);\n}\nmain();"
          response: "{\n  \"id\": \"ft:gpt-3.5-turbo:acemeco:suffix:abc123\",\n  \"object\": \"model\",\n  \"deleted\": true\n}\n"
    servers:
    - url: https://api.openai.com/v1
components:
  schemas:
    Model:
      title: Model
      description: Describes an OpenAI model offering that can be used with the API.
      properties:
        id:
          type: string
          description: The model identifier, which can be referenced in the API endpoints.
        created:
          type: integer
          description: The Unix timestamp (in seconds) when the model was created.
        object:
          type: string
          description: The object type, which is always "model".
          enum:
          - model
        owned_by:
          type: string
          description: The organization that owns the model.
      required:
      - id
      - object
      - created
      - owned_by
      x-oaiMeta:
        name: The model object
        example: "{\n  \"id\": \"VAR_model_id\",\n  \"object\": \"model\",\n  \"created\": 1686935002,\n  \"owned_by\": \"openai\"\n}\n"
    ListModelsResponse:
      type: object
      properties:
        object:
          type: string
          enum:
          - list
        data:
          type: array
          items:
            $ref: '#/components/schemas/Model'
      required:
      - object
      - data
    DeleteModelResponse:
      type: object
      properties:
        id:
          type: string
        deleted:
          type: boolean
        object:
          type: string
      required:
      - id
      - object
      - deleted
    Model_2:
      title: Model
      description: Describes an OpenAI model offering that can be used with the API.
      properties:
        id:
          type: string
          description: The model identifier, which can be referenced in the API endpoints.
        created:
          type: integer
          format: unixtime
          description: The Unix timestamp (in seconds) when the model was created.
        object:
          type: string
          description: The object type, which is always "model".
          enum:
          - model
          x-stainless-const: true
        owned_by:
          type: string
          description: The organization that owns the model.
      required:
      - id
      - object
      - created
      - owned_by
      x-oaiMeta:
        name: The model object
        example: "{\n  \"id\": \"VAR_chat_model_id\",\n  \"object\": \"model\",\n  \"created\": 1686935002,\n  \"owned_by\": \"openai\"\n}\n"
    ListModelsResponse_2:
      type: object
      properties:
        object:
          type: string
          enum:
          - list
          x-stainless-const: true
        data:
          type: array
          items:
            $ref: '#/components/schemas/Model_2'
      required:
      - object
      - data
  securitySchemes:
    ApiKeyAuth:
      type: http
      scheme: bearer
    AdminApiKeyAuth:
      type: http
      scheme: bearer
x-refined-from:
- models-openapi-original.yml
- openai-openapi-master.yml
x-oaiMeta:
  groups:
  - id: audio
    title: Audio
    description: 'Learn how to turn audio into text or text into audio.


      Related guide: [Speech to text](/docs/guides/speech-to-text)

      '
    sections:
    - type: endpoint
      key: createSpeech
      path: createSpeech
    - type: endpoint
      key: createTranscription
      path: createTranscription
    - type: endpoint
      key: createTranslation
      path: createTranslation
  - id: chat
    title: Chat
    description: 'Given a list of messages comprising a conversation, the model will return a response.


      Related guide: [Chat Completions](/docs/guides/text-generation)

      '
    sections:
    - type: endpoint
      key: createChatCompletion
      path: create
    - type: object
      key: CreateChatCompletionResponse
      path: object
    - type: object
      key: CreateChatCompletionStreamResponse
      path: streaming
  - id: embeddings
    title: Embeddings
    description: 'Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.


      Related guide: [Embeddings](/docs/guides/embeddings)

      '
    sections:
    - type: endpoint
      key: createEmbedding
      path: create
    - type: object
      key: Embedding
      path: object
  - id: fine-tuning
    title: Fine-tuning
    description: 'Manage fine-tuning jobs to tailor a model to your specific training data.


      Related guide: [Fine-tune models](/docs/guides/fine-tuning)

      '
    sections:
    - type: endpoint
      key: createFineTuningJob
      path: create
    - type: endpoint
      key: listPaginatedFineTuningJobs
      path: list
    - type: endpoint
      key: listFineTuningEvents
      path: list-events
    - type: endpoint
      key: retrieveFineTuningJob
      path: retrieve
    - type: endpoint
      key: cancelFineTuningJob
      path: cancel
    - type: object
      key: FineTuningJob
      path: object
    - type: object
      key: FineTuningJobEvent
      path: event-object
  - id: files
    title: Files
    description: 'Files are used to upload documents that can be used with features like [Assistants](/docs/api-reference/assistants) and [Fine-tuning](/docs/api-reference/fine-tuning).

      '
    sections:
    - type: endpoint
      key: createFile
      path: create
    - type: endpoint
      key: listFiles
      path: list
    - type: endpoint
      key: retrieveFile
      path: retrieve
    - type: endpoint
      key: deleteFile
      path: delete
    - type: endpoint
      key: downloadFile
      path: retrieve-contents
    - type: object
      key: OpenAIFile
      path: object
  - id: images
    title: Images
    description: 'Given a prompt and/or an input image, the model will generate a new image.


      Related guide: [Image generation](/docs/guides/images)

      '
    sections:
    - type: endpoint
      key: createImage
      path: create
    - type: endpoint
      key: createImageEdit
      path: createEdit
    - type: endpoint
      key: createImageVariation
      path: createVariation
    - type: object
      key: Image
      path: object
  - id: models
    title: Models
    description: 'List and describe the various models available in the API. You can refer to the [Models](/docs/models) documentation to understand what models are available and the differences between them.

      '
    sections:
    - type: endpoint
      key: listModels
      path: list
    - type: endpoint
      key: retrieveModel
      path: retrieve
    - type: endpoint
      key: deleteModel
      path: delete
    - type: object
      key: Model
      path: object
  - id: moderations
    title: Moderations
    description: 'Given a input text, outputs if the model classifies it as violating OpenAI''s content policy.


      Related guide: [Moderations](/docs/guides/moderation)

      '
    sections:
    - type: endpoint
      key: createModeration
      path: create
    - type: object
      key: CreateModerationResponse
      path: object
  - id: assistants
    title: Assistants
    beta: true
    description: 'Build assistants that can call models and use tools to perform tasks.


      [Get started with the Assistants API](/docs/assistants)

      '
    sections:
    - type: endpoint
      key: createAssistant
      path: createAssistant
    - type: endpoint
      key: createAssistantFile
      path: createAssistantFile
    - type: endpoint
      key: listAssistants
      path: listAssistants
    - type: endpoint
      key: listAssistantFiles
      path: listAssistantFiles
    - type: endpoint
      key: getAssistant
      path: getAssistant
    - type: endpoint
      key: getAssistantFile
      path: getAssistantFile
    - type: endpoint
      key: modifyAssistant
      path: modifyAssistant
    - type: endpoint
      key: deleteAssistant
      path: deleteAssistant
    - type: endpoint
      key: deleteAssistantFile
      path: deleteAssistantFile
    - type: object
      key: AssistantObject
      path: object
    - type: object
      key: AssistantFileObject
      path: file-object
  - id: threads
    title: Threads
    beta: true
    description: 'Create threads that assistants can interact with.


      Related guide: [Assistants](/docs/assistants/overview)

      '
    sections:
    - type: endpoint
      key: createThread
      path: createThread
    - type: endpoint
      key: getThread
      path: getThread
    - type: endpoint
      key: modifyThread
      path: modifyThread
    - type: endpoint
      key: deleteThread
      path: deleteThread
    - type: object
      key: ThreadObject
      path: object
  - id: messages
    title: Messages
    beta: true
    description: 'Create messages within threads


      Related guide: [Assistants](/docs/assistants/overview)

      '
    sections:
    - type: endpoint
      key: createMessage
      path: createMessage
    - type: endpoint
      key: listMessages
      path: listMessages
    - type: endpoint
      key: listMessageFiles
      path: listMessageFiles
    - type: endpoint
      key: getMessage
      path: getMessage
    - type: endpoint
      key: getMessageFile
      path: getMessageFile
    - type: endpoint
      key: modifyMessage
      path: modifyMessage
    - type: object
      key: MessageObject
      path: object
    - type: object
      key: MessageFileObject
      path: file-object
  - id: runs
    title: Runs
    beta: true
    description: 'Represents an execution run on a thread.


      Related guide: [Assistants](/docs/assistants/overview)

      '
    sections:
    - type: endpoint
      key: createRun
      path: createRun
    - type: endpoint
      key: createThreadAndRun
      path: createThreadAndRun
    - type: endpoint
      key: listRuns
      path: listRuns
    - type: endpoint
      key: listRunSteps
      path: listRunSteps
    - type: endpoint
      key: getRun
      path: getRun
    - type: endpoint
      key: getRunStep
      path: getRunStep
    - type: endpoint
      key: modifyRun
      path: modifyRun
    - type: endpoint
      key: submitToolOuputsToRun
      path: submitToolOutputs
    - type: endpoint
      key: cancelRun
      path: cancelRun
    - type: object
      key: RunObject
      path: object
    - type: object
      key: RunStepObject
      path: step-object
  - id: completions
    title: Completions
    legacy: true
    description: 'Given a prompt, the model will return one or more predicted completions along with the probabilities of alternative tokens at each position. Most developer should use our [Chat Completions API](/docs/guides/text-generation/text-generation-models) to leverage our best and newest models. Most models that support the legacy Completions endpoint [will be shut off on January 4th, 2024](/docs/deprecations/2023-07-06-gpt-and-embeddings).

      '
    sections:
    - type: endpoint
      key: createCompletion
      path: create
    - type: object
      key: CreateCompletionResponse
      path: object