OpenAI Models API

List and describe the various models available in the API.

GitHub OpenAPI

Operations 3

Each operation below carries the questions people ask an LLM about it and the instructions they give an agent to run it. Generated by API Evangelist overlay

1 of 3 operations are conformant: apis.io called them with no credentials and the responses matched this contract. Checked 2026-11-12. how this works · status file

GET /models List available models · List models conformant #
Ask an LLM
“Which models can I use with my API key right now?”
“Are my fine-tuned models included in the list of available models?”
Tell an agent
List the models available to me.
Show every model I can call, with its owner.
GET /models/{model} Look up a model · Retrieve model #
Ask an LLM
“Who owns a particular model and can I access it?”
“Can I check basic details about one model by name?”
Tell an agent
Get details for model {model}.
Check who owns model {model} and whether I have permission to use it.
DELETE /models/{model} Delete a fine-tuned model · Delete a fine-tuned model #
Ask an LLM
“How do I delete a fine-tuned model I no longer need?”
“What role do I need to be allowed to delete a model?”
Tell an agent destructive · confirm first
Delete fine-tuned model {model}.
Permanently remove my fine-tune {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

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OpenAPI Specification

openai-models-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  title: Openai Models API
  version: 2.3.0
  contact:
    name: OpenAI Support
    url: https://help.openai.com/
  license:
    name: MIT
    identifier: MIT
  termsOfService: https://openai.com/policies/terms-of-use
  description: 'Operations tagged Models across 2 of this provider''s published API definitions: openai-openapi-master-2026-09-23.yml, openai-openapi-master-2026-10-12.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: List models
      description: 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:
        group: models
        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()

              '
            javascript: "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();"
            csharp: "using System;\n\nusing OpenAI.Models;\n\nOpenAIModelClient client = new(\n    apiKey: Environment.GetEnvironmentVariable(\"OPENAI_API_KEY\")\n);\n\nforeach (var model in client.GetModels().Value)\n{\n    Console.WriteLine(model.Id);\n}\n"
          response: "{\n  \"object\": \"list\",\n  \"data\": [\n    {\n      \"id\": \"model-id-0\",\n      \"object\": \"model\",\n      \"created\": 1686935002,\n      \"owned_by\": \"organization-owner\",\n      \"shutdown_date\": null\n    },\n    {\n      \"id\": \"model-id-1\",\n      \"object\": \"model\",\n      \"created\": 1686935002,\n      \"owned_by\": \"organization-owner\",\n      \"shutdown_date\": null\n    },\n    {\n      \"id\": \"model-id-2\",\n      \"object\": \"model\",\n      \"created\": 1686935002,\n      \"owned_by\": \"openai\",\n      \"shutdown_date\": \"2026-10-23\"\n    },\n  ]\n}\n"
    servers:
    - url: https://api.openai.com/v1
  /models/{model}:
    get:
      operationId: retrieveModel
      tags:
      - Models
      summary: Retrieve model
      description: 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-6-astra
        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:
        group: models
        examples:
          request:
            curl: "curl https://api.openai.com/v1/models/gpt-6-astra \\\n  -H \"Authorization: Bearer $OPENAI_API_KEY\"\n"
            python: 'from openai import OpenAI

              client = OpenAI()


              client.models.retrieve("gpt-6-astra")

              '
            javascript: "import OpenAI from \"openai\";\n\nconst openai = new OpenAI();\n\nasync function main() {\n  const model = await openai.models.retrieve(\"gpt-6-astra\");\n\n  console.log(model);\n}\n\nmain();"
            csharp: "using System;\nusing System.ClientModel;\n\nusing OpenAI.Models;\n\n  OpenAIModelClient client = new(\n    apiKey: Environment.GetEnvironmentVariable(\"OPENAI_API_KEY\")\n);\n\nClientResult<OpenAIModel> model = client.GetModel(\"babbage-002\");\nConsole.WriteLine(model.Value.Id);\n"
          response: "{\n  \"id\": \"gpt-6-astra\",\n  \"object\": \"model\",\n  \"created\": 1686935002,\n  \"owned_by\": \"openai\",\n  \"shutdown_date\": \"2026-10-23\"\n}\n"
    delete:
      operationId: deleteModel
      tags:
      - Models
      summary: Delete a fine-tuned model
      description: 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-4o-mini:acemeco:suffix:abc123
        description: The model to delete
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/DeleteModelResponse'
      x-oaiMeta:
        group: models
        examples:
          request:
            curl: "curl https://api.openai.com/v1/models/ft:gpt-4o-mini: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-4o-mini:acemeco:suffix:abc123")

              '
            javascript: "import OpenAI from \"openai\";\n\nconst openai = new OpenAI();\n\nasync function main() {\n  const model = await openai.models.delete(\"ft:gpt-4o-mini:acemeco:suffix:abc123\");\n  \n  console.log(model);\n}\nmain();"
            csharp: "using System;\nusing System.ClientModel;\n\nusing OpenAI.Models;\n\nOpenAIModelClient client = new(\n    apiKey: Environment.GetEnvironmentVariable(\"OPENAI_API_KEY\")\n);\n\nClientResult success = client.DeleteModel(\"ft:gpt-4o-mini:acemeco:suffix:abc123\");\nConsole.WriteLine(success);\n"
          response: "{\n  \"id\": \"ft:gpt-4o-mini: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
          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.
        shutdown_date:
          anyOf:
          - type: string
            format: date
          - type: 'null'
          description: The date when the model will shut down, or null if not announced.
      required:
      - id
      - object
      - created
      - owned_by
      x-oaiMeta:
        name: The model object
        example: "{\n  \"id\": \"gpt-6-astra\",\n  \"object\": \"model\",\n  \"created\": 1686935002,\n  \"owned_by\": \"openai\",\n  \"shutdown_date\": \"2026-10-23\"\n}\n"
    ListModelsResponse:
      type: object
      properties:
        object:
          type: string
          enum:
          - list
          x-stainless-const: true
        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
    _MisalignmentSteer:
      properties:
        message:
          type: string
          description: The public continuation instruction.
      type: object
      required:
      - message
    Error:
      type: object
      properties:
        code:
          anyOf:
          - type: string
          - type: 'null'
        message:
          type: string
        param:
          anyOf:
          - type: string
          - type: 'null'
        type:
          type: string
        misalignment:
          $ref: '#/components/schemas/MisalignmentErrorDetailsResource'
      required:
      - type
      - message
      - param
      - code
    _MisalignmentErrorType:
      anyOf:
      - type: string
      - type: string
        enum:
        - potentially_unintended_data_transfer
        - potentially_unintended_data_access
        - potentially_unintended_destructive_activity
        - other
    PermissionErrorResponse:
      type: object
      properties:
        error:
          description: Details about the permission error.
          anyOf:
          - $ref: '#/components/schemas/Error'
          - type: string
            description: An explanation of the missing API permissions.
      required:
      - error
    ErrorResponse:
      type: object
      properties:
        error:
          $ref: '#/components/schemas/Error'
      required:
      - error
    MisalignmentErrorDetailsResource:
      properties:
        review_target:
          anyOf:
          - not:
              pattern: '[^A-Za-z0-9._~:-]'
            type: string
            maxLength: 96
            minLength: 1
            pattern: ^[A-Za-z0-9._~:-]+$
            description: An opaque target for explicitly continuing this review, or null when unavailable.
          - type: 'null'
        error_type:
          $ref: '#/components/schemas/_MisalignmentErrorType'
          description: An optional classification; clients must accept additional values.
        detailed_explanation:
          type: string
          description: The public explanation for this block.
        steer:
          $ref: '#/components/schemas/_MisalignmentSteer'
          description: An optional public continuation instruction.
      type: object
      required: []
  securitySchemes:
    ApiKeyAuth:
      type: http
      scheme: bearer
    AdminApiKeyAuth:
      type: http
      scheme: bearer
x-refined-from:
- openai-openapi-master-2026-09-23.yml
- openai-openapi-master-2026-10-12.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