Gemini

Gemini Models API

List and inspect available Gemini models

GitHub OpenAPI

Operations 2

GET /v1beta/models List available models #
GET /v1beta/models/{model} Get model details #

Documentation

📖
Documentation
https://ai.google.dev/api/rest
📖
Authentication
https://ai.google.dev/gemini-api/docs/api-key
📖
APIReference
https://ai.google.dev/api/all-methods

Specifications

⚙
OpenAPI
https://raw.githubusercontent.com/api-evangelist/gemini/refs/heads/main/openapi/gemini-models-api-openapi.yml

Other Resources

🔗
Function Calling
https://ai.google.dev/gemini-api/docs/function-calling
🔗
Code Execution
https://ai.google.dev/gemini-api/docs/code-execution
🔗
Grounding
https://ai.google.dev/gemini-api/docs/google-search
🔗
Safety
https://ai.google.dev/gemini-api/docs/safety-settings
🔗
Context Caching
https://ai.google.dev/gemini-api/docs/caching
🔗
Tuning
https://ai.google.dev/api/tuning
🔗
Tools
https://ai.google.dev/gemini-api/docs/tools
🔗
Structured Output
https://ai.google.dev/gemini-api/docs/structured-output
🔗
Thinking
https://ai.google.dev/gemini-api/docs/thinking
🔗
System Instructions
https://ai.google.dev/gemini-api/docs/system-instructions
🔗
Prompting Strategies
https://ai.google.dev/gemini-api/docs/prompting-strategies
🔗
OpenAI Compatibility
https://ai.google.dev/gemini-api/docs/openai

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OpenAPI Specification

gemini-models-api-openapi.yml Raw ↑ 
openapi: 3.2.0
info:
  title: Google Gemini Embeddings Models API
  description: 'REST API for Google Gemini generative AI models. Supports text generation,

    chat, multimodal input, embeddings, file management, token counting,

    and batch operations. Authenticated with an API key from Google AI Studio.

    '
  version: v1beta
  contact:
    name: Gemini API Documentation
    url: https://ai.google.dev/api
servers:
- url: https://generativelanguage.googleapis.com
  description: Production
security:
- apiKeyQuery: []
- apiKeyHeader: []
tags:
- name: Models
  description: List and inspect available Gemini models
paths:
  /v1beta/models:
    get:
      tags:
      - Models
      summary: List available models
      operationId: listModels
      parameters:
      - name: pageSize
        in: query
        schema:
          type: integer
      - name: pageToken
        in: query
        schema:
          type: string
      responses:
        '200':
          description: List of models
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ListModelsResponse'
  /v1beta/models/{model}:
    get:
      tags:
      - Models
      summary: Get model details
      operationId: getModel
      parameters:
      - $ref: '#/components/parameters/Model'
      responses:
        '200':
          description: Model metadata
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Model'
components:
  schemas:
    Model:
      type: object
      properties:
        name:
          type: string
        baseModelId:
          type: string
        version:
          type: string
        displayName:
          type: string
        description:
          type: string
        inputTokenLimit:
          type: integer
        outputTokenLimit:
          type: integer
        supportedGenerationMethods:
          type: array
          items:
            type: string
    ListModelsResponse:
      type: object
      properties:
        models:
          type: array
          items:
            $ref: '#/components/schemas/Model'
        nextPageToken:
          type: string
  parameters:
    Model:
      name: model
      in: path
      required: true
      description: Model identifier (e.g. "gemini-1.5-pro")
      schema:
        type: string
  securitySchemes:
    apiKeyQuery:
      type: apiKey
      in: query
      name: key
      description: Gemini API key from Google AI Studio
    apiKeyHeader:
      type: apiKey
      in: header
      name: x-goog-api-key
      description: Gemini API key passed via header