Retrieve Model - Anthropic Models API

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Published: 2026-05-10 · Source: crawler_authoritative

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Guide for retrieving specific model information by ID or alias using the Anthropic Models API CLI and REST endpoint.

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The Models API provides two interfaces for retrieving model information: CLI command $ ant models retrieve and REST endpoint GET /v1/models/{model_id}. The response contains comprehensive model metadata including the unique identifier, human-readable display name, release timestamp, token limits, and detailed capability flags. Capabilities are nested objects with supported: boolean properties indicating whether each feature is available. Supported capabilities include: batch (Batch API support), citations (citation generation), code_execution (code execution tools), image_input (image content blocks), pdf_input (PDF content blocks), structured_outputs (JSON mode/strict tool schemas), and thinking (with sub-types adaptive and enabled). Context management strategies include clear_thinking_20251015, clear_tool_uses_20250919, and compact_20260112. Effort levels indicate support for reasoning_effort with values: low, medium, high, max, and xhigh. The model object type is always ‘model’ and created_at is returned as an RFC 3339 datetime string.

Hành động

Use $ ant models retrieve --model-id <string> to get model details via CLI. Required parameter: —model-id accepts a model identifier string or alias. Optional parameter: —beta accepts an array of AnthropicBeta values to specify beta version(s). For REST API: send GET request to /v1/models/{model_id} with model_id path parameter. Response returns model_info object containing: id (string), capabilities (nested object with 10+ capability flags), created_at (RFC 3339 datetime), display_name (string), max_input_tokens (number), max_tokens (number), and type (‘model’).

Kết quả

Returns a model_info object containing the model’s unique identifier, capability information showing which features are supported, release date in RFC 3339 format, human-readable display name, maximum input token limit, maximum output token limit, and object type designation.

Nội dung gốc (Original)

Retrieve

$ ant models retrieve

get /v1/models/{model_id}

Get a specific model.

The Models API response can be used to determine information about a specific model or resolve a model alias to a model ID.

Parameters

--model-id: string

Model identifier or alias.
--beta: optional array of AnthropicBeta

Optional header to specify the beta version(s) you want to use.

Returns

model_info: object { id, capabilities, created_at, 4 more }
- id: string
  
  Unique model identifier.
- capabilities: object { batch, citations, code_execution, 6 more }
  
  Model capability information.
  - batch: object { supported }
    
    Whether the model supports the Batch API.
    - supported: boolean
      
      Whether this capability is supported by the model.
  - citations: object { supported }
    
    Whether the model supports citation generation.
    - supported: boolean
      
      Whether this capability is supported by the model.
  - code_execution: object { supported }
    
    Whether the model supports code execution tools.
    - supported: boolean
      
      Whether this capability is supported by the model.
  - context_management: object { clear_thinking_20251015, clear_tool_uses_20250919, compact_20260112, supported }
    
    Context management support and available strategies.
    - clear_thinking_20251015: object { supported }
      
      Indicates whether a capability is supported.
      - supported: boolean
        
        Whether this capability is supported by the model.
    - clear_tool_uses_20250919: object { supported }
      
      Indicates whether a capability is supported.
      - supported: boolean
        
        Whether this capability is supported by the model.
    - compact_20260112: object { supported }
      
      Indicates whether a capability is supported.
      - supported: boolean
        
        Whether this capability is supported by the model.
    - supported: boolean
      
      Whether this capability is supported by the model.
  - effort: object { high, low, max, 3 more }
    
    Effort (reasoning_effort) support and available levels.
    - high: object { supported }
      
      Whether the model supports high effort level.
      - supported: boolean
        
        Whether this capability is supported by the model.
    - low: object { supported }
      
      Whether the model supports low effort level.
      - supported: boolean
        
        Whether this capability is supported by the model.
    - max: object { supported }
      
      Whether the model supports max effort level.
      - supported: boolean
        
        Whether this capability is supported by the model.
    - medium: object { supported }
      
      Whether the model supports medium effort level.
      - supported: boolean
        
        Whether this capability is supported by the model.
    - supported: boolean
      
      Whether this capability is supported by the model.
    - xhigh: object { supported }
      
      Indicates whether a capability is supported.
      - supported: boolean
        
        Whether this capability is supported by the model.
  - image_input: object { supported }
    
    Whether the model accepts image content blocks.
    - supported: boolean
      
      Whether this capability is supported by the model.
  - pdf_input: object { supported }
    
    Whether the model accepts PDF content blocks.
    - supported: boolean
      
      Whether this capability is supported by the model.
  - structured_outputs: object { supported }
    
    Whether the model supports structured output / JSON mode / strict tool schemas.
    - supported: boolean
      
      Whether this capability is supported by the model.
  - thinking: object { supported, types }
    
    Thinking capability and supported type configurations.
    - supported: boolean
      
      Whether this capability is supported by the model.
    - types: object { adaptive, enabled }
      
      Supported thinking type configurations.
      - adaptive: object { supported }
        
        Whether the model supports thinking with type ‘adaptive’ (auto).
        
        supported: boolean
        
        Whether this capability is supported by the model.
      - enabled: object { supported }
        
        Whether the model supports thinking with type ‘enabled’.
        
        supported: boolean
        
        Whether this capability is supported by the model.
- created_at: string
  
  RFC 3339 datetime string representing the time at which the model was released. May be set to an epoch value if the release date is unknown.
- display_name: string
  
  A human-readable name for the model.
- max_input_tokens: number
  
  Maximum input context window size in tokens for this model.
- max_tokens: number
  
  Maximum value for the max_tokens parameter when using this model.
- type: "model"
  
  Object type.
  
  For Models, this is always "model".

Example

ant models retrieve \
  --api-key my-anthropic-api-key \
  --model-id model_id

Liên kết

Nền tảng: Dev Framework · Anthropic
Nguồn: https://platform.claude.com/docs/en/api/cli/models/retrieve.md

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Retrieve Model - Anthropic Models API

Retrieve Model - Anthropic Models API

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Retrieve

Parameters

Returns

Example

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