Claude Platform Docs

Obtenir un modèle

$ ant beta:models retrieve
GET/v1/models/{model_id}

Obtenir un modèle spécifique.

La réponse de l'API Models peut être utilisée pour obtenir des informations sur un modèle spécifique ou pour résoudre un alias de modèle en identifiant de modèle.

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
beta_model_info: object{ id, allowed_fallback_models, capabilities, 5 more }
id: string

Unique model identifier.

allowed_fallback_models: array of string

Model IDs this model accepts as fallbacks[i].model on the Messages API. An empty list means the fallbacks parameter is not supported for this model as primary.

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.

formatdate-time
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".

Obtenir un modèle
ant beta:models retrieve \
  --api-key my-anthropic-api-key \
  --model-id model_id
Returns Examples
Response 200
{
  "id": "claude-opus-5",
  "allowed_fallback_models": [
    "string"
  ],
  "capabilities": {
    "batch": {
      "supported": true
    },
    "citations": {
      "supported": true
    },
    "code_execution": {
      "supported": true
    },
    "context_management": {
      "clear_thinking_20251015": {
        "supported": true
      },
      "clear_tool_uses_20250919": {
        "supported": true
      },
      "compact_20260112": {
        "supported": true
      },
      "supported": true
    },
    "effort": {
      "high": {
        "supported": true
      },
      "low": {
        "supported": true
      },
      "max": {
        "supported": true
      },
      "medium": {
        "supported": true
      },
      "supported": true,
      "xhigh": {
        "supported": true
      }
    },
    "image_input": {
      "supported": true
    },
    "pdf_input": {
      "supported": true
    },
    "structured_outputs": {
      "supported": true
    },
    "thinking": {
      "supported": true,
      "types": {
        "adaptive": {
          "supported": true
        },
        "enabled": {
          "supported": true
        }
      }
    }
  },
  "created_at": "2026-07-24T00:00:00Z",
  "display_name": "Claude Opus 5",
  "max_input_tokens": 0,
  "max_tokens": 0,
  "type": "model"
}