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Models

Claude Sonnet 5

By Anthropic. Unknown parameters, a context window of 1,000,000 tokens, licence Unknown.

Facts

Released
2026-06-29 the release date models.dev records models.dev, read
Licence
Unknown
Open weights
No models.dev records whether the weights are open models.dev, read
Parameters
Unknown
Active parameters
Unknown
Knowledge cutoff
2026-01-31 the knowledge cutoff models.dev records models.dev, read
Context window
  • 1,000,000 tokens the context length OpenRouter lists OpenRouter, read
  • 1,000,000 tokens the context limit models.dev records for the maker's own API models.dev, read
Longest output
  • 128,000 tokens the largest output OpenRouter's first provider allows OpenRouter, read
  • 128,000 tokens the output limit models.dev records for the maker's own API models.dev, read
Tool calling
  • Yes OpenRouter lists tools among the supported parameters OpenRouter, read
  • Yes models.dev records tool_call as true models.dev, read
Structured output
  • Yes OpenRouter lists structured outputs among the supported parameters OpenRouter, read
  • Yes models.dev records structured_output as true models.dev, read
Reasoning controls
  • Yes OpenRouter lists reasoning controls, with the efforts max, xhigh, high, medium, low OpenRouter, read
  • Yes models.dev records reasoning as true models.dev, read
Inputs and outputs
text, image, file in, text out OpenRouter, read
Good for
  • Reasoning: OpenRouter lists reasoning controls for it OpenRouter, read
  • Vision: OpenRouter lists images among its inputs OpenRouter, read

Prices

Prices in US dollars per million tokens, as each source lists them
ProviderInputOutputContextAs ofSource
Amazon Bedrock through OpenRouter2.00 USD10.00 USD1,000,000OpenRouter endpoints, read
Amazon Bedrock through OpenRouter2.00 USD10.00 USD1,000,000OpenRouter endpoints, read
Anthropic direct2.00 USD10.00 USD1,000,000 older than 30 days; check the providermodels.dev, read
Anthropic through OpenRouter2.00 USD10.00 USD1,000,000OpenRouter endpoints, read
Anthropic through OpenRouter2.00 USD10.00 USD1,000,000OpenRouter endpoints, read
Azure through OpenRouter2.00 USD10.00 USD1,000,000OpenRouter endpoints, read
Azure through OpenRouter2.00 USD10.00 USD1,000,000OpenRouter endpoints, read
Claude Platform on AWS through OpenRouter2.00 USD10.00 USD1,000,000OpenRouter endpoints, read
Claude Platform on AWS through OpenRouter2.00 USD10.00 USD1,000,000OpenRouter endpoints, read
Google through OpenRouter2.00 USD10.00 USD1,000,000OpenRouter endpoints, read
Google through OpenRouter2.00 USD10.00 USD1,000,000OpenRouter endpoints, read
Amazon Bedrock through OpenRouter2.20 USD11.00 USD1,000,000OpenRouter endpoints, read
Amazon Bedrock through OpenRouter2.20 USD11.00 USD1,000,000OpenRouter endpoints, read
Amazon Bedrock through OpenRouter2.20 USD11.00 USD1,000,000OpenRouter endpoints, read
Amazon Bedrock through OpenRouter2.20 USD11.00 USD1,000,000OpenRouter endpoints, read
Azure through OpenRouter2.20 USD11.00 USD1,000,000OpenRouter endpoints, read
Azure through OpenRouter2.20 USD11.00 USD1,000,000OpenRouter endpoints, read
Google through OpenRouter2.20 USD11.00 USD1,000,000OpenRouter endpoints, read
Google through OpenRouter2.20 USD11.00 USD1,000,000OpenRouter endpoints, read
Google through OpenRouter2.20 USD11.00 USD1,000,000OpenRouter endpoints, read
Google through OpenRouter2.20 USD11.00 USD1,000,000OpenRouter endpoints, read

Run it on your own hardware

No source lists weight files or a parameter count for this model, so its memory needs are Unknown.

Use it from your harness

Set up for Anthropic with the model claude-sonnet-5. Each endpoint page has the same setup for its own address.

OpenCode

Put this in opencode.json in your project folder:

{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
    "anthropic": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "Anthropic",
      "options": {
        "baseURL": "https://api.anthropic.com/v1",
        "apiKey": "{env:ANTHROPIC_API_KEY}"
      },
      "models": {
        "claude-sonnet-5": {
          "name": "Claude Sonnet 5",
          "limit": {
            "context": 1000000,
            "output": 128000
          }
        }
      }
    }
  }
}
  • OpenCode reads any OpenAI-compatible address through the @ai-sdk/openai-compatible package, and an address that speaks the Responses API through @ai-sdk/openai.

From OpenCode documentation, read .

Pi

Put this in ~/.pi/agent/models.json:

{
  "providers": {
    "anthropic": {
      "baseUrl": "https://api.anthropic.com/v1",
      "api": "openai-completions",
      "apiKey": "$ANTHROPIC_API_KEY",
      "models": [
        {
          "id": "claude-sonnet-5"
        }
      ]
    }
  }
}
  • The apiKey field can name an environment variable as $NAME.

From Pi documentation, read .

Codex

Codex speaks only the Responses API, and Anthropic documents no Responses address. A gateway that offers one can sit in between.

  • Codex speaks the Responses API only: responses is the one supported wire API of a custom provider. Ollama and LM Studio are built in and start with --oss.

From Codex documentation, read .

Claude Code

Put this in ~/.claude/settings.json, or variables in your shell:

claude --model claude-sonnet-5

From Claude Code documentation, read .

Other ways to reach it

Published results

These are results other people published. Baltor did not run them and does not rank models by them.