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Anthropic: Claude Sonnet 4.6

anthropic/claude-sonnet-4.6

Created Feb 17, 20261,000,000 context
$3/M input tokens$15/M output tokens$10/K web search

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with memory, polished document creation, and confident computer use for web QA and workflow automation.

Providers for Claude Sonnet 4.6

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Claude Sonnet 4.6

Compare different providers across OpenRouter

Apps using Claude Sonnet 4.6

Top public apps this month

Recent activity on Claude Sonnet 4.6

Total usage per day on OpenRouter

Prompt
3.34B
Completion
67.9M
Reasoning
8.81M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Claude Sonnet 4.6

Uptime stats for Claude Sonnet 4.6 across all providers

Sample code and API for Claude Sonnet 4.6

OpenRouter normalizes requests and responses across providers for you.

OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.