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Anthropic: Claude Sonnet 4Sunset

anthropic/claude-sonnet-4
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Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Achieving state-of-the-art performance on SWE-bench (72.7%), Sonnet 4 balances capability and computational efficiency, making it suitable for a broad range of applications from routine coding tasks to complex software development projects. Key enhancements include improved autonomous codebase navigation, reduced error rates in agent-driven workflows, and increased reliability in following intricate instructions. Sonnet 4 is optimized for practical everyday use, providing advanced reasoning capabilities while maintaining efficiency and responsiveness in diverse internal and external scenarios.

By:AnthropicInput Type:Output Type:Publish time:2025-05-22

Providers

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ProviderCache Hit RateContext
AnthropicSunset
anthropic
-$3-6/ M tokens$15-22.5/ M tokensRead:0.3-0.6/ M tokensWrite:3.75-12/ M tokens1M--
google-vertex
-$3/ M tokens$15/ M tokensRead:0.3/ M tokensWrite:3.75-6/ M tokens200K--
amazon-bedrock
-$3/ M tokens$15/ M tokensRead:0.3/ M tokensWrite:3.75/ M tokens1M--

Uptime

Direct request success rate on AI Gateway and per-provider.

Sep 13, 14:59
Google Vertex100.00%

Throughput

P50 throughput on live AI Gateway traffic, in tokens per second (TPS).

No data
No data

Latency

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.

No data
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Activity

Token volume and request traffic to this model over time.

Token Consumption
Sep 13
Anthropic-
Google Vertex28.0
Amazon Bedrock-

Token volume broken down by the provider that served each request. Larger segments indicate providers handling more of this model's traffic.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. View All

Token Ranking
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