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Anthropic: Claude 3.7 SonnetSunset

anthropic/claude-3.7-sonnet
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Claude 3.7 Sonnet is an advanced large language model with improved reasoning, coding, and problem-solving capabilities. It introduces a hybrid reasoning approach, allowing users to choose between rapid responses and extended, step-by-step processing for complex tasks. The model demonstrates notable improvements in coding, particularly in front-end development and full-stack updates, and excels in agentic workflows, where it can autonomously navigate multi-step processes.

Claude 3.7 Sonnet maintains performance parity with its predecessor in standard mode while offering an extended reasoning mode for enhanced accuracy in math, coding, and instruction-following tasks.

By:AnthropicInput Type:Output Type:Publish time:2025-02-24

Providers

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ProviderCache Hit RateContext
google-vertex
71.6%$3/ M tokens$15/ M tokensRead:0.3/ M tokensWrite:3.75/ M tokens200K1.09s53.8tps
amazon-bedrock
-$3/ M tokens$15/ M tokensRead:0.3/ M tokensWrite:3.75/ M tokens200K--

Uptime

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

May 11, 16:29
Google Vertex100.00%

Throughput

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

May 11, 16:00
Google Vertex53.8 tps

Latency

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

May 11, 16:00
Google Vertex1.09s

Activity

Token volume and request traffic to this model over time.

Token Consumption
May 11
Google Vertex3.8M
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
No data
No app usage is available for this period.

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