Anthropic: Claude 3.7 Sonnet

Text input Image input File input Text output
Author's Description

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. Read more at the [blog post here](https://www.anthropic.com/news/claude-3-7-sonnet)

Key Specifications
Cost
$$$$$
Context
200K
Released
Feb 24, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Tools Tool Choice Reasoning Include Reasoning Stop Max Tokens Temperature
Features

This model supports the following features:

Tools Reasoning
Performance Summary

Anthropic's Claude 3.7 Sonnet demonstrates competitive response times, ranking in the 50th percentile across various benchmarks. However, its pricing tends to be at premium levels, placing it in the 12th percentile. A standout feature is its exceptional reliability, achieving a 100% success rate across all evaluated benchmarks, indicating minimal technical failures. The model exhibits strong performance across several key areas. It achieves perfect accuracy in General Knowledge and Ethics, with the former also being the most accurate model at its price point and speed. Instruction Following and Coding are also significant strengths, scoring 78.0% (91st percentile) and 93.0% (84th percentile) respectively, reflecting its improved reasoning and coding capabilities, particularly for front-end and full-stack development. Mathematics also shows robust performance at 93.0% accuracy. While its Hallucinations accuracy is high at 98.0%, indicating a strong ability to acknowledge uncertainty, its Reasoning score of 80.0% is solid but not as dominant as other categories. The model's hybrid reasoning approach, allowing for rapid or extended processing, contributes to its versatility, especially in agentic workflows.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $3
Completion $15
Input Cache Read $0.3
Input Cache Write $3.75

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Google
Google | anthropic/claude-3-7-sonnet-20250219 200K $3 / 1M tokens $15 / 1M tokens
Anthropic
Anthropic | anthropic/claude-3-7-sonnet-20250219 200K $3 / 1M tokens $15 / 1M tokens
Google
Google | anthropic/claude-3-7-sonnet-20250219 200K $3 / 1M tokens $15 / 1M tokens
Amazon Bedrock
Amazon Bedrock | anthropic/claude-3-7-sonnet-20250219 200K $3 / 1M tokens $15 / 1M tokens
Google
Google | anthropic/claude-3-7-sonnet-20250219 200K $3 / 1M tokens $15 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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