Anthropic: Claude Sonnet 4.5

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

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with improvements across system design, code security, and specification adherence. The model is designed for extended autonomous operation, maintaining task continuity across sessions and providing fact-based progress tracking. Sonnet 4.5 also introduces stronger agentic capabilities, including improved tool orchestration, speculative parallel execution, and more efficient context and memory management. With enhanced context tracking and awareness of token usage across tool calls, it is particularly well-suited for multi-context and long-running workflows. Use cases span software engineering, cybersecurity, financial analysis, research agents, and other domains requiring sustained reasoning and tool use.

Key Specifications
Cost
$$$$$
Context
1M
Released
Sep 29, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Reasoning Include Reasoning Max Tokens Tools Top P Temperature Stop Tool Choice
Features

This model supports the following features:

Reasoning Tools
Performance Summary

Anthropic's Claude Sonnet 4.5, created on September 29, 2025, demonstrates a strong performance profile, particularly excelling in reliability with a 100% success rate across all benchmarks. While its speed performance is moderate, ranking in the 33rd percentile, its pricing tends to be at a premium level, positioned in the 11th percentile. The model exhibits exceptional accuracy in critical areas. It achieved perfect scores in Hallucinations (100%), General Knowledge (100%), and Ethics (100%), often being the most accurate model at its price point and speed for these categories. Sonnet 4.5 also shows state-of-the-art capabilities in Coding (95.0% accuracy, 94th percentile) and strong performance in Mathematics (94.0% accuracy, 86th percentile). Its agentic capabilities are further highlighted by solid results in Instruction Following (67.7% accuracy, 77th percentile) and Reasoning (88.0% accuracy, 77th percentile). Email Classification is also robust at 99.0% accuracy. The model's design for extended autonomous operation, improved tool orchestration, and efficient context management positions it well for complex, long-running workflows in domains like software engineering and financial analysis.

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)
Anthropic
Anthropic | anthropic/claude-4.5-sonnet-20250929 1M $3 / 1M tokens $15 / 1M tokens
Google
Google | anthropic/claude-4.5-sonnet-20250929 1M $3 / 1M tokens $15 / 1M tokens
Amazon Bedrock
Amazon Bedrock | anthropic/claude-4.5-sonnet-20250929 1M $3 / 1M tokens $15 / 1M tokens
Google
Google | anthropic/claude-4.5-sonnet-20250929 1M $3 / 1M tokens $15 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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