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AClaude Sonnet 4.5API

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows.

1MContext window · tokens
$3Input price · per M tokens
$15Output price · per M tokens
AnthropicProvider

Prices update automatically — checked daily against provider list prices.

See open-source alternatives → Compare all model prices

Benchmarks & performance

Independent benchmark scores for Claude Sonnet 4.5, measured by Artificial Analysis. Higher is better. Measurement mode: Reasoning.

Intelligence index37.4
Coding index52.1
Math index88
GPQA83.4%
MMLU-Pro87.5%
Humanity's Last Exam17.8%
Long Context Reasoning68.3%
LiveCodeBench71.4%
SciCode44.7%
AIME 202588%
IFBench57.3%
τ²-Bench78.1%
τ-Bench Banking24.5%
Terminal-Bench55.8%
Terminal-Bench Hard35.6%
💰 Blended price$6 / 1M tokens
📈 Value6.2 intelligence points per $
vs. models measured heretop 35%
Scores higher than 65% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $1.56 per 1M tokens (median of 25) — this one costs $6.
Cheaper and better on this index: Claude Opus 5 (batch) · GPT-5.6 Sol · Grok 4.6 and 71 more
Benchmark data by Artificial Analysis

About this model

Claude Sonnet 4.5 is a commercial AI model by Anthropic. The specifications below are tracked automatically: pricing is refreshed daily from public list prices, so the numbers on this page reflect the current cost of using the model through its API.

Frequently asked questions

What is Claude Sonnet 4.5?

Claude Sonnet 4.5 is an AI language model from Anthropic. It is a proprietary model, available through an API. It scores 37.4 on the Artificial Analysis intelligence index.

Is Claude Sonnet 4.5 free?

Claude Sonnet 4.5 is not free: it costs $3 per million input tokens and $15 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is Claude Sonnet 4.5 good at?

Independent benchmarks from Artificial Analysis give it GPQA 83.4%, MMLU-Pro 87.5%, Humanity's Last Exam 17.8%, Long Context Reasoning 68.3%, LiveCodeBench 71.4%, SciCode 44.7%, AIME 2025 88%, IFBench 57.3%, τ²-Bench 78.1%, τ-Bench Banking 24.5%, Terminal-Bench 55.8%, Terminal-Bench Hard 35.6%. It is particularly used for code generation.

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