Anthropic

AClaude Sonnet 4.5 (batch)API

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

Context window
1M
tokens
Input price
$1.5
per M tokens
Output price
$7.5
per M tokens
Provider
Anthropic

Prices update automatically — checked hourly against provider list prices.

See open-source alternatives → Compare all model prices

Benchmarks & performance

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

Intelligence index36.4
Coding index52.1
Math index88
GPQA83.4%
MMLU-Pro87.5%
Humanity's Last Exam17.3%
Long Context Reasoning65.7%
LiveCodeBench71.4%
SciCode44.7%
AIME 202588%
IFBench57.3%
τ²-Bench78.1%
τ-Bench Banking19%
Terminal-Bench55.8%
Terminal-Bench Hard35.6%
💰 Blended price$6 / 1M tokens
📈 Value6.1 intelligence points per $
Benchmark data by Artificial Analysis

About this model

Claude Sonnet 4.5 (batch) is a commercial AI model by Anthropic. The specifications below are tracked automatically: pricing is refreshed hourly 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 (batch)?

Claude Sonnet 4.5 (batch) is an AI language model from Anthropic. It is a proprietary model, available through an API. It scores 36.4 on the Artificial Analysis intelligence index.

Is Claude Sonnet 4.5 (batch) free?

Claude Sonnet 4.5 (batch) is not free: it costs $1.5 per million input tokens and $7.5 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is Claude Sonnet 4.5 (batch) good at?

Independent benchmarks from Artificial Analysis give it GPQA 83.4%, MMLU-Pro 87.5%, Humanity's Last Exam 17.3%, Long Context Reasoning 65.7%, LiveCodeBench 71.4%, SciCode 44.7%, AIME 2025 88%, IFBench 57.3%, τ²-Bench 78.1%, τ-Bench Banking 19%, Terminal-Bench 55.8%, Terminal-Bench Hard 35.6%. It is particularly used for code generation.

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