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AClaude Opus 4.5 (batch)API

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use.

200KContext window · tokens
$2.5Input price · per M tokens
$12.5Output 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 Opus 4.5 (batch), measured by Artificial Analysis. Higher is better. Measurement mode: Non-reasoning.

Intelligence index35.6
Math index62.7
GPQA81%
MMLU-Pro88.9%
Humanity's Last Exam13.2%
Long Context Reasoning67.3%
LiveCodeBench73.8%
SciCode47%
AIME 202562.7%
IFBench43%
τ²-Bench86.3%
Terminal-Bench Hard40.9%
💰 Blended price$10 / 1M tokens
📈 Value3.6 intelligence points per $
vs. models measured heretop 37%
Scores higher than 63% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $1.72 per 1M tokens (median of 25) — this one costs $5.
Cheaper and better on this index: GPT-5.6 Sol · Grok 4.6 · GPT-5.6 Sol (batch) and 71 more
Benchmark data by Artificial Analysis

About this model

Claude Opus 4.5 (batch) 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 Opus 4.5 (batch)?

Claude Opus 4.5 (batch) is an AI language model from Anthropic. It is a proprietary model, available through an API. It scores 35.6 on the Artificial Analysis intelligence index.

Is Claude Opus 4.5 (batch) free?

Claude Opus 4.5 (batch) is not free: it costs $2.5 per million input tokens and $12.5 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is Claude Opus 4.5 (batch) good at?

Independent benchmarks from Artificial Analysis give it GPQA 81%, MMLU-Pro 88.9%, Humanity's Last Exam 13.2%, Long Context Reasoning 67.3%, LiveCodeBench 73.8%, SciCode 47%, AIME 2025 62.7%, IFBench 43%, τ²-Bench 86.3%, Terminal-Bench Hard 40.9%. It is particularly used for mathematical reasoning.

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