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AClaude Opus 5 (batch)API

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work.

1MContext 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 5 (batch), measured by Artificial Analysis. Higher is better. Measurement mode: Max.

Intelligence index50.8
Coding index78
GPQA93.2%
Humanity's Last Exam54.9%
Long Context Reasoning79.3%
SciCode56.4%
τ-Bench Banking42.1%
Terminal-Bench89.1%
💰 Blended price$10 / 1M tokens
📈 Value5.1 intelligence points per $
vs. models measured heretop 3%
Scores higher than 97% of the 291 models measured by Artificial Analysis and tracked here.
Models at this level cost $10 per 1M tokens (median of 6) — this one costs $5.
Cheaper and better on this index: Claude Opus 5.5 (batch) · Claude Sonnet 5.5 · Claude Sonnet 5.5 (batch) and 1 more
Benchmark data by Artificial Analysis

About this model

Claude Opus 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 5 (batch)?

Claude Opus 5 (batch) is an AI language model from Anthropic. It is a proprietary model, available through an API. It scores 50.8 on the Artificial Analysis intelligence index.

Is Claude Opus 5 (batch) free?

Claude Opus 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 5 (batch) good at?

Independent benchmarks from Artificial Analysis give it GPQA 93.2%, Humanity's Last Exam 54.9%, Long Context Reasoning 79.3%, SciCode 56.4%, τ-Bench Banking 42.1%, Terminal-Bench 89.1%. It is particularly used for code generation.

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