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AClaude Opus 4.7API

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents.

1MContext window · tokens
$5Input price · per M tokens
$25Output 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 4.7, measured by Artificial Analysis. Higher is better. Measurement mode: Adaptive Reasoning, Max Effort.

Intelligence index55
Coding index73.6
GPQA91.4%
Humanity's Last Exam42.3%
Long Context Reasoning75.3%
SciCode54.5%
IFBench58.6%
τ²-Bench88.6%
τ-Bench Banking34.6%
Terminal-Bench83.1%
Terminal-Bench Hard51.5%
💰 Blended price$10 / 1M tokens
📈 Value5.5 intelligence points per $
vs. models measured heretop 10%
Scores higher than 90% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $2.81 per 1M tokens (median of 17) — this one costs $10.
Cheaper and better on this index: Claude Opus 5 (batch) · GPT-5.6 Sol · Grok 4.6 and 16 more
Benchmark data by Artificial Analysis

About this model

Claude Opus 4.7 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 4.7?

Claude Opus 4.7 is an AI language model from Anthropic. It is a proprietary model, available through an API. It scores 55 on the Artificial Analysis intelligence index.

Is Claude Opus 4.7 free?

Claude Opus 4.7 is not free: it costs $5 per million input tokens and $25 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is Claude Opus 4.7 good at?

Independent benchmarks from Artificial Analysis give it GPQA 91.4%, Humanity's Last Exam 42.3%, Long Context Reasoning 75.3%, SciCode 54.5%, IFBench 58.6%, τ²-Bench 88.6%, τ-Bench Banking 34.6%, Terminal-Bench 83.1%, Terminal-Bench Hard 51.5%. It is particularly used for code generation.

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