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AClaude Opus 5.5 (batch)API

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5.

1MContext window · tokens
$2Input price · per M tokens
$10Output 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 5.5 (batch), measured by Artificial Analysis. Higher is better. Measurement mode: Max, Default Fallback.

Intelligence index57.6
Humanity's Last Exam61.4%
Long Context Reasoning84.7%
SciCode66.9%
⚡ Speed97.4 tokens/sec
⏱ Latency533.45s to first token
💰 Blended price$8 / 1M tokens
📈 Value7.2 intelligence points per $
vs. models measured heretop 1%
Scores higher than 99% of the 291 models measured by Artificial Analysis and tracked here.
Models at this level cost $4 per 1M tokens (median of 3) — this one costs $4.
No model tracked here is both cheaper and better on this index.
Benchmark data by Artificial Analysis

About this model

Claude Opus 5.5 (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 5.5 (batch)?

Claude Opus 5.5 (batch) is an AI language model from Anthropic. It is a proprietary model, available through an API. It scores 57.6 on the Artificial Analysis intelligence index.

Is Claude Opus 5.5 (batch) free?

Claude Opus 5.5 (batch) is not free: it costs $2 per million input tokens and $10 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is Claude Opus 5.5 (batch) good at?

Independent benchmarks from Artificial Analysis give it Humanity's Last Exam 61.4%, Long Context Reasoning 84.7%, SciCode 66.9%.

How fast is Claude Opus 5.5 (batch)?

It generates about 97.4 tokens per second, with a median 533.45s delay before the first token. Measured independently by Artificial Analysis.

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