Anthropic

AClaude Opus 4.8 (batch)API

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family.

Context window
1M
tokens
Input price
$2.5
per M tokens
Output price
$12.5
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 Opus 4.8 (batch), measured by Artificial Analysis. Higher is better. Measurement mode: Adaptive Reasoning, Max Effort.

Intelligence index55.7
Coding index74.3
GPQA92%
Humanity's Last Exam45.7%
Long Context Reasoning67.7%
SciCode53.5%
IFBench62.2%
τ²-Bench94.4%
τ-Bench Banking27.6%
Terminal-Bench84.6%
Terminal-Bench Hard58.3%
⚡ Speed61.9 tokens/sec
⏱ Latency29.76s to first token
💰 Blended price$10 / 1M tokens
📈 Value5.6 intelligence points per $
Benchmark data by Artificial Analysis

About this model

Claude Opus 4.8 (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 Opus 4.8 (batch)?

Claude Opus 4.8 (batch) is an AI language model from Anthropic. It is a proprietary model, available through an API. It scores 55.7 on the Artificial Analysis intelligence index.

Is Claude Opus 4.8 (batch) free?

Claude Opus 4.8 (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 4.8 (batch) good at?

Independent benchmarks from Artificial Analysis give it GPQA 92%, Humanity's Last Exam 45.7%, Long Context Reasoning 67.7%, SciCode 53.5%, IFBench 62.2%, τ²-Bench 94.4%, τ-Bench Banking 27.6%, Terminal-Bench 84.6%, Terminal-Bench Hard 58.3%. It is particularly used for code generation.

How fast is Claude Opus 4.8 (batch)?

It generates about 61.9 tokens per second, with a median 29.76s delay before the first token. Measured independently by Artificial Analysis.

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