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AClaude Opus 4.8 (Fast)API

Fast-mode variant of Opus 4.8 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 4.8.

1MContext window · tokens
$10Input price · per M tokens
$50Output 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 4.8 (Fast), measured by Artificial Analysis. Higher is better. Measurement mode: Adaptive Reasoning, Max Effort.

Intelligence index57.3
Coding index74.3
GPQA92%
Humanity's Last Exam48.7%
Long Context Reasoning73%
SciCode53.5%
IFBench62.2%
τ²-Bench94.4%
τ-Bench Banking34.2%
Terminal-Bench84.6%
Terminal-Bench Hard58.3%
💰 Blended price$10 / 1M tokens
📈 Value5.7 intelligence points per $
vs. models measured heretop 6%
Scores higher than 94% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $3 per 1M tokens (median of 15) — this one costs $20.
Cheaper and better on this index: Claude Opus 5 · Claude Opus 5 (batch) · Claude Fable 5 (batch) and 8 more
Benchmark data by Artificial Analysis

About this model

Claude Opus 4.8 (Fast) 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 4.8 (Fast)?

Claude Opus 4.8 (Fast) is an AI language model from Anthropic. It is a proprietary model, available through an API. It scores 57.3 on the Artificial Analysis intelligence index.

Is Claude Opus 4.8 (Fast) free?

Claude Opus 4.8 (Fast) is not free: it costs $10 per million input tokens and $50 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is Claude Opus 4.8 (Fast) good at?

Independent benchmarks from Artificial Analysis give it GPQA 92%, Humanity's Last Exam 48.7%, Long Context Reasoning 73%, SciCode 53.5%, IFBench 62.2%, τ²-Bench 94.4%, τ-Bench Banking 34.2%, Terminal-Bench 84.6%, Terminal-Bench Hard 58.3%. It is particularly used for code generation.

Related models

Claude Opus 4.7 (Fast)AnthropicClaude Opus 4.1AnthropicClaude Opus 4AnthropicClaude Fable 5AnthropicClaude Opus 5 (Fast)AnthropicClaude Opus 4.1 (batch)Anthropic