Anthropic

AClaude Fable 5 (batch)API

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding.

Context window
1M
tokens
Input price
$5
per M tokens
Output price
$25
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 Fable 5 (batch), measured by Artificial Analysis. Higher is better. Measurement mode: Adaptive Reasoning, Max Effort, Opus 4.8 Fallback.

Intelligence index59.9
Coding index76.5
GPQA92.6%
Humanity's Last Exam53.3%
Long Context Reasoning70%
SciCode60.2%
IFBench63.5%
τ²-Bench98.5%
τ-Bench Banking26.8%
Terminal-Bench84.6%
Terminal-Bench Hard62.9%
⚡ Speed59.4 tokens/sec
⏱ Latency61.86s to first token
💰 Blended price$20 / 1M tokens
📈 Value3 intelligence points per $
Benchmark data by Artificial Analysis

About this model

Claude Fable 5 (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 Fable 5 (batch)?

Claude Fable 5 (batch) is an AI language model from Anthropic. It is a proprietary model, available through an API. It scores 59.9 on the Artificial Analysis intelligence index.

Is Claude Fable 5 (batch) free?

Claude Fable 5 (batch) 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 Fable 5 (batch) good at?

Independent benchmarks from Artificial Analysis give it GPQA 92.6%, Humanity's Last Exam 53.3%, Long Context Reasoning 70%, SciCode 60.2%, IFBench 63.5%, τ²-Bench 98.5%, τ-Bench Banking 26.8%, Terminal-Bench 84.6%, Terminal-Bench Hard 62.9%. It is particularly used for code generation.

How fast is Claude Fable 5 (batch)?

It generates about 59.4 tokens per second, with a median 61.86s delay before the first token. Measured independently by Artificial Analysis.

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