Claude Fable 5
claude-fable-5Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and... Built by Anthropic.
Prices updated
Input price
$10
per 1M tokens · Standard
Output price
$50
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
128K
tokens
Input formats
Output formats
Claude Fable 5 price history
2 price records since 9/25/2026
Claude Fable 5 cost calculator
$450/month
Standard pricing
Overview
What is Claude Fable 5?
Claude Fable 5 is a text & reasoning and vision model from Anthropic. Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and... Its 1M context window and $10 input price make it a candidate for quality-focused production applications.
Benchmarks
Claude Fable 5 benchmarks & speed
How Claude Fable 5 scores on standardized evaluations, and where it lands among every model we track.
49.6
Intelligence Index
61tok/s
Output speed
1315
DesignArena Elo
Reasoning
GPQA Diamond
92.6%
Graduate-level scientific reasoning · top 11%
HLE
55.5%
Humanity's Last Exam · top 1%
Coding
SciCode
61.0%
Python for scientific computing · top 3%
Latency & design
- Time to first token
- 91.83s
- DesignArena win rate
- 57.7%
- Design battles judged
- 20,207
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Claude Fable 5 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$10
Per 1M tokens
Cached input · Standard
$1.00
Per 1M tokens
Capabilities
Claude Fable 5 Tools
Tools available when using Claude Fable 5 through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Not supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 49.6 · DesignArena Elo 1315) position it for demanding production work.
- 1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 5× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider