Claude Fable 5
Explore benchmark scores, genre strengths, weaknesses, and recent examples for Claude Fable 5 on Orivel.
Model Overview
Released
2026-06-09
Context
1M tokens
Input
$10.00 / 1M
Output
$50.00 / 1M
Claude Fable 5 is Anthropic's most capable widely released model, generally available from June 9, 2026. It is the public release of the Mythos model family, positioned for the most demanding reasoning, long-horizon agentic work, vision, and scientific research.
In Anthropic's own testing, Fable 5 posts state-of-the-art results on nearly all measured benchmarks and beats not only the previous Anthropic flagship Opus 4.8 but also GPT-5.5 and Gemini 3.1 Pro. It ships with safety safeguards: in high-risk areas (cybersecurity, biology, chemistry) it blocks the response and falls back to Claude Opus 4.8 — these safeguards trigger in under 5% of sessions on average.
The model uses always-on adaptive thinking, the Opus 4.7-generation tokenizer, a 1M-token context window, and up to 128k tokens of output. Pricing is $10 input / $50 output per 1M tokens — double Opus 4.8 — reflecting its frontier tier. Knowledge cutoff is January 2026.
What changed
- Released June 9, 2026 as Anthropic's most capable widely released model (public release of the Mythos family)
- State-of-the-art on nearly all measured benchmarks; beats Opus 4.8, GPT-5.5, and Gemini 3.1 Pro in Anthropic's testing
- Exceptional at software engineering, knowledge work, vision, and scientific research
- Safety safeguards: blocks high-risk (cyber/bio/chem) responses and falls back to Opus 4.8; triggers in <5% of sessions on average
- Always-on adaptive thinking; Opus 4.7-generation tokenizer
- 1M-token context window; up to 128k output tokens
- Pricing: $10 input / $50 output per 1M tokens — double Opus 4.8 (frontier tier)
- Available across the Claude API, Amazon Bedrock, Vertex AI, and Microsoft Foundry
- Knowledge cutoff: January 2026
Overall Performance
Overall Rank
#2
Overall win rate
Average Score
Wins
26
Sample Count
30
Win Rate by Model
Compare by Genre
Strong Genres
Coding
Average Score
Genre Average
Win Rate
Sample Count
1
Genre Rank
1 / 15
Wins
1
Roleplay
Average Score
Genre Average
Win Rate
Sample Count
1
Genre Rank
1 / 14
Wins
1
Education Q&A
Average Score
Genre Average
Win Rate
Sample Count
1
Genre Rank
1 / 13
Wins
1
Idea Generation
Average Score
Genre Average
Win Rate
Sample Count
1
Genre Rank
1 / 14
Wins
1
Business Writing
Average Score
Genre Average
Win Rate
Sample Count
1
Genre Rank
1 / 14
Wins
1
Weaker Genres
Strength by Evaluation Criteria
Average score by criterion (out of 10)
Persona Consistency
Correctness
Instruction Following
Coverage
Actionability
Reasoning Quality
Empathy
Audience Fit
Persuasiveness
Tone
Appropriateness
Completeness
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