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Claude Fable 5

by Anthropic · Released Jun 2026

Multimodal1M Context
83.6
avg score
Rank #15
Compare
Top 5% of all models
Context
1.0M tokens (~500 books)
Input $/1M
$10.00
Output $/1M
$50.00
Type
multimodal
License
Proprietary
Benchmarks
30 tested
Data as of
About

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...

Tested on 30 benchmarks · BenchGecko score 83.6. Top scores: Chatbot Arena Elo — Coding (1653.9%), Chatbot Arena Elo — Overall (1507.6%), OTIS Mock AIME 2024-2025 (100.0%).

Looking for similar performance at lower cost?
MiMo-V2-Flash scores 81.7 (98% as good) at $0.09/1M input · 99% cheaper
Capabilities
coding
67.4
#24 globally
reasoning
88.7
#9 globally
math
92.4
#12 globally
knowledge
59.5
#63 globally
agentic
63.6
#12 globally
general
58.8
#20 globally
speed
63.1
#4 globally
Benchmark Scores
Compare All
Tested on 30 benchmarks · Ranked across 8 categories
Score Distribution (all 319 models)
0255075100
▲ You are here
codingCompare coding →
WeirdML

Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.

91.9·
GSO-Bench

GitHub Star Optimization benchmark. Evaluates ability to understand and improve open-source projects to increase quality and adoption.

78.4·
Deepswe
69.9·
reasoningCompare reasoning →
ARC-AGI

Abstraction and Reasoning Corpus. Tests fluid intelligence through novel visual pattern recognition puzzles. Core measure of general intelligence.

98.5·
ARC-AGI-2

ARC-AGI 2, harder sequel to ARC. More complex abstract reasoning patterns that test generalization ability beyond training data.

89.2·
SimpleBench

Deceptively simple questions that humans find easy but AI models often get wrong. Tests common sense and reasoning gaps.

78.3·
mathCompare math →
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

100.0·
FrontierMath-Tier-4-v2-Private
90.2·
FrontierMath-Tiers-1-3-v2-Private
87.0·
Quick compare:Anthropic logovs Claude Opus 4.6 (Fast)Anthropic logovs Claude Fable 5.1vs PaLM 2-L
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Similar Models
Anthropic logo
Claude Opus 4.6 (Fast)
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83.3$30.00/1M
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Claude Fable 5.1
Anthropic
84.5$10.00/1M
PaLM 2-L
Unknown
81.8n/a
Links
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claude-fable-5
Specifications
  • Typemultimodal
  • Context1.0M tokens (~500 books)
  • ReleasedJun 2026
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.070
Available On
Anthropic logoAnthropic$10.00
Categories
codingreasoningmathknowledgeagenticgeneralspeed
Learn More
context-windowtransformertokens
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Related Models
Anthropic logoClaude Opus 4.6 (Fast)
83.3
Anthropic logoClaude Fable 5.1
84.5
PaLM 2-L
81.8
xiaomi logoMiMo-V2-Flash
81.7
Claude Fable 5 is a proprietary multimodal AI model by Anthropic, released in June 2026. It has an average benchmark score of 83.6. Context window: 1M tokens.

Related Models

Claude Opus 4.6 (Fast) · AnthropicClaude Fable 5.1 · AnthropicPaLM 2-L · UnknownMiMo-V2-Flash · xiaomiGPT-5.1-Codex-Max · OpenAI

Benchmarks

Chatbot Arena Elo — CodingChatbot Arena Elo — OverallOTIS Mock AIME 2024-2025ARC-AGIDtbench

Related Pages

Anthropic · ProviderAnthropic · EconomyAll ModelsCompare ModelsPricingDevelopers · APIContext Window · Glossary

Key facts · as of 2026-10-16

  • Claude Fable 5 by Anthropic. BenchGecko score 83.6, rank 15 of 319 scored models (normalized average of public benchmark scores).
  • List price $10.00 input · $50.00 output per 1M tokens (as of 2026-10-16).
  • Sold by 6 providers (as of 2026-10-16): Amazon Bedrock $10.00 in / $50.00 out · Anthropic $10.00 in / $50.00 out · Azure $10.00 in / $50.00 out · Claude Platform on AWS $10.00 in / $50.00 out · Google $10.00 in / $50.00 out · and 1 more. Every provider

How to cite · data as of 2026-10-16

Claude Fable 5 · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-16. https://benchgecko.ai/model/claude-fable-5

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP