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Claude Fable 5.1

Anthropic

Strongest in Academic knowledge (#1 of 123), weakest in Instruction following (#15 of 57). Above par in 24 of 24 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Fable 5 and ahead of GPT-6 Astra and Claude Opus 5.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Knowledge61.6#2/138
Academic knowledge63.9#1/123
Coding66.5#2/165
Code generation68.4#2/77
Agentic coding65.9#3/157
Reasoning66.2#3/178
Mathematics65.7#2/140
Reasoning68.2#3/140
Science62.1#9/122
Core abilities65.8#3/204
Language69.2#2/57
General intelligence69.7#3/204
Data analysis61.6#5/57
Instruction following58.9#15/57
Agents66#4/268
Knowledge work70.8#2/178
Professional60.1#5/168
Medical63.3#3/140
IT operations55.1#4/11
Finance60.1#5/151
Cybersecurity55.3#5/9
Legal61.1#8/151
Human preference66.7#5/342
Human preference66.7#5/342

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Claude Fable 5.1, left for the other.

GPT OSS 20Bwon 15 · lost 0
GPT-4owon 15 · lost 0
GPT-5 Nanowon 15 · lost 0
Claude 3.7 Sonnetwon 15 · lost 0
MiniMax M2.7won 15 · lost 0
Qwen3 Maxwon 15 · lost 0
Grok 4.1 Fastwon 15 · lost 0
Mimo V2.5won 15 · lost 0
Gemma 4 31Bwon 15 · lost 0
Muse Sparkwon 15 · lost 0
Qwen3.6 27Bwon 16 · lost 0
Nemotron 3 Ultrawon 16 · lost 0
Llama 4 Scout Instructwon 16 · lost 0
Command Awon 16 · lost 0
Gemini 2.0 Flashwon 16 · lost 0
Grok 3 Miniwon 16 · lost 0
MiniMax M2.5won 16 · lost 0
Grok 4 Fastwon 16 · lost 0
Inkling Smallwon 16 · lost 0
GLM-4.7won 16 · lost 0
GLM-5won 16 · lost 0
GLM-5.1won 16 · lost 0
O3 Miniwon 17 · lost 0
Grok 4won 17 · lost 0
GPT-4.1won 17 · lost 0
Kimi K2won 17 · lost 0
Qwen3 235B A22B Instructwon 17 · lost 0
GLM-4.6won 17 · lost 0
Mistral Medium 3.5won 17 · lost 0
Claude Opus 4won 17 · lost 0
Gemini 3.1 Flash Litewon 17 · lost 0
Mimo V2.5 Prowon 17 · lost 0
Gemini 3 Prowon 17 · lost 0
GPT-4o Miniwon 18 · lost 0
GPT-4.1 Nanowon 18 · lost 0
GPT OSS 120Bwon 18 · lost 0
GPT-4.1 Miniwon 18 · lost 0
GPT-5 Miniwon 18 · lost 0
O4 Miniwon 18 · lost 0
Gemini 2.5 Flashwon 18 · lost 0
Mistral Large 3won 18 · lost 0
Claude Haiku 4.5won 18 · lost 0
DeepSeek R1won 18 · lost 0
DeepSeek V3.2won 18 · lost 0
O3won 18 · lost 0
GPT-5won 18 · lost 0
Kimi K2.5won 18 · lost 0
Claude Sonnet 4.5won 18 · lost 0
DeepSeek V3won 19 · lost 0
Claude Sonnet 4won 19 · lost 0
GPT-6 Lunawon 19 · lost 0
Gemini 2.5 Prowon 19 · lost 0
GPT-5.2won 21 · lost 0
GPT-5.4 Miniwon 21 · lost 0
Claude Opus 4.5won 21 · lost 0
GPT-5.4 Nanowon 22 · lost 0
Qwen3.8 27Bwon 22 · lost 0
MiniMax M3won 22 · lost 0
Inklingwon 22 · lost 0
Grok 4.3won 22 · lost 0
Qwen3.6 Pluswon 22 · lost 0
GPT-5.6 Lunawon 22 · lost 0
Gemini 3.5 Flash Litewon 22 · lost 0
Kimi K2.6won 22 · lost 0
Claude Sonnet 5won 22 · lost 0
GPT-5.6 Terrawon 22 · lost 0
Claude Sonnet 4.6won 22 · lost 0
GLM-5.3 Flashwon 22 · lost 0
GPT-5.4won 22 · lost 0
Claude Opus 4.8won 22 · lost 0
DeepSeek V4 Flashwon 23 · lost 0
DeepSeek V4 Prowon 23 · lost 0
Grok 4.5won 23 · lost 0
GLM-5.2won 23 · lost 0
GLM-5.3won 23 · lost 0
Kimi K3won 23 · lost 0
DeepSeek V4.1 Flashwon 22 · lost 1
GPT-5.5won 22 · lost 1
Qwen3.7 Maxwon 21 · lost 1
Gemini 3.5 Flashwon 21 · lost 1
GPT-6 Solwon 18 · lost 1
GPT-5.1won 15 · lost 1
Grok 4.6won 21 · lost 2
Gemini 3.7 Flashwon 21 · lost 2
Gemini 3.8 Flashwon 21 · lost 2
Qwen3.8 Maxwon 20 · lost 2
Gemini 3.6 Flashwon 20 · lost 2
Gemini 3.1 Prowon 20 · lost 2
Claude Opus 4.7won 20 · lost 2
Claude Opus 4.6won 18 · lost 2
Grok 4.7won 17 · lost 2
GPT-5.6 Solwon 21 · lost 3
Muse Spark 1.1won 19 · lost 3
Muse Spark 1.2won 18 · lost 3
Muse Spark 1.3won 15 · lost 4
Claude Opus 5won 18 · lost 6
GPT-6 Astrawon 15 · lost 6
Claude Fable 5won 10 · lost 12
Claude Opus 5.5won 8 · lost 12

§ 3 · Sources

Where the numbers come from

9 publications, 30 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1501
Artificial Analysis ↗1 measureread 2026-09-26
Artificial Analysis Intelligence Index 53
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 1735
AA-Briefcase ↗1 measureread 2026-09-26
AA-Briefcase 1678
Terminal-Bench ↗1 measureread 2026-09-26
Terminal-Bench 57.9% (Claude Code)
ARC-AGI-2 ↗1 measureread 2026-09-26
ARC-AGI-2 90%
LiveBench ↗8 measuresread 2026-09-26
LiveBench 83.4LiveBench · Reasoning 91.7LiveBench · Coding 86.4LiveBench · Agentic Coding 66.1LiveBench · Mathematics 97LiveBench · Data Analysis 80.3LiveBench · Language 89.5LiveBench · Instruction Following 73
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 86.6%
Vals.ai ↗15 measuresread 2026-09-26
Vals · Legal Research Bench 55.29%Vals · LegalBench 88.51%Vals · Harvey Legal Agent Benchmark 6.67%Vals · Finance Agent 58.88%Vals · TaxEval 75.96%Vals · MortgageTax 70.79%Vals · MedCode 53.51%Vals · MedScribe 91.29%Vals · CyberBench 70.42%Vals · SRE Bench 22.9%Vals · Vibe Code Bench 90.26% (OpenHands)Vals · Code Migration 54.61%Vals · GPQA Diamond 93.43%Vals · MMLU Pro 92.38%Vals · ProofBench 100%

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