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Claude Opus 4.1

Anthropic

Strongest in Academic knowledge (#23 of 123), weakest in Safety (#221 of 329). Above par in 12 of 14 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5.5 and Claude Opus 5 and ahead of Qwen3.5 Flash and Grok 3 Mini.

§ 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.

Knowledge53.5#53/197
Academic knowledge58.4#23/123
Human preference61.5#65/354
Human preference61.5#65/354
Professional52.1#71/194
Legal53.9#56/173
Medical53#64/149
Finance50.5#97/162
Reasoning52.4#75/195
Reasoning53.2#52/147
Mathematics53.2#69/152
Science50.1#76/122
Safety48.5#221/329
Factual grounding45.3#75/104

§ 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 Opus 4.1, left for the other.

Jamba 1.6 Miniwon 10 · lost 0
Jamba 1.6 Largewon 10 · lost 0
Mistral Medium 3.5won 11 · lost 0
Mistral Medium 3.1won 12 · lost 0
Mistral Large 3won 14 · lost 0
DeepSeek V3won 13 · lost 1
Kimi K2won 13 · lost 1
GPT-4.1 nanowon 12 · lost 1
Gemini 1.5 Prowon 12 · lost 1
Gemini 2.0 Flashwon 12 · lost 1
Command R+won 11 · lost 1
GPT-4o miniwon 11 · lost 1
MiniMax M2.1won 11 · lost 1
Gemini 1.5 Flashwon 10 · lost 1
Claude 3.5 Haikuwon 10 · lost 1
Grok 2won 10 · lost 1
MiMo V2.5won 10 · lost 1
Magistral Small 1.2won 9 · lost 1
Llama 4 Scout Instructwon 12 · lost 2
Claude Sonnet 4won 12 · lost 2
Llama 3.3 70B Instructwon 11 · lost 2
Command Awon 11 · lost 2
Gemini 2.5 Flash-Litewon 11 · lost 2
GPT-4.1 miniwon 11 · lost 2
DeepSeek R1won 11 · lost 2
Mistral Large 2.1won 10 · lost 2
GPT OSS 20Bwon 10 · lost 2
Claude 3.5 Sonnetwon 10 · lost 2
Inkling Smallwon 10 · lost 2
Grok 4.3won 10 · lost 2
Qwen3.6 Pluswon 9 · lost 2
Mistral Large 4won 8 · lost 2
GPT-4owon 11 · lost 3
GPT-5 nanowon 11 · lost 3
O4 Miniwon 11 · lost 3
Grok 3won 11 · lost 3
Claude Haiku 4.5won 11 · lost 3
Grok 4.1 Fastwon 11 · lost 3
DeepSeek V4won 7 · lost 2
Magistral Medium 1.2won 7 · lost 2
Ling 3.0 Flashwon 7 · lost 2
DeepSeek V3.1won 7 · lost 2
MiMo V2.6 Flashwon 7 · lost 2
O3 Miniwon 10 · lost 3
Inklingwon 10 · lost 3
GLM-4.5won 9 · lost 3
Qwen3.8 27Bwon 9 · lost 3
GPT-6 Lunawon 8 · lost 3
GPT-5.4 nanowon 10 · lost 4
Grok 4 Fastwon 10 · lost 4
Claude Opus 4won 10 · lost 4
Claude 3.7 Sonnetwon 9 · lost 4
O1won 9 · lost 4
Grok 4won 9 · lost 4
MiniMax M2.7won 9 · lost 4
GLM-4.6won 9 · lost 4
MiniMax M3won 9 · lost 4
DeepSeek V4 Flashwon 9 · lost 4
GPT-5.4 miniwon 9 · lost 4
Kimi K2.5won 8 · lost 4
Gemini 3.5 Flash-Litewon 8 · lost 4
GPT OSS 120Bwon 9 · lost 5
MiniMax M2.5won 9 · lost 5
Gemini 2.5 Flashwon 9 · lost 5
DeepSeek V3.2won 9 · lost 5
GLM-4.7won 9 · lost 5
Qwen3 Maxwon 7 · lost 4
Gemini 3.1 Flash-Litewon 8 · lost 5
Kimi K2.6won 8 · lost 5
GLM-5.2won 8 · lost 5
MiMo V2.5 Prowon 7 · lost 5
GPT-4.1won 8 · lost 6
Grok 3 Miniwon 7 · lost 6
Qwen3.5 Flashwon 7 · lost 6
Claude Haiku 5.5won 5 · lost 5
Grok 4.7won 5 · lost 5
Grok 4.20won 6 · lost 6
GPT-5 miniwon 7 · lost 7
O3won 6 · lost 7
GLM-5.1won 6 · lost 7
GPT-5won 6 · lost 8
Gemini 2.5 Prowon 6 · lost 8
GLM-5won 6 · lost 8
Gemma 4 31Bwon 4 · lost 6
GPT-5.6 Lunawon 5 · lost 8
Qwen3.7 Maxwon 5 · lost 8
Kimi K2 Thinkingwon 4 · lost 7
GPT-5.2won 5 · lost 9
Claude Sonnet 4.5won 5 · lost 9
DeepSeek V4 Prowon 5 · lost 9
GLM-5.3won 4 · lost 8
GLM-5.3 Flashwon 4 · lost 9
Gemini 3.6 Flashwon 4 · lost 9
MiMo V2.6 Prowon 3 · lost 7
GPT-5.1won 4 · lost 10
Gemini 3 Flashwon 4 · lost 10
Claude Sonnet 5won 3 · lost 10
Gemini 3.5 Flashwon 3 · lost 10
Claude Sonnet 4.6won 3 · lost 11
Claude Opus 4.5won 3 · lost 11
GPT-5.4won 3 · lost 11
Qwen 3.5 Pluswon 2 · lost 9
Muse Sparkwon 2 · lost 9
Gemini 4 Argonwon 2 · lost 9
DeepSeek V4.1 Flashwon 2 · lost 10
Muse Spark 1.1won 2 · lost 10
GPT-5.6 Terrawon 2 · lost 11
Qwen3.8 Maxwon 2 · lost 11
Gemini 3.8 Flashwon 2 · lost 11
Gemini 3 Prowon 2 · lost 12
Gemini 3.1 Prowon 2 · lost 12
Claude Opus 4.6won 2 · lost 12
GPT-6.1 Solwon 1 · lost 9
Muse Spark 1.2won 1 · lost 10
GPT-6 Solwon 1 · lost 11
GPT-6 Astrawon 1 · lost 11
Kimi K3won 1 · lost 11
Grok 4.6won 1 · lost 12
Grok 4.5won 1 · lost 12
GPT-5.6 Solwon 1 · lost 13
Claude Opus 4.7won 1 · lost 13
Claude Sonnet 5.5won 0 · lost 10
Gemini 3.7 Flashwon 0 · lost 12
Claude Fable 5.1won 0 · lost 12
Claude Fable 5won 0 · lost 12
Claude Opus 5.5won 0 · lost 12
Claude Opus 4.8won 0 · lost 13
Claude Opus 5won 0 · lost 13
GPT-5.5won 0 · lost 14

§ 3 · Sources

Where the numbers come from

4 publications, 12 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1450
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 60%
Vals.ai ↗9 measuresread 2026-11-10
Vals · LegalBench 83.46%Vals · TaxEval 73.67%Vals · MortgageTax 56.12%Vals · MedQA 93.59%Vals · MedCode 47.23%Vals · MedScribe 73.9%Vals · GPQA Diamond 76.26%Vals · MMLU Pro 87.92%Vals · AIME 78.18%
Vectara · Factual consistency 88.2%

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