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Mistral Medium 3.1

Mistral

Strongest in Medical (#101 of 149), weakest in Safety (#303 of 327). Above par in 2 of 14 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 4.7 and Gemini 3.1 Pro and ahead of Command A and Llama 4 Maverick Instruct.

§ 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.

Human preference57.4#127/354
Human preference57.4#127/354
Reasoning45.8#131/195
Mathematics43.6#113/152
Knowledge46.9#143/197
Academic knowledge42.6#102/123
Professional41.9#176/194
Medical47.2#101/149
Finance39.7#139/162
Legal37.6#158/173
Agents44.3#233/298
Knowledge work40.8#148/208
Safety42.5#303/327
Factual grounding26#101/104

§ 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 Mistral Medium 3.1, left for the other.

GPT-4.1 nanowon 12 · lost 1
GPT-4o miniwon 10 · lost 2
Gemini 1.5 Flashwon 8 · lost 2
Llama 4 Scout Instructwon 11 · lost 3
Jamba 1.6 Miniwon 7 · lost 2
Jamba 1.6 Largewon 7 · lost 2
Claude 3.5 Haikuwon 8 · lost 4
Llama 3.3 70B Instructwon 8 · lost 5
Command R+won 6 · lost 4
Gemini 1.5 Prowon 6 · lost 4
Mistral Large 2.1won 7 · lost 5
Command Awon 7 · lost 6
Mistral Medium 3.5won 6 · lost 6
GPT-4owon 7 · lost 7
Magistral Small 1.2won 5 · lost 6
Grok 2won 4 · lost 5
Trinity Largewon 4 · lost 5
Magistral Medium 1.2won 4 · lost 6
Claude 3.5 Sonnetwon 4 · lost 6
GPT OSS 20Bwon 5 · lost 8
Gemini 2.5 Flash-Litewon 5 · lost 8
Gemini 2.0 Flashwon 4 · lost 7
DeepSeek V3won 5 · lost 9
Inkling Smallwon 4 · lost 8
GPT-5 nanowon 4 · lost 9
O3 Miniwon 4 · lost 9
Claude 3.7 Sonnetwon 3 · lost 9
Qwen3.5 Flashwon 3 · lost 9
MiMo V2.5won 3 · lost 9
Gemini 3.5 Flash-Litewon 3 · lost 9
GPT-4.1 miniwon 3 · lost 10
O4 Miniwon 3 · lost 10
GPT-5 miniwon 3 · lost 11
GPT-5.4 nanowon 3 · lost 11
Claude Sonnet 4won 3 · lost 11
Mistral Large 3won 3 · lost 11
Gemini 3.1 Flash-Litewon 3 · lost 11
Grok 3 Miniwon 2 · lost 9
O1won 2 · lost 9
Gemma 4 31Bwon 2 · lost 9
MiniMax M2.1won 2 · lost 10
MiniMax M2.5won 2 · lost 10
Grok 4 Fastwon 2 · lost 10
Qwen3.8 27Bwon 2 · lost 10
GPT-4.1won 2 · lost 11
Grok 4.1 Fastwon 2 · lost 11
MiniMax M3won 2 · lost 11
Grok 4.3won 2 · lost 11
MiMo V2.5 Prowon 2 · lost 11
GLM-5.3 Flashwon 2 · lost 11
GPT OSS 120Bwon 2 · lost 12
Claude Haiku 4.5won 2 · lost 12
DeepSeek R1won 2 · lost 12
Gemini 2.5 Prowon 2 · lost 12
Ling 3.0 Flashwon 1 · lost 9
Qwen3 Maxwon 1 · lost 9
Grok 4.20won 1 · lost 9
Grok 3won 1 · lost 11
Claude Opus 4won 1 · lost 11
Qwen3.6 Pluswon 1 · lost 11
Gemini 2.5 Flashwon 1 · lost 12
Kimi K2won 1 · lost 12
Inklingwon 1 · lost 12
GLM-5.1won 1 · lost 12
MiniMax M2.7won 1 · lost 13
GLM-4.7won 1 · lost 13
Kimi K2.6won 1 · lost 13
Kimi K2 Thinkingwon 0 · lost 9
Step 5won 0 · lost 9
Muse Spark 1.3won 0 · lost 9
Muse Wonderwon 0 · lost 9
Qwen 3.5 Pluswon 0 · lost 10
GLM-4.5won 0 · lost 11
Claude Haiku 5.5won 0 · lost 11
Mistral Large 4won 0 · lost 11
Grok 4.7won 0 · lost 11
MiMo V2.6 Flashwon 0 · lost 11
Claude Sonnet 5.5won 0 · lost 11
MiMo V2.6 Prowon 0 · lost 11
GPT-6.1 Solwon 0 · lost 11
Grok 4won 0 · lost 12
O3won 0 · lost 12
GPT-6 Lunawon 0 · lost 12
Claude Opus 4.1won 0 · lost 12
GLM-5won 0 · lost 12
Gemini 3 Flashwon 0 · lost 12
GLM-5.3won 0 · lost 12
Kimi K3won 0 · lost 12
Muse Sparkwon 0 · lost 12
Gemini 3.7 Flashwon 0 · lost 12
Muse Spark 1.2won 0 · lost 12
Claude Fable 5.1won 0 · lost 12
Claude Opus 4.6won 0 · lost 12
Claude Fable 5won 0 · lost 12
Gemini 4 Argonwon 0 · lost 12
Qwen3 235B A22B Instructwon 0 · lost 13
GPT-5.2won 0 · lost 13
DeepSeek V4 Flashwon 0 · lost 13
GPT-5.4 miniwon 0 · lost 13
GPT-5.6 Lunawon 0 · lost 13
Grok 4.6won 0 · lost 13
GPT-6 Solwon 0 · lost 13
Claude Sonnet 5won 0 · lost 13
Grok 4.5won 0 · lost 13
GPT-5.6 Terrawon 0 · lost 13
Qwen3.7 Maxwon 0 · lost 13
GPT-6 Astrawon 0 · lost 13
Claude Opus 4.5won 0 · lost 13
DeepSeek V4.1 Flashwon 0 · lost 13
GLM-5.2won 0 · lost 13
Gemini 3.5 Flashwon 0 · lost 13
Claude Opus 4.8won 0 · lost 13
Gemini 3.6 Flashwon 0 · lost 13
Qwen3.8 Maxwon 0 · lost 13
Gemini 3 Prowon 0 · lost 13
Claude Opus 5won 0 · lost 13
Muse Spark 1.1won 0 · lost 13
Gemini 3.8 Flashwon 0 · lost 13
Claude Opus 5.5won 0 · lost 13
DeepSeek V3.2won 0 · lost 14
GLM-4.6won 0 · lost 14
GPT-5won 0 · lost 14
Kimi K2.5won 0 · lost 14
GPT-5.1won 0 · lost 14
Claude Sonnet 4.5won 0 · lost 14
DeepSeek V4 Prowon 0 · lost 14
Claude Sonnet 4.6won 0 · lost 14
GPT-5.4won 0 · lost 14
GPT-5.5won 0 · lost 14
GPT-5.6 Solwon 0 · lost 14
Gemini 3.1 Prowon 0 · lost 14
Claude Opus 4.7won 0 · lost 14

§ 3 · Sources

Where the numbers come from

5 publications, 11 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-11
LMArena Text 1408
GDPval-AA ↗1 measureread 2026-11-11
GDPval-AA 393
AA-Briefcase ↗1 measureread 2026-11-11
AA-Briefcase 531
Vals.ai ↗7 measuresread 2026-11-11
Vals · LegalBench 61.98%Vals · CorpFin 50.74%Vals · TaxEval 70.32%Vals · MortgageTax 36.45%Vals · MedQA 78.23%Vals · MMLU Pro 75.29%Vals · AIME 42.29%
Vectara · Factual consistency 77.3%

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