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Mistral Medium 3.5

Mistral

Strongest in Human preference (#99 of 354), weakest in Agents (#191 of 298). Above par in 2 of 17 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of Command A and Llama 3.3 70B 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 preference59.3#99/354
Human preference59.3#99/354
Knowledge46.9#142/197
Academic knowledge42.6#101/123
Coding39.5#172/179
Agentic coding39#163/173
Core abilities41.9#173/199
General intelligence39.6#152/178
Professional38.7#184/194
Medical39.6#133/149
Finance39.7#140/162
Legal32.4#173/173
Reasoning35.3#187/195
Science26.1#117/122
Mathematics36.4#135/152
Agents46.5#191/298
Knowledge work44.4#127/208

§ 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 3.5, left for the other.

GPT-4o miniwon 12 · lost 4
Claude 3.5 Haikuwon 9 · lost 5
Llama 4 Scout Instructwon 9 · lost 6
Llama 3.3 70B Instructwon 7 · lost 5
Command Awon 9 · lost 7
Mistral Medium 3.1won 6 · lost 6
GPT-4owon 7 · lost 8
Mistral Large 2.1won 5 · lost 6
GPT-4.1 nanowon 7 · lost 10
GPT OSS 20Bwon 6 · lost 9
Magistral Small 1.2won 4 · lost 7
Magistral Medium 1.2won 4 · lost 7
Gemini 1.5 Prowon 4 · lost 7
Gemma 4 31Bwon 4 · lost 9
Mistral Large 3won 5 · lost 12
O3 Miniwon 4 · lost 11
Claude 3.5 Sonnetwon 3 · lost 9
DeepSeek R1won 4 · lost 12
GPT-5 miniwon 4 · lost 13
DeepSeek V3won 4 · lost 13
GPT-5.4 nanowon 4 · lost 13
Claude Haiku 4.5won 3 · lost 12
Inkling 2 Smallwon 2 · lost 9
GPT-4.1 miniwon 3 · lost 14
Inkling Smallwon 3 · lost 14
MiniMax M2.1won 2 · lost 11
Qwen3.5 Flashwon 2 · lost 11
O1won 2 · lost 11
GLM-4.5won 2 · lost 11
GPT-5 nanowon 2 · lost 12
Gemini 2.5 Flash-Litewon 2 · lost 12
Claude 3.7 Sonnetwon 2 · lost 12
Mistral Large 4won 2 · lost 12
Grok 4.1 Fastwon 2 · lost 12
Gemini 2.0 Flashwon 2 · lost 13
Grok 3 Miniwon 2 · lost 13
MiniMax M2.5won 2 · lost 13
Grok 4 Fastwon 2 · lost 13
Grok 3won 2 · lost 13
MiniMax M2.7won 2 · lost 13
Claude Haiku 5.5won 2 · lost 13
Qwen3 Maxwon 2 · lost 13
Claude Opus 4won 2 · lost 13
O4 Miniwon 2 · lost 14
Gemini 2.5 Flashwon 2 · lost 14
Grok 4won 2 · lost 14
GPT-4.1won 2 · lost 14
Kimi K2won 2 · lost 14
Qwen3 235B A22B Instructwon 2 · lost 14
Grok 4.3won 2 · lost 14
Gemini 3.1 Prowon 2 · lost 14
GPT OSS 120Bwon 2 · lost 15
Claude Sonnet 4won 2 · lost 15
DeepSeek V3.2won 2 · lost 15
GLM-4.6won 2 · lost 15
Gemini 3.1 Flash-Litewon 2 · lost 15
Inklingwon 2 · lost 15
Gemini 2.5 Prowon 2 · lost 15
GPT-5.4 miniwon 1 · lost 15
Qwen3.8 27Bwon 1 · lost 16
MiniMax M3won 1 · lost 16
Gemini 3.5 Flash-Litewon 1 · lost 16
Qwen 3.5 Pluswon 0 · lost 11
DeepSeek V4won 0 · lost 11
Claude Opus 4.1won 0 · lost 11
Gemini 4 Carbonwon 0 · lost 11
Ling 3.0 Flashwon 0 · lost 12
Muse Wonder Fullwon 0 · lost 12
Kimi K3.1 Prowon 0 · lost 12
Kimi K2 Thinkingwon 0 · lost 13
Step 5won 0 · lost 13
Gemini 3 Flashwon 0 · lost 13
Muse Spark 1.3won 0 · lost 13
Muse Wonderwon 0 · lost 13
Grok 4.7won 0 · lost 14
MiMo V2.6 Flashwon 0 · lost 14
GPT-6 Solwon 0 · lost 14
MiMo V2.6 Prowon 0 · lost 14
Gemini 4 Argonwon 0 · lost 14
MiMo V2.5won 0 · lost 15
GLM-4.7won 0 · lost 15
GPT-6 Lunawon 0 · lost 15
GPT-5.1won 0 · lost 15
GLM-5won 0 · lost 15
GLM-5.1won 0 · lost 15
MiMo V2.5 Prowon 0 · lost 15
Claude Sonnet 5.5won 0 · lost 15
Grok 4.20won 0 · lost 15
GPT-6 Astrawon 0 · lost 15
DeepSeek V4.1 Flashwon 0 · lost 15
GPT-6.1 Solwon 0 · lost 15
Muse Sparkwon 0 · lost 15
Muse Spark 1.2won 0 · lost 15
Claude Opus 4.6won 0 · lost 15
Claude Opus 5.5won 0 · lost 15
O3won 0 · lost 16
GPT-5.2won 0 · lost 16
Qwen3.6 Pluswon 0 · lost 16
Kimi K2.6won 0 · lost 16
Claude Sonnet 5won 0 · lost 16
Claude Sonnet 4.6won 0 · lost 16
Qwen3.7 Maxwon 0 · lost 16
Claude Opus 4.5won 0 · lost 16
Gemini 3.5 Flashwon 0 · lost 16
Gemini 3.6 Flashwon 0 · lost 16
Gemini 3 Prowon 0 · lost 16
Gemini 3.7 Flashwon 0 · lost 16
Claude Opus 5won 0 · lost 16
Muse Spark 1.1won 0 · lost 16
GPT-5won 0 · lost 17
DeepSeek V4 Flashwon 0 · lost 17
Kimi K2.5won 0 · lost 17
GPT-5.6 Lunawon 0 · lost 17
Grok 4.6won 0 · lost 17
Claude Sonnet 4.5won 0 · lost 17
DeepSeek V4 Prowon 0 · lost 17
Grok 4.5won 0 · lost 17
GPT-5.6 Terrawon 0 · lost 17
GLM-5.3 Flashwon 0 · lost 17
GLM-5.2won 0 · lost 17
GPT-5.4won 0 · lost 17
GPT-5.5won 0 · lost 17
Claude Opus 4.8won 0 · lost 17
GLM-5.3won 0 · lost 17
Qwen3.8 Maxwon 0 · lost 17
GPT-5.6 Solwon 0 · lost 17
Kimi K3won 0 · lost 17
Gemini 3.8 Flashwon 0 · lost 17
Claude Opus 4.7won 0 · lost 17
Claude Fable 5.1won 0 · lost 17
Claude Fable 5won 0 · lost 17

§ 3 · Sources

Where the numbers come from

6 publications, 19 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1427
Artificial Analysis ↗1 measureread 2026-11-10
Artificial Analysis Intelligence Index 5
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 769
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 523
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 41.4%
Vals.ai ↗14 measuresread 2026-11-10
Vals · Legal Research Bench 9.13%Vals · CaseLaw 44.16%Vals · Finance Agent 32.1%Vals · CorpFin 58.78%Vals · TaxEval 67.99%Vals · MortgageTax 28.89%Vals · MedCode 33.75%Vals · MedScribe 67.73%Vals · SWE-bench Verified 66.4% (Mini-SWE-agent)Vals · Vibe Code Bench 2.89% (OpenHands)Vals · Code Migration 5.13%Vals · GPQA Diamond 34.85%Vals · MMLU Pro 75.33%Vals · ProofBench 9%

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