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Mistral Large 3

Mistral

Strongest in Legal (#76 of 173), weakest in Safety (#261 of 329). Above par in 4 of 20 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 4.7 and GPT-5.6 Sol and ahead of O3 Mini and GPT-5 nano.

§ 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.

Professional50.4#90/194
Legal52.1#76/173
Medical49.3#92/149
Finance49.7#100/162
Core abilities49.4#107/199
General intelligence49.1#98/178
Human preference58.1#115/354
Human preference58.1#115/354
Knowledge49.3#123/197
Academic knowledge48.2#86/123
Reasoning41.4#164/195
Science44.7#92/122
Mathematics43.8#112/152
Reasoning36.4#137/147
Coding39.7#168/179
Agentic coding38.7#165/173
Agents42.2#260/298
Knowledge work37.5#165/208
Safety46.4#261/329
Factual grounding38.4#92/104

§ 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 Large 3, left for the other.

Command R+won 11 · lost 1
GPT-4o miniwon 15 · lost 3
Llama 4 Scout Instructwon 15 · lost 3
Command Awon 15 · lost 3
Gemini 2.0 Flashwon 14 · lost 3
Llama 3.3 70B Instructwon 12 · lost 3
Mistral Medium 3.1won 11 · lost 3
Mistral Large 2.1won 10 · lost 3
Gemini 1.5 Prowon 10 · lost 3
GPT-4.1 nanowon 14 · lost 5
Mistral Medium 3.5won 12 · lost 5
Magistral Small 1.2won 8 · lost 4
Claude 3.5 Haikuwon 10 · lost 5
Gemini 2.5 Flash-Litewon 10 · lost 6
Claude 3.5 Sonnetwon 8 · lost 6
Gemma 4 31Bwon 9 · lost 7
GPT-4owon 10 · lost 8
DeepSeek V3won 11 · lost 9
GPT-5 nanowon 9 · lost 8
O3 Miniwon 9 · lost 8
GPT-5.4 nanowon 10 · lost 10
Claude Haiku 4.5won 8 · lost 10
GPT OSS 20Bwon 7 · lost 9
GPT-4.1 miniwon 8 · lost 11
Grok 4.1 Fastwon 7 · lost 10
Grok 4.3won 7 · lost 10
GPT OSS 120Bwon 8 · lost 12
Inkling Smallwon 7 · lost 11
Ling 3.0 Flashwon 5 · lost 8
MiniMax M2.1won 6 · lost 10
Gemini 3.1 Flash-Litewon 7 · lost 12
Qwen3.5 Flashwon 5 · lost 10
MiMo V2.5won 5 · lost 10
Grok 4 Fastwon 6 · lost 12
Gemini 3.5 Flash-Litewon 6 · lost 12
O4 Miniwon 6 · lost 13
DeepSeek R1won 6 · lost 13
MiniMax M2.7won 4 · lost 11
GPT-4.1won 5 · lost 14
Kimi K2won 5 · lost 14
GLM-4.6won 5 · lost 14
Inklingwon 5 · lost 14
Qwen3.6 Pluswon 4 · lost 12
MiMo V2.5 Prowon 4 · lost 12
Grok 4.20won 4 · lost 12
Claude Sonnet 4won 5 · lost 15
GPT-6 Lunawon 4 · lost 13
MiniMax M2.5won 4 · lost 14
Grok 4won 4 · lost 14
Qwen3.8 27Bwon 4 · lost 14
GLM-4.7won 4 · lost 14
Kimi K2.6won 4 · lost 14
GLM-4.5won 3 · lost 11
Step 5won 3 · lost 11
GPT-5.4 miniwon 4 · lost 15
O1won 3 · lost 12
Qwen3 Maxwon 3 · lost 12
GLM-5.1won 3 · lost 14
Inkling 2 Smallwon 2 · lost 10
Grok 3won 3 · lost 15
MiniMax M3won 3 · lost 16
DeepSeek V4 Flashwon 3 · lost 16
GLM-5.3 Flashwon 3 · lost 16
GPT-5 miniwon 3 · lost 17
DeepSeek V3.2won 3 · lost 17
Claude 3.7 Sonnetwon 2 · lost 14
Claude Haiku 5.5won 2 · lost 14
Mistral Large 4won 2 · lost 14
Grok 3 Miniwon 2 · lost 15
Qwen3.7 Maxwon 2 · lost 16
Gemini 3.6 Flashwon 2 · lost 16
Gemini 2.5 Flashwon 2 · lost 17
GPT-5.6 Lunawon 2 · lost 17
Kimi K2.5won 2 · lost 18
Kimi K3.1 Prowon 1 · lost 12
MiMo V2.6 Flashwon 1 · lost 14
Gemini 3 Flashwon 1 · lost 15
GPT-6.1 Solwon 1 · lost 15
GPT-6 Solwon 1 · lost 16
Muse Spark 1.1won 1 · lost 16
Claude Opus 4won 1 · lost 17
GLM-5won 1 · lost 17
Claude Sonnet 5won 1 · lost 17
GPT-6 Astrawon 1 · lost 17
Qwen3 235B A22B Instructwon 1 · lost 18
Grok 4.6won 1 · lost 18
Claude Sonnet 4.6won 1 · lost 18
GLM-5.2won 1 · lost 18
Gemini 3 Prowon 1 · lost 18
Gemini 3.8 Flashwon 1 · lost 18
GPT-5won 1 · lost 19
Muse Wonder Fullwon 0 · lost 12
Gemini 4 Carbonwon 0 · lost 12
Qwen 3.5 Pluswon 0 · lost 13
Claude Opus 4.1won 0 · lost 14
Muse Spark 1.3won 0 · lost 14
Muse Wonderwon 0 · lost 14
Kimi K2 Thinkingwon 0 · lost 15
Muse Sparkwon 0 · lost 15
Grok 4.7won 0 · lost 16
Claude Sonnet 5.5won 0 · lost 16
MiMo V2.6 Prowon 0 · lost 16
Muse Spark 1.2won 0 · lost 16
Gemini 3.7 Flashwon 0 · lost 17
Gemini 4 Argonwon 0 · lost 17
O3won 0 · lost 18
GPT-5.1won 0 · lost 18
DeepSeek V4.1 Flashwon 0 · lost 18
Gemini 3.5 Flashwon 0 · lost 18
GLM-5.3won 0 · lost 18
Kimi K3won 0 · lost 18
Claude Opus 5won 0 · lost 18
Claude Fable 5.1won 0 · lost 18
Claude Opus 4.6won 0 · lost 18
Claude Fable 5won 0 · lost 18
Claude Opus 5.5won 0 · lost 18
GPT-5.2won 0 · lost 19
Grok 4.5won 0 · lost 19
GPT-5.6 Terrawon 0 · lost 19
Claude Opus 4.5won 0 · lost 19
Claude Opus 4.8won 0 · lost 19
Qwen3.8 Maxwon 0 · lost 19
Gemini 3.1 Prowon 0 · lost 19
Gemini 2.5 Prowon 0 · lost 20
Claude Sonnet 4.5won 0 · lost 20
DeepSeek V4 Prowon 0 · lost 20
GPT-5.4won 0 · lost 20
GPT-5.5won 0 · lost 20
GPT-5.6 Solwon 0 · lost 20
Claude Opus 4.7won 0 · lost 20

§ 3 · Sources

Where the numbers come from

7 publications, 16 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1415
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 428
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 229
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 50.9%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 20.4%
Vals.ai ↗10 measuresread 2026-11-10
Vals · CaseLaw 61.41%Vals · LegalBench 79.14%Vals · CorpFin 61.03%Vals · TaxEval 73.06%Vals · MortgageTax 52.11%Vals · MedQA 82.23%Vals · SWE-bench Verified 41.4% (Mini-SWE-agent)Vals · GPQA Diamond 68.43%Vals · MMLU Pro 79.82%Vals · AIME 42.92%
Vectara · Factual consistency 85.5%

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