Request a pilot
‹ PublicAI Index

The LLM benchmark aggregator.

Mistral Large 3

Mistral

Strongest in Legal (#61 of 151), weakest in Safety (#267 of 337). 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#74/168
Legal52.2#61/151
Medical49.3#84/140
Finance49.7#90/151
Knowledge48.5#94/138
Academic knowledge48.2#86/123
Human preference58.3#110/342
Human preference58.3#110/342
Reasoning41.5#147/178
Science44.7#92/122
Mathematics43.8#101/140
Reasoning36.6#129/140
Coding39.7#154/165
Agentic coding37.6#153/157
Core abilities44.5#155/204
General intelligence43#149/204
Agents41.7#221/268
Knowledge work39.3#136/178
Safety46.4#267/337
Factual grounding38.6#89/101

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

8 publications, 17 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1413
Artificial Analysis ↗1 measureread 2026-09-26
Artificial Analysis Intelligence Index 9
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 406
AA-Briefcase ↗1 measureread 2026-09-26
AA-Briefcase 229
Kagi LLM Benchmark ↗1 measureread 2026-09-26
Kagi LLM Benchmark 50.9%
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 20.4%
Vals.ai ↗10 measuresread 2026-09-26
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%

Badge

PublicAI Index badge for Mistral Large 3[![PublicAI Index](https://publicai.io/model-index/badge?model=mistral-large-3)](https://publicai.io/model-index/m/mistral-large-3)