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Mistral Large 4

Mistral

Strongest in Biology research (#19 of 27), weakest in Jailbreak resistance (#235 of 271). Above par in 12 of 29 scopes. Among the models it meets almost everywhere, it finishes behind Kimi K3 and DeepSeek V4.1 Flash and ahead of Gemini 3.6 Flash and GPT-4.1 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.

Coding50.8#77/176
Agentic coding50.8#74/169
Professional50.5#80/187
Biology research44.9#19/27
Legal55.6#35/162
Document design39.1#39/47
Finance54.6#55/161
Medical49.8#89/149
Human preference59.8#91/346
Human preference59.8#91/346
Reasoning47#117/189
Reasoning49.5#70/143
Mathematics45.2#106/149
Core abilities44#177/225
Data analysis55#21/47
Instruction following44.4#42/62
Language26#61/62
General intelligence47.3#128/214
Safety49.4#199/331
Fairness55.4#64/296
Secure code58.7#77/273
Toxicity avoidance54.8#111/271
Harm refusal46.5#214/296
Jailbreak resistance34.7#235/271
Agents44.2#224/289
Knowledge work62.3#32/198
Long-horizon work33.9#44/47
Web research30#48/48
Computer use35.9#70/80

§ 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 4, left for the other.

Command Awon 17 · lost 2
Llama 4 Scout Instructwon 16 · lost 3
GPT-4.1 Nanowon 17 · lost 4
DeepSeek V3won 17 · lost 4
GPT-4o Miniwon 16 · lost 4
Gemini 2.0 Flashwon 15 · lost 4
Grok 4.1 Fastwon 14 · lost 4
GLM-4.6won 14 · lost 6
GPT-4owon 13 · lost 6
GPT-5.4 Nanowon 12 · lost 6
Mimo V2.5 Prowon 12 · lost 6
DeepSeek R1won 14 · lost 7
DeepSeek V3.2won 14 · lost 7
Gemma 4 31Bwon 16 · lost 8
Claude Haiku 4.5won 17 · lost 9
O3 Miniwon 12 · lost 7
Grok 3won 12 · lost 7
Grok 4.3won 13 · lost 8
Kimi K2.6won 13 · lost 9
Qwen3.7 Maxwon 13 · lost 9
GPT OSS 20Bwon 10 · lost 8
MiniMax M3won 15 · lost 13
GPT OSS 120Bwon 11 · lost 10
GPT-4.1 Miniwon 11 · lost 10
Gemini 3.6 Flashwon 12 · lost 11
GPT-5 Nanowon 9 · lost 9
MiniMax M2.7won 9 · lost 9
GLM-5.1won 9 · lost 10
Kimi K2.5won 10 · lost 12
O4 Miniwon 9 · lost 11
Grok 4won 9 · lost 11
Kimi K2won 9 · lost 11
Claude 3.7 Sonnetwon 8 · lost 11
Qwen3 235B A22B Instructwon 8 · lost 11
Claude Opus 4won 8 · lost 11
Gemini 3.1 Prowon 10 · lost 14
Gemini 2.5 Flashwon 8 · lost 12
Gemini 3.5 Flashwon 9 · lost 14
DeepSeek V4 Flashwon 9 · lost 15
Claude Sonnet 4won 8 · lost 14
Inklingwon 10 · lost 18
GPT-4.1won 7 · lost 13
GPT-5 Miniwon 7 · lost 14
Gemini 2.5 Prowon 7 · lost 14
Mimo V2.6 Flashwon 7 · lost 14
Claude Sonnet 4.5won 7 · lost 15
Claude Sonnet 4.6won 8 · lost 18
GLM-5.2won 7 · lost 16
GLM-5.3 Flashwon 8 · lost 20
GPT-6 Lunawon 8 · lost 21
GPT-5.1won 5 · lost 14
Claude Opus 4.6won 5 · lost 14
Step 5won 5 · lost 15
O3won 5 · lost 16
DeepSeek V4 Prowon 5 · lost 18
GPT-5.6 Lunawon 6 · lost 23
GPT-5won 4 · lost 17
GPT-5.2won 4 · lost 18
Qwen3.8 27Bwon 4 · lost 18
Muse Spark 1.2won 4 · lost 19
GPT-6 Solwon 5 · lost 24
Mimo V2.6 Prowon 4 · lost 22
Claude Haiku 5.5won 3 · lost 18
Grok 4.5won 4 · lost 24
GPT-5.6 Terrawon 4 · lost 24
Gemini 3.8 Flashwon 4 · lost 25
Gemini 3.7 Flashwon 3 · lost 19
Muse Spark 1.1won 3 · lost 19
Claude Opus 4.7won 3 · lost 20
Claude Sonnet 5won 3 · lost 25
Claude Opus 4.8won 3 · lost 25
GPT-5.5won 3 · lost 25
GPT-5.6 Solwon 3 · lost 26
GLM-5.3won 2 · lost 20
Claude Sonnet 5.5won 2 · lost 21
GPT-5.4won 2 · lost 21
GPT-6.1 Solwon 2 · lost 21
GPT-6 Astrawon 2 · lost 22
Qwen3.8 Maxwon 2 · lost 26
Grok 4.6won 2 · lost 27
Claude Opus 5won 2 · lost 27
Claude Opus 5.5won 2 · lost 27
Muse Wonderwon 1 · lost 21
Gemini 4 Argonwon 1 · lost 21
Grok 4.7won 1 · lost 28
Muse Spark 1.3won 0 · lost 21
Claude Fable 5.1won 0 · lost 22
Claude Fable 5won 0 · lost 22
DeepSeek V4.1 Flashwon 0 · lost 23
Kimi K3won 0 · lost 23

§ 3 · Sources

Where the numbers come from

8 publications, 35 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-10-19
LMArena Text 1432
Artificial Analysis ↗1 measureread 2026-10-19
Artificial Analysis Intelligence Index 38
GDPval-AA ↗1 measureread 2026-10-19
GDPval-AA 1422
AA-Briefcase ↗1 measureread 2026-10-19
AA-Briefcase 1392
LiveBench ↗8 measuresread 2026-10-19
LiveBench 47.7LiveBench · Agentic 11.8LiveBench · Reasoning 83.9LiveBench · Coding 60LiveBench · Browser Use 8LiveBench · Data Analysis 76.5LiveBench · Research 28.1LiveBench · Design 65.6
LiveBench 1.0 ↗8 measuresread 2026-10-19
LiveBench 1.0 71.8LiveBench 1.0 · Reasoning 83.9LiveBench 1.0 · Coding 77.2LiveBench 1.0 · Agentic Coding 57.2LiveBench 1.0 · Mathematics 93.6LiveBench 1.0 · Data Analysis 76.5LiveBench 1.0 · Language 49.6LiveBench 1.0 · Instruction Following 64.8
Vals.ai ↗9 measuresread 2026-10-19
Vals · Legal Research Bench 31.73%Vals · Harvey Legal Agent Benchmark 15.83%Vals · Finance Agent 54.68%Vals · MedCode 40.69%Vals · MedScribe 80.43%Vals · BioMysteryBench 67.04%Vals · Vibe Code Bench 78.4% (OpenHands)Vals · Code Migration 30.56%Vals · ProofBench 10%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-10-19
Enkrypt · Jailbreak risk 25.5%Enkrypt · Harmful content risk 1.1%Enkrypt · CBRN risk 49.3%Enkrypt · Toxicity risk 2.9%Enkrypt · Bias risk 69.3%Enkrypt · Insecure code risk 15.6%

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