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Mimo V2.5 Pro

Xiaomi · 1T · open weights

Strongest in Human preference (#39 of 342), weakest in Jailbreak resistance (#231 of 272). Above par in 13 of 23 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of DeepSeek V3.2 and GPT-4o.

§ 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 preference63.5#39/342
Human preference63.5#39/342
Knowledge53.5#65/138
Academic knowledge54.2#60/123
Agents53.5#82/268
Knowledge work54.5#57/178
Coding48.1#88/165
Agentic coding47.8#84/157
Core abilities50.1#92/204
General intelligence50.2#93/204
Reasoning47.4#105/178
Science54.5#61/122
Mathematics41.3#108/140
Professional47.7#107/168
Finance51.1#82/151
Medical46.7#99/140
Legal44.6#106/151
Safety49.5#198/337
Toxicity avoidance56.4#60/272
Fairness54.3#72/300
Secure code58#85/274
Harm refusal46.3#220/300
Jailbreak resistance36.1#231/272

§ 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 Mimo V2.5 Pro, left for the other.

Mimo V2.5won 15 · lost 0
Mistral Medium 3.5won 17 · lost 0
Mistral Smallwon 18 · lost 1
Ling 3.0 Flashwon 16 · lost 2
Jamba 1.6 Miniwon 13 · lost 2
Command R Pluswon 13 · lost 2
GPT-4o Miniwon 19 · lost 3
Llama 4 Scout Instructwon 18 · lost 3
GPT-4.1 Nanowon 19 · lost 4
Mistral Largewon 14 · lost 3
Command Awon 18 · lost 4
Jamba 1.6 Largewon 12 · lost 3
Grok Build 0.1won 11 · lost 3
Gemma 3 27B Itwon 11 · lost 3
DeepSeek V3won 18 · lost 5
GPT-5.4 Nanowon 14 · lost 4
Mistral Large 3won 14 · lost 4
Gemini 1.5 Prowon 13 · lost 4
GPT-5.4 Miniwon 13 · lost 4
Gemini 2.0 Flashwon 16 · lost 5
Gemini 1.5 Flashwon 12 · lost 4
Claude 3.5 Haikuwon 15 · lost 5
Kimi K2.7 Codewon 10 · lost 4
Gemini 2.5 Flash Litewon 12 · lost 5
Grok 4.1 Fastwon 14 · lost 6
GLM-4.6won 16 · lost 7
MiniMax M3won 16 · lost 7
GPT OSS 20Bwon 14 · lost 7
Grok 4.3won 15 · lost 8
DeepSeek R1won 14 · lost 8
Grok 3won 12 · lost 7
Gemini 3.1 Flash Litewon 11 · lost 7
GPT OSS 120Bwon 14 · lost 9
GPT-4.1 Miniwon 14 · lost 9
Claude Haiku 4.5won 14 · lost 9
GLM-4.7won 9 · lost 6
Qwen3.6 Pluswon 10 · lost 7
Gemini 3.5 Flash Litewon 10 · lost 7
O3 Miniwon 12 · lost 9
MiniMax M2.7won 12 · lost 9
GPT-5 Nanowon 11 · lost 9
MiniMax M2.5won 8 · lost 7
Inkling Smallwon 8 · lost 7
Mimo V2.6 Flashwon 8 · lost 7
GPT-4owon 10 · lost 9
DeepSeek V3.2won 12 · lost 11
Nemotron 3 Ultrawon 7 · lost 7
Qwen3.5 Flashwon 7 · lost 7
Grok 4 Fastwon 8 · lost 8
Claude 3.5 Sonnetwon 9 · lost 9
Gemma 4 31Bwon 10 · lost 10
Kimi K2won 11 · lost 11
Inklingwon 11 · lost 12
Gemini 2.5 Prowon 11 · lost 12
GLM-4.5won 9 · lost 10
GPT-4.1won 10 · lost 12
Claude 3.7 Sonnetwon 9 · lost 11
GPT-5 Miniwon 10 · lost 13
Kimi K2.6won 10 · lost 13
Grok 4won 9 · lost 13
Claude Sonnet 4won 9 · lost 14
Kimi K2.5won 9 · lost 14
Qwen3 235B A22B Instructwon 8 · lost 13
Kimi K2 Thinkingwon 7 · lost 12
O1won 7 · lost 12
O4 Miniwon 8 · lost 14
Gemini 2.5 Flashwon 8 · lost 14
Grok 3 Miniwon 5 · lost 9
Qwen3.8 27Bwon 6 · lost 11
Qwen3.7 Maxwon 8 · lost 15
Qwen3 Maxwon 5 · lost 10
GPT-5.1won 7 · lost 14
DeepSeek V4 Flashwon 7 · lost 16
Claude Sonnet 4.5won 7 · lost 16
GLM-5.3 Flashwon 7 · lost 16
Gemini 3.5 Flashwon 7 · lost 16
Gemini 3.6 Flashwon 7 · lost 16
Claude Opus 4won 6 · lost 15
Muse Sparkwon 4 · lost 11
GPT-5.6 Lunawon 6 · lost 17
GLM-5.2won 6 · lost 17
GLM-5won 4 · lost 12
GPT-6 Solwon 5 · lost 15
Gemini 3.1 Prowon 4 · lost 14
GPT-5won 5 · lost 18
DeepSeek V4 Prowon 5 · lost 18
Gemini 3 Flashwon 3 · lost 11
GPT-6 Lunawon 4 · lost 16
GLM-5.1won 4 · lost 17
Claude Sonnet 4.6won 4 · lost 17
O3won 4 · lost 18
Claude Opus 4.5won 3 · lost 14
Mimo V2.6 Prowon 3 · lost 16
GPT-5.2won 3 · lost 19
Grok 4.6won 3 · lost 20
Claude Sonnet 5won 3 · lost 20
Grok 4.5won 3 · lost 20
GPT-5.6 Terrawon 3 · lost 20
Muse Spark 1.1won 3 · lost 20
DeepSeek V4.1 Flashwon 2 · lost 14
Gemini 3 Prowon 2 · lost 17
Claude Opus 4.6won 2 · lost 17
Grok 4.7won 2 · lost 18
GPT-5.4won 2 · lost 21
Qwen3.8 Maxwon 2 · lost 21
GPT-5.6 Solwon 2 · lost 21
Claude Opus 4.7won 2 · lost 21
Claude Opus 5.5won 1 · lost 19
Claude Opus 4.8won 1 · lost 22
GPT-5.5won 1 · lost 22
Claude Opus 5won 1 · lost 22
Gemini 3.8 Flashwon 1 · lost 22
GPT-6 Astrawon 0 · lost 15
Muse Spark 1.2won 0 · lost 16
GLM-5.3won 0 · lost 17
Gemini 3.7 Flashwon 0 · lost 17
Kimi K3won 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, 24 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1467
Artificial Analysis ↗1 measureread 2026-09-26
Artificial Analysis Intelligence Index 26
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 1107
AA-Briefcase ↗1 measureread 2026-09-26
AA-Briefcase 881
Vals.ai ↗14 measuresread 2026-09-26
Vals · Legal Research Bench 15.87%Vals · LegalBench 77.13%Vals · Harvey Legal Agent Benchmark 2.08%Vals · Finance Agent 41.5%Vals · CorpFin 61.42%Vals · TaxEval 73.79%Vals · MedCode 32.48%Vals · MedScribe 83.73%Vals · SWE-bench Verified 74% (Mini-SWE-agent)Vals · Vibe Code Bench 34.11% (OpenHands)Vals · Code Migration 21.56%Vals · GPQA Diamond 82.58%Vals · MMLU Pro 84.59%Vals · ProofBench 22%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 24.5%Enkrypt · Harmful content risk 2.2%Enkrypt · CBRN risk 47%Enkrypt · Toxicity risk 1.8%Enkrypt · Bias risk 71.1%Enkrypt · Insecure code risk 17.3%

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