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Mimo V2.5

Xiaomi · 311B · open weights

Strongest in Science (#64 of 122), weakest in Professional (#128 of 168). Above par in 7 of 15 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Opus 4.7 and ahead of Gemini 3.1 Flash Lite 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.

Knowledge51.8#77/138
Academic knowledge52.1#71/123
Human preference60.3#84/342
Human preference60.3#84/342
Coding47#98/165
Agentic coding46.7#92/157
Agents51.3#103/268
Knowledge work51.7#68/178
Reasoning46.4#113/178
Science53.8#64/122
Mathematics39.6#113/140
Professional45.2#128/168
Finance48.2#99/151
Legal43.3#116/151
Medical40.9#123/140

§ 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, left for the other.

Command R Pluswon 9 · lost 0
Laguna XS.2won 10 · lost 0
Laguna M.1won 10 · lost 0
Mercury 2.5won 10 · lost 0
Gemini 1.5 Flashwon 10 · lost 0
Mistral Smallwon 11 · lost 0
Mistral Medium 3.5won 15 · lost 0
GPT-4.1 Nanowon 14 · lost 1
GPT-4o Miniwon 13 · lost 1
Claude 3.5 Haikuwon 13 · lost 1
Llama 4 Scout Instructwon 12 · lost 1
Mistral Small 3.1won 10 · lost 1
Jamba 1.6 Miniwon 8 · lost 1
Jamba 1.6 Largewon 8 · lost 1
Mistral Largewon 9 · lost 2
Gemini 1.5 Prowon 9 · lost 2
Mistral Medium 3.1won 8 · lost 2
Grok 2won 8 · lost 2
GPT-5.4 Nanowon 12 · lost 3
GPT OSS 20Bwon 10 · lost 3
Ling 3.0 Flashwon 9 · lost 3
Magistral Small 1.2won 8 · lost 3
Magistral Medium 1.2won 8 · lost 3
Command Awon 10 · lost 4
GPT-4owon 9 · lost 4
Gemini 2.0 Flashwon 9 · lost 4
Granite 4.2 30Bwon 6 · lost 3
GPT-5 Nanowon 8 · lost 4
Gemini 2.5 Flash Litewon 8 · lost 4
GPT OSS 120Bwon 10 · lost 5
Mistral Large 3won 10 · lost 5
O3 Miniwon 9 · lost 6
GPT-5 Miniwon 9 · lost 6
DeepSeek V3won 9 · lost 6
Claude Haiku 4.5won 9 · lost 6
MiniMax M2.7won 9 · lost 6
GLM-4.6won 9 · lost 6
Granite 4.2 3Bwon 5 · lost 4
Grok 3won 6 · lost 5
GPT-4.1 Miniwon 8 · lost 7
Gemini 3.1 Flash Litewon 8 · lost 7
Claude 3.5 Sonnetwon 6 · lost 6
Kimi K2won 7 · lost 7
MiniMax M2.5won 6 · lost 7
Grok 4 Fastwon 6 · lost 7
Grok 4.20won 5 · lost 6
Kimi K2 Thinkingwon 5 · lost 6
GLM-4.5won 5 · lost 6
Qwen3.6 27Bwon 4 · lost 5
Claude 3.7 Sonnetwon 6 · lost 8
GPT-4.1won 6 · lost 8
GPT-5.4 Miniwon 6 · lost 8
Grok 3 Miniwon 5 · lost 7
Grok 4.3won 6 · lost 9
Gemini 3.5 Flash Litewon 6 · lost 9
Qwen3.5 Flashwon 5 · lost 8
O4 Miniwon 5 · lost 9
DeepSeek R1won 5 · lost 9
Nemotron 3 Ultrawon 4 · lost 8
Gemma 4 31Bwon 4 · lost 8
Claude Sonnet 4won 5 · lost 10
Inkling Smallwon 5 · lost 10
DeepSeek V3.2won 5 · lost 10
Qwen3 Maxwon 4 · lost 9
Gemini 2.5 Flashwon 4 · lost 10
Grok 4.1 Fastwon 4 · lost 10
MiniMax M3won 4 · lost 11
GLM-4.7won 4 · lost 11
Gemini 2.5 Prowon 4 · lost 11
GPT-5.1won 4 · lost 11
Gemini 3.1 Prowon 4 · lost 11
MiniMax M2.1won 3 · lost 10
O1won 3 · lost 10
Claude Opus 4won 3 · lost 10
Qwen3.7 Pluswon 2 · lost 7
Grok 4won 3 · lost 11
Inklingwon 3 · lost 12
Claude Sonnet 4.5won 3 · lost 12
Qwen 3.5 Pluswon 2 · lost 9
GLM-5won 2 · lost 11
Gemini 3 Flashwon 2 · lost 11
O3won 2 · lost 12
Claude Opus 4.5won 2 · lost 12
DeepSeek V4.1 Flashwon 2 · lost 12
Qwen3.6 Pluswon 2 · lost 13
Kimi K2.5won 2 · lost 13
GLM-5.3 Flashwon 2 · lost 13
Qwen3.7 Maxwon 2 · lost 13
Muse Sparkwon 2 · lost 13
Claude Opus 4.1won 1 · lost 10
Mimo V2.6 Flashwon 0 · lost 9
DeepSeek V4won 0 · lost 11
Mimo V2.6 Prowon 0 · lost 11
Muse Spark 1.3won 0 · lost 11
Grok 4.7won 0 · lost 12
GPT-6 Lunawon 0 · lost 12
GPT-6 Solwon 0 · lost 12
GPT-6 Astrawon 0 · lost 12
Claude Opus 5.5won 0 · lost 12
Claude Opus 4.6won 0 · lost 13
GPT-5.2won 0 · lost 14
Gemini 3 Prowon 0 · lost 14
Muse Spark 1.2won 0 · lost 14
GPT-5won 0 · lost 15
Qwen3.8 27Bwon 0 · lost 15
DeepSeek V4 Flashwon 0 · lost 15
Grok 4.6won 0 · lost 15
GPT-5.6 Lunawon 0 · lost 15
Kimi K2.6won 0 · lost 15
Claude Sonnet 5won 0 · lost 15
DeepSeek V4 Prowon 0 · lost 15
GLM-5.1won 0 · lost 15
Grok 4.5won 0 · lost 15
GPT-5.6 Terrawon 0 · lost 15
Mimo V2.5 Prowon 0 · lost 15
Claude Sonnet 4.6won 0 · lost 15
GPT-5.4won 0 · lost 15
GLM-5.2won 0 · lost 15
Gemini 3.5 Flashwon 0 · lost 15
Qwen3.8 Maxwon 0 · lost 15
GLM-5.3won 0 · lost 15
Claude Opus 4.8won 0 · lost 15
GPT-5.5won 0 · lost 15
Gemini 3.6 Flashwon 0 · lost 15
GPT-5.6 Solwon 0 · lost 15
Gemini 3.7 Flashwon 0 · lost 15
Kimi K3won 0 · lost 15
Claude Opus 5won 0 · lost 15
Muse Spark 1.1won 0 · lost 15
Gemini 3.8 Flashwon 0 · lost 15
Claude Fable 5.1won 0 · lost 15
Claude Opus 4.7won 0 · lost 15
Claude Fable 5won 0 · lost 15

§ 3 · Sources

Where the numbers come from

4 publications, 18 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1434
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 986
AA-Briefcase ↗1 measureread 2026-09-26
AA-Briefcase 752
Vals.ai ↗15 measuresread 2026-09-26
Vals · Legal Research Bench 9.13%Vals · LegalBench 78.89%Vals · Harvey Legal Agent Benchmark 1.67%Vals · Finance Agent 36.73%Vals · CorpFin 59.91%Vals · TaxEval 71.83%Vals · MortgageTax 59.26%Vals · MedCode 31.89%Vals · MedScribe 72.15%Vals · SWE-bench Verified 71% (Mini-SWE-agent)Vals · Vibe Code Bench 42.17% (OpenHands)Vals · Code Migration 14.23%Vals · GPQA Diamond 81.57%Vals · MMLU Pro 82.93%Vals · ProofBench 16%

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