Request a pilot
‹ PublicAI Index

The LLM benchmark aggregator.

Mimo V2.6 Pro

Xiaomi · 1T · open weights

Strongest in Cybersecurity (#3 of 9), weakest in Fairness (#172 of 300). Above par in 19 of 20 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5.1 and Muse Spark 1.3 and ahead of Claude Sonnet 5 and GPT-6 Sol.

§ 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.

Agents64#9/268
Knowledge work68.2#8/178
Core abilities58.6#14/204
General intelligence62.4#11/204
Professional57.3#15/168
Cybersecurity57.5#3/9
Legal60.5#10/151
Finance57.2#26/151
Coding58.2#15/165
Agentic coding59.5#14/157
Human preference64.7#21/342
Human preference64.7#21/342
Reasoning53.1#63/178
Mathematics54.7#55/140
Safety52.1#130/337
Jailbreak resistance57.8#70/272
Toxicity avoidance55.3#96/272
Secure code53.6#123/274
Harm refusal51.2#139/300
Fairness46#172/300

§ 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 V2.6 Pro, left for the other.

Mistral Medium 3.5won 13 · lost 0
Qwen3.8 27Bwon 13 · lost 0
Qwen3.6 Pluswon 13 · lost 0
Gemini 3.5 Flash Litewon 13 · lost 0
Mistral Large 3won 14 · lost 0
Mistral Smallwon 15 · lost 0
Command Awon 18 · lost 0
DeepSeek V4 Flashwon 19 · lost 1
DeepSeek V3won 18 · lost 1
Grok 4.3won 18 · lost 1
GLM-5.2won 18 · lost 1
Gemma 4 31Bwon 17 · lost 1
Mimo V2.6 Flashwon 15 · lost 1
Grok 3won 14 · lost 1
Kimi K2.7 Codewon 13 · lost 1
Grok Build 0.1won 13 · lost 1
Gemma 3 27B Itwon 13 · lost 1
Gemini 3.1 Flash Litewon 13 · lost 1
GPT-5.4 Miniwon 13 · lost 1
Gemma 4 12Bwon 12 · lost 1
Grok 4 Fastwon 11 · lost 1
GLM-5won 11 · lost 1
DeepSeek R1won 17 · lost 2
GLM-4.6won 17 · lost 2
Gemini 2.5 Prowon 17 · lost 2
Kimi K2.6won 17 · lost 2
Qwen3.7 Maxwon 17 · lost 2
Gemini 2.5 Flashwon 16 · lost 2
Llama 4 Scout Instructwon 15 · lost 2
Gemini 2.0 Flashwon 15 · lost 2
Grok 4.1 Fastwon 14 · lost 2
GLM-4.5won 13 · lost 2
Ling 3.0 Flashwon 12 · lost 2
GPT-5.4 Nanowon 12 · lost 2
Mistral Largewon 11 · lost 2
Gemini 1.5 Prowon 11 · lost 2
Gemini 2.5 Flash Litewon 11 · lost 2
Claude Opus 4.5won 11 · lost 2
GPT-4.1 Nanowon 16 · lost 3
DeepSeek V3.2won 16 · lost 3
MiniMax M3won 16 · lost 3
GPT-6 Lunawon 16 · lost 3
Mimo V2.5 Prowon 16 · lost 3
GLM-5.3 Flashwon 16 · lost 3
Grok 4won 15 · lost 3
Kimi K2won 15 · lost 3
DeepSeek V4 Prowon 16 · lost 4
GPT-4.1 Miniwon 15 · lost 4
Gemini 3.5 Flashwon 15 · lost 4
GPT-4.1won 14 · lost 4
Gemini 1.5 Flashwon 10 · lost 3
GPT OSS 20Bwon 13 · lost 4
Claude Sonnet 4.6won 13 · lost 4
Qwen3.5 122B A10Bwon 9 · lost 3
GPT OSS 120Bwon 14 · lost 5
Claude Haiku 4.5won 14 · lost 5
Kimi K2.5won 14 · lost 5
GPT-5.6 Lunawon 14 · lost 5
Grok 4.5won 14 · lost 5
GPT-5.4won 14 · lost 5
Gemini 3.6 Flashwon 14 · lost 5
Kimi K2 Thinkingwon 11 · lost 4
DeepSeek V4.1 Flashwon 10 · lost 4
Gemini 3.1 Prowon 10 · lost 4
Claude 3.5 Haikuwon 12 · lost 5
Qwen3 235B A22B Instructwon 12 · lost 5
Claude Opus 4won 12 · lost 5
GPT-5 Nanowon 11 · lost 5
Claude 3.7 Sonnetwon 11 · lost 5
GPT-5 Miniwon 13 · lost 6
Claude Sonnet 4won 13 · lost 6
Inklingwon 13 · lost 6
Claude Sonnet 4.5won 13 · lost 6
Qwen3.5 397B A17Bwon 8 · lost 4
O1won 10 · lost 5
GPT-4o Miniwon 12 · lost 6
O4 Miniwon 12 · lost 6
Grok 4.6won 13 · lost 7
Gemini 3.8 Flashwon 13 · lost 7
O3 Miniwon 11 · lost 6
GLM-5.1won 11 · lost 6
Claude 3.5 Sonnetwon 9 · lost 5
GLM-5.3won 9 · lost 5
GPT-5won 12 · lost 7
GPT-5.6 Terrawon 12 · lost 7
Gemini 3.7 Flashwon 8 · lost 5
GPT-4owon 9 · lost 6
GPT-6 Astrawon 9 · lost 6
O1 Miniwon 7 · lost 5
Hy3won 7 · lost 5
Qwen3.8 Maxwon 11 · lost 8
O3won 10 · lost 8
GPT-5.2won 10 · lost 8
Muse Spark 1.2won 7 · lost 6
Gemini 3 Prowon 8 · lost 7
MiniMax M2.7won 9 · lost 8
GPT-5.1won 9 · lost 8
GPT-6 Solwon 10 · lost 9
Claude Sonnet 5won 10 · lost 9
GPT-4 Turbowon 6 · lost 6
Kimi K3won 7 · lost 7
Grok 4.7won 9 · lost 10
Claude Opus 4.6won 7 · lost 8
GPT-5.5won 8 · lost 11
Muse Spark 1.1won 8 · lost 11
Claude Opus 4.7won 7 · lost 12
GPT-5.6 Solwon 7 · lost 13
Claude Opus 4.8won 6 · lost 13
Claude Opus 5won 4 · lost 16
Claude Opus 5.5won 2 · lost 17
Claude Fable 5won 1 · lost 12
Muse Spark 1.3won 1 · lost 13
Claude Fable 5.1won 1 · lost 13

§ 3 · Sources

Where the numbers come from

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

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1480
Artificial Analysis ↗1 measureread 2026-09-26
Artificial Analysis Intelligence Index 46
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 1673
AA-Briefcase ↗1 measureread 2026-09-26
AA-Briefcase 1517
Vals.ai ↗7 measuresread 2026-09-26
Vals · Legal Research Bench 47.12%Vals · Harvey Legal Agent Benchmark 10.83%Vals · Finance Agent 57.34%Vals · CyberBench 72.86%Vals · Vibe Code Bench 85.22% (OpenHands)Vals · Code Migration 43.01%Vals · ProofBench 70%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 6.2%Enkrypt · Harmful content risk 2.2%Enkrypt · CBRN risk 28.3%Enkrypt · Toxicity risk 2.6%Enkrypt · Bias risk 84%Enkrypt · Insecure code risk 26.2%

Badge

PublicAI Index badge for Mimo V2.6 Pro[![PublicAI Index](https://publicai.io/model-index/badge?model=mimo-v2-6-pro)](https://publicai.io/model-index/m/mimo-v2-6-pro)