The LLM benchmark aggregator.

Mimo V2 Flash

Xiaomi

Strongest in Knowledge work (#88 of 177, on 1 of its 2 boards), weakest in Human preference (#137 of 341). Above par in 2 of 6 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Opus 4.7 and ahead of Mistral Medium 3.5 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.

Agents48.8−19.3#129/2671/5

Knowledge work48.2−25.4#88/1771/2

Reasoning44.5−22.4#132/1781/4

Science38.3−25.2#100/1221/1

Human preference55.8−11.7#137/3411/1

§ 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 Flash, left for the other.

Mistral Small 3.1won 4 · lost 0

Llama 3.1 8B Instructwon 4 · lost 0

GPT-4won 4 · lost 0

Command R Pluswon 4 · lost 0

Gemini 1.5 Flashwon 4 · lost 0

Nova 2 Litewon 4 · lost 0

Grok 2won 4 · lost 0

GPT-4owon 4 · lost 0

Gemma 3 12B Itwon 4 · lost 0

Mercury 2won 4 · lost 0

Qwen3 32Bwon 4 · lost 0

Gemini 1.5 Prowon 4 · lost 0

NVIDIA Nemotron 3 Super 120B A12Bwon 4 · lost 0

Gemma 3 27B Itwon 4 · lost 0

Trinity Largewon 4 · lost 0

Qwen3 Next 80B A3B Thinkingwon 4 · lost 0

Claude 3.5 Sonnetwon 4 · lost 0

Llama 3.3 70B Instructwon 5 · lost 0

GPT-4o Miniwon 6 · lost 0

Llama 4 Scout Instructwon 6 · lost 0

GPT-4.1 Nanowon 6 · lost 0

Claude 3.5 Haikuwon 6 · lost 0

Llama 4 Maverick Instructwon 5 · lost 1

Granite 4.2 8Bwon 4 · lost 1

Mistral Largewon 4 · lost 1

Command Awon 4 · lost 1

Mistral Smallwon 4 · lost 1

K2 Horizon 0.9Bwon 3 · lost 1

Qwen3.5 0.8Bwon 3 · lost 1

Magistral Small 1.2won 3 · lost 1

Gemini 2.0 Flashwon 3 · lost 1

Granite 4.2 3Bwon 4 · lost 2

GPT OSS 20Bwon 4 · lost 2

Granite 4.2 30Bwon 4 · lost 2

GPT OSS 120Bwon 4 · lost 2

O3 Miniwon 4 · lost 2

GPT-4.1 Miniwon 4 · lost 2

Mistral Medium 3.5won 4 · lost 2

Nemotron 3 Ultrawon 2 · lost 2

NVIDIA Nemotron 3 Nano 4Bwon 2 · lost 2

Qwen3.5 2Bwon 2 · lost 2

Gemma 4 E4Bwon 2 · lost 2

Magistral Medium 1.2won 2 · lost 2

Grok 3 Miniwon 2 · lost 2

MiniMax M2.1won 2 · lost 2

Qwen3.5 35B A3Bwon 2 · lost 2

Qwen3 235B A22B Thinkingwon 2 · lost 2

Qwen3.5 122B A10Bwon 2 · lost 2

DeepSeek V3.1 Terminuswon 2 · lost 2

Muse Glimmerwon 2 · lost 2

Gemma 4 26B A4Bwon 2 · lost 2

Qwen3.5 397B A17Bwon 2 · lost 2

DeepSeek V3won 3 · lost 3

Mistral Large 3won 3 · lost 3

GPT-5 Nanowon 2 · lost 3

Gemini 2.5 Flash Litewon 2 · lost 3

DeepSeek R1won 2 · lost 3

Gemini 3.1 Flash Litewon 2 · lost 4

Gemini 2.5 Prowon 2 · lost 4

Gemma 4 31Bwon 2 · lost 4

Gemini 3.1 Prowon 2 · lost 4

Claude 3.7 Sonnetwon 1 · lost 4

GPT-4.1won 1 · lost 4

GPT-5 Miniwon 1 · lost 5

Claude Haiku 4.5won 1 · lost 5

MiniMax M3won 1 · lost 5

Grok 4.3won 1 · lost 5

GPT-5.4 Miniwon 1 · lost 5

Gemini 3.5 Flash Litewon 1 · lost 5

GLM-5.3 Flashwon 1 · lost 5

Ling 3.0 Flashwon 0 · lost 4

Qwen3.6 35B A3Bwon 0 · lost 4

K2 Horizon 3.7Bwon 0 · lost 4

K2 Horizon MoVA 36B A4Bwon 0 · lost 4

K2 Horizon 375B A23Bwon 0 · lost 4

MiniMax M2.5won 0 · lost 4

Qwen3.5 Flashwon 0 · lost 4

O1won 0 · lost 4

Grok 4 Fastwon 0 · lost 4

GLM-4.5won 0 · lost 4

Grok 3won 0 · lost 4

Qwen3 Maxwon 0 · lost 4

Claude Opus 4won 0 · lost 4

Claude Opus 4.1won 0 · lost 4

Qwen3.7 Pluswon 0 · lost 4

Hy3won 0 · lost 4

GLM-5won 0 · lost 4

Grok 4.20won 0 · lost 4

GPT-5.5 Instantwon 0 · lost 4

Gemini 3 Flashwon 0 · lost 4

Claude Opus 4.6won 0 · lost 4

O4 Miniwon 0 · lost 5

Gemini 2.5 Flashwon 0 · lost 5

Grok 4won 0 · lost 5

Kimi K2won 0 · lost 5

Qwen3 235B A22B Instructwon 0 · lost 5

Grok 4.1 Fastwon 0 · lost 5

O3won 0 · lost 5

GPT-5.2won 0 · lost 5

Grok 4.7won 0 · lost 5

GPT-6 Lunawon 0 · lost 5

GPT-6 Solwon 0 · lost 5

Claude Opus 4.5won 0 · lost 5

GPT-6 Astrawon 0 · lost 5

Mimo V2.6 Prowon 0 · lost 5

Gemini 3 Prowon 0 · lost 5

Muse Spark 1.3won 0 · lost 5

Muse Spark 1.2won 0 · lost 5

Claude Opus 5.5won 0 · lost 5

GPT-5.4 Nanowon 0 · lost 6

Claude Sonnet 4won 0 · lost 6

Inkling Smallwon 0 · lost 6

MiniMax M2.7won 0 · lost 6

GLM-4.6won 0 · lost 6

DeepSeek V3.2won 0 · lost 6

Mimo V2.5won 0 · lost 6

GPT-5won 0 · lost 6

Qwen3.8 27Bwon 0 · lost 6

DeepSeek V4 Flashwon 0 · lost 6

GLM-4.7won 0 · lost 6

Inklingwon 0 · lost 6

Qwen3.6 Pluswon 0 · lost 6

Kimi K2.5won 0 · lost 6

Grok 4.6won 0 · lost 6

GPT-5.6 Lunawon 0 · lost 6

GPT-5.1won 0 · lost 6

Claude Sonnet 4.5won 0 · lost 6

Kimi K2.6won 0 · lost 6

Claude Sonnet 5won 0 · lost 6

DeepSeek V4 Prowon 0 · lost 6

GLM-5.1won 0 · lost 6

Grok 4.5won 0 · lost 6

GPT-5.6 Terrawon 0 · lost 6

Mimo V2.5 Prowon 0 · lost 6

Claude Sonnet 4.6won 0 · lost 6

Qwen3.7 Maxwon 0 · lost 6

GPT-5.4won 0 · lost 6

GLM-5.2won 0 · lost 6

DeepSeek V4.1 Flashwon 0 · lost 6

Gemini 3.5 Flashwon 0 · lost 6

Qwen3.8 Maxwon 0 · lost 6

GLM-5.3won 0 · lost 6

Claude Opus 4.8won 0 · lost 6

GPT-5.5won 0 · lost 6

Gemini 3.6 Flashwon 0 · lost 6

GPT-5.6 Solwon 0 · lost 6

Gemini 3.7 Flashwon 0 · lost 6

Kimi K3won 0 · lost 6

Claude Opus 5won 0 · lost 6

Muse Sparkwon 0 · lost 6

Muse Spark 1.1won 0 · lost 6

Gemini 3.8 Flashwon 0 · lost 6

Claude Fable 5.1won 0 · lost 6

Claude Opus 4.7won 0 · lost 6

Claude Fable 5won 0 · lost 6

§ 3 · Sources

Where the numbers come from

3 publications, 3 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-27

LMArena Text 1387

GDPval-AA ↗1 measureread 2026-09-27

GDPval-AA 615

Vals.ai ↗1 measureread 2026-09-27

Vals · GPQA Diamond 59.34%

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