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MiniMax M2

MiniMax · 229B · open weights

Strongest in Safety (#14 of 337, on 1 of its 3 boards), weakest in Human preference (#172 of 342). Above par in 10 of 12 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Opus 4.8 and ahead of Mimo V2.6 Pro and GLM-4.5.

§ 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.

Safety58.5#14/337
Fairness69.1#15/300
Toxicity avoidance57.7#37/272
Jailbreak resistance58.1#66/272
Secure code59.3#72/274
Harm refusal54.9#76/300
Core abilities51.7#76/204
General intelligence52.5#77/204
Reasoning43#140/178
Reasoning38.7#118/140
Human preference51.5#172/342
Human preference51.5#172/342

§ 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 MiniMax M2, left for the other.

Jamba Mini 1.7won 8 · lost 0
Jamba Large 1.7won 8 · lost 0
Ling 3.0 Flash VLwon 8 · lost 0
Smollm2 1.7B Instructwon 8 · lost 0
Zephyr 7B Betawon 8 · lost 0
Gemma 7B Itwon 8 · lost 0
Mistral 7B Instruct V0.2won 8 · lost 0
Nous Hermes 2 Mixtral 8x7b Dpowon 8 · lost 0
Llama 3.2 3B Instructwon 8 · lost 0
Phi 3 Small 8k Instructwon 8 · lost 0
Starling Lm 7B Betawon 8 · lost 0
Granite 3.0 8B Instructwon 8 · lost 0
DeepSeek LLM 67B Chatwon 8 · lost 0
Qwen1.5 14B Chatwon 8 · lost 0
DBRX Instructwon 8 · lost 0
Phi 3 Medium 4k Instructwon 8 · lost 0
Llama 3.1 8B Instructwon 8 · lost 0
Llama 3 8B Instructwon 8 · lost 0
Nova Microwon 8 · lost 0
Mistral Small 24B Instructwon 8 · lost 0
Jamba 1.5 Largewon 8 · lost 0
Qwen Maxwon 8 · lost 0
QwQ 32Bwon 8 · lost 0
Gemma 3 12B Itwon 8 · lost 0
Gemini 1.5 Flashwon 9 · lost 0
GPT-3.5 Turbowon 10 · lost 0
Command R Pluswon 10 · lost 0
Gemma 3 4B Itwon 10 · lost 0
GPT-4o Miniwon 12 · lost 0
Llama 4 Scout Instructwon 11 · lost 1
Llama 4 Maverick Instructwon 11 · lost 1
Mistral Largewon 8 · lost 1
Gemma 2B Itwon 7 · lost 1
Phi 3 Mini 128k Instructwon 7 · lost 1
Phi 3 Mini 4k Instructwon 7 · lost 1
Granite 3.0 2B Instructwon 7 · lost 1
Granite 3.1 2B Instructwon 7 · lost 1
Gemma 2 2B Itwon 7 · lost 1
C4ai Aya Expanse 8Bwon 7 · lost 1
Jamba 1.5 Miniwon 7 · lost 1
Nova Litewon 7 · lost 1
Gemma 2 9B Itwon 7 · lost 1
Nova Prowon 7 · lost 1
Magistral Mediumwon 10 · lost 2
GPT-4.1 Nanowon 10 · lost 2
Gemini 2.0 Flashwon 10 · lost 2
Command Awon 9 · lost 2
Mistral Smallwon 9 · lost 2
Magistral Smallwon 8 · lost 2
Nemotron 3 Ultra 550B A55Bwon 8 · lost 2
Grok Build 0.1won 8 · lost 2
Llama 3 70B Instructwon 8 · lost 2
GPT-4owon 8 · lost 2
Gemini 1.5 Prowon 8 · lost 2
Gemma 3 27B Itwon 8 · lost 2
Gemma 4 12Bwon 6 · lost 2
Llama 3.2 1B Instructwon 6 · lost 2
Granite 3.1 8B Instructwon 6 · lost 2
Llama 3.1 Tulu 3 8Bwon 6 · lost 2
C4ai Aya Expanse 32Bwon 6 · lost 2
GPT-4won 6 · lost 2
Gemma 2 27B Itwon 6 · lost 2
Qwen2.5 72B Instructwon 6 · lost 2
Gemini 2.0 Flash Litewon 6 · lost 2
Qwen3 30B A3B Instructwon 6 · lost 2
DeepSeek V3won 9 · lost 3
MiniMax M3won 9 · lost 3
Grok 4.3won 9 · lost 3
GPT OSS 20Bwon 8 · lost 3
GLM-4.6won 8 · lost 3
Mimo V2.5 Prowon 8 · lost 3
Kimi K2.7 Codewon 7 · lost 3
Claude 3 Haikuwon 7 · lost 3
O1 Miniwon 7 · lost 3
Qwen3.5 122B A10Bwon 7 · lost 3
Mimo V2.6 Flashwon 6 · lost 3
Gemini 2.5 Flashwon 8 · lost 4
GPT-4.1won 8 · lost 4
DeepSeek V3.2won 8 · lost 4
DeepSeek V4 Flashwon 8 · lost 4
GLM-5.3 Flashwon 8 · lost 4
Gemini 3.6 Flashwon 8 · lost 4
Phi 4won 5 · lost 3
Qwen2 72B Instructwon 5 · lost 3
Claude 3 Sonnetwon 5 · lost 3
NVIDIA Nemotron 3 Super 120B A12Bwon 5 · lost 3
Gemini 2.5 Flash Litewon 5 · lost 3
Qwen3.5 35B A3Bwon 5 · lost 3
Qwen3.5 27Bwon 5 · lost 3
Qwen3 Vl 235B A22B Instructwon 5 · lost 3
Gemma 4 26B A4Bwon 5 · lost 3
Kimi K2 Thinkingwon 6 · lost 4
Claude 3 Opuswon 6 · lost 4
Grok 4.1 Fastwon 6 · lost 4
GPT OSS 120Bwon 7 · lost 5
GPT-4.1 Miniwon 7 · lost 5
GPT-6 Lunawon 7 · lost 5
GPT-5.6 Lunawon 7 · lost 5
Kimi K2.6won 7 · lost 5
Qwen3.7 Maxwon 7 · lost 5
GLM-5.2won 7 · lost 5
GLM-4.5won 6 · lost 5
Mimo V2.6 Prowon 6 · lost 5
GPT-4 Turbowon 5 · lost 5
O3 Miniwon 5 · lost 5
Qwen3.5 397B A17Bwon 5 · lost 5
GLM-5.1won 5 · lost 5
Claude Sonnet 4.6won 5 · lost 5
Grok 3won 6 · lost 6
Grok 4won 6 · lost 6
Claude Haiku 4.5won 6 · lost 6
Kimi K2won 6 · lost 6
DeepSeek R1won 6 · lost 6
Gemini 2.5 Prowon 6 · lost 6
GPT-6 Solwon 6 · lost 6
DeepSeek V4 Prowon 6 · lost 6
Gemini 3.5 Flashwon 6 · lost 6
Gemma 4 31Bwon 5 · lost 6
Claude 3.5 Haikuwon 4 · lost 5
Qwen3 235B A22B Instructwon 5 · lost 7
Kimi K2.5won 5 · lost 7
Grok 4.5won 5 · lost 7
GPT-5.6 Terrawon 5 · lost 7
Qwen3.8 Maxwon 5 · lost 7
GPT-5.5won 5 · lost 7
Muse Spark 1.1won 5 · lost 7
Gemini 3.8 Flashwon 5 · lost 7
GPT-5.1won 4 · lost 6
Hy3won 4 · lost 6
Gemini 3 Prowon 3 · lost 6
GPT-5 Nanowon 4 · lost 8
Inklingwon 4 · lost 8
Grok 4.6won 4 · lost 8
Claude Sonnet 4.5won 4 · lost 8
GPT-5.4won 4 · lost 8
GPT-5.6 Solwon 4 · lost 8
Claude Opus 5won 4 · lost 8
Claude Opus 4.7won 4 · lost 8
Claude 3.5 Sonnetwon 3 · lost 7
Claude 3.7 Sonnetwon 3 · lost 7
O1won 3 · lost 7
Claude Opus 4.6won 3 · lost 7
GPT-5 Miniwon 3 · lost 9
O4 Miniwon 3 · lost 9
Claude Sonnet 4won 3 · lost 9
Claude Opus 4won 3 · lost 9
O3won 3 · lost 9
GPT-5.2won 3 · lost 9
GPT-5won 2 · lost 10
MiniMax M2.7won 1 · lost 8
Grok 4.7won 1 · lost 11
Claude Sonnet 5won 1 · lost 11
Claude Opus 4.8won 1 · lost 11
Claude Opus 5.5won 1 · lost 11

§ 3 · Sources

Where the numbers come from

4 publications, 9 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1343
Kagi LLM Benchmark ↗1 measureread 2026-09-26
Kagi LLM Benchmark 57.8%
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 25%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 5.9%Enkrypt · Harmful content risk 10.6%Enkrypt · CBRN risk 14%Enkrypt · Toxicity risk 0.9%Enkrypt · Bias risk 48.1%Enkrypt · Insecure code risk 14.7%

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