Request a Pilot
‹ PublicAI Index

The LLM benchmark aggregator.

MiniMax M2

MiniMax

Strongest in Safety (#13 of 329, on 1 of its 3 boards), weakest in Human preference (#181 of 354). Above par in 10 of 12 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Grok 4.7 and ahead of Gemini 3.6 Flash 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.

Safety58.5#13/329
Fairness69.2#13/292
Toxicity avoidance57.7#36/268
Jailbreak resistance58.2#64/268
Secure code59#71/270
Harm refusal55#74/292
Core abilities51.7#78/199
General intelligence52.5#66/178
Reasoning42.7#157/195
Reasoning38.3#127/147
Human preference51.3#181/354
Human preference51.3#181/354

§ 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
OLMo 7B Instructwon 8 · lost 0
SmolLM2 1.7B Instructwon 8 · lost 0
Zephyr 7B Betawon 8 · lost 0
Gemma 7B ITwon 8 · lost 0
Llama 3.2 3B Instructwon 8 · lost 0
Starling LM 7B Betawon 8 · lost 0
DeepSeek LLM 67B Chatwon 8 · lost 0
Qwen1.5 14B Chatwon 8 · lost 0
DBRX Instructwon 8 · lost 0
Mixtral 8x7B Instructwon 8 · lost 0
Mixtral 8x22B Instructwon 8 · lost 0
Amazon Nova Microwon 8 · lost 0
Jamba 1.5 Largewon 8 · lost 0
Llama 3.1 70B Instructwon 8 · lost 0
Qwen2.5 72B Instructwon 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+won 10 · lost 0
Gemma 3 4B ITwon 10 · lost 0
Llama 3.3 70B Instructwon 10 · lost 0
GPT-4o miniwon 11 · lost 0
Llama 4 Scout Instructwon 11 · lost 1
Grok Build 0.1won 7 · lost 1
Gemma 2B ITwon 7 · lost 1
Phi-3 Mini 4K Instructwon 7 · lost 1
Gemma 2 2B ITwon 7 · lost 1
Llama 3.1 8B Instructwon 7 · lost 1
Aya Expanse 8Bwon 7 · lost 1
Llama 3 8B Instructwon 7 · lost 1
Jamba 1.5 Miniwon 7 · lost 1
Amazon Nova Litewon 7 · lost 1
Gemma 2 9B ITwon 7 · lost 1
Amazon Nova Prowon 7 · lost 1
Mercury 2won 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
Magistral Smallwon 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
Nova Premierwon 6 · lost 2
Llama 3.2 1B Instructwon 6 · lost 2
Llama 3.1 Tulu 3 8Bwon 6 · lost 2
Aya Expanse 32Bwon 6 · lost 2
GPT-4won 6 · lost 2
Granite 4.0 H Smallwon 6 · lost 2
Gemma 2 27B ITwon 6 · lost 2
Gemini 2.0 Flash-Litewon 6 · lost 2
Qwen3 30B A3B Instructwon 6 · lost 2
DeepSeek V3won 9 · lost 3
Gemma 4 31Bwon 9 · lost 3
GPT OSS 20Bwon 8 · lost 3
GLM-4.6won 8 · lost 3
MiMo V2.6 Flashwon 8 · lost 3
Claude 3 Haikuwon 7 · lost 3
O1 Miniwon 7 · lost 3
Grok 4.3won 7 · lost 3
Kimi K2.7 Codewon 6 · lost 3
MiMo V2.5 Prowon 6 · lost 3
Gemini 2.5 Flashwon 8 · lost 4
GPT-4.1won 8 · lost 4
DeepSeek V3.1won 8 · lost 4
Mistral Large 4won 8 · lost 4
DeepSeek V3.2won 8 · lost 4
MiniMax M3won 8 · lost 4
DeepSeek V4 Flashwon 8 · lost 4
DeepSeek V4 Prowon 8 · lost 4
GLM-5.3 Flashwon 8 · lost 4
MiMo V2.6 Prowon 8 · lost 4
GPT-4.1 miniwon 7 · lost 4
Llama 2 7B Chatwon 5 · lost 3
Llama 2 13B Chatwon 5 · lost 3
Llama 2 70B Chatwon 5 · lost 3
Phi 4won 5 · lost 3
Qwen2 72B Instructwon 5 · lost 3
Claude 3 Sonnetwon 5 · lost 3
Gemini 2.5 Flash-Litewon 5 · lost 3
Qwen3.5 35B A3Bwon 5 · lost 3
Qwen3.5 27Bwon 5 · lost 3
Qwen3.5 122B A10Bwon 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
Kimi K2.6won 6 · lost 4
GPT OSS 120Bwon 7 · lost 5
GPT-6 Lunawon 7 · lost 5
GPT-5.6 Lunawon 7 · lost 5
GPT-5.6 Terrawon 7 · lost 5
GLM-4.5won 6 · lost 5
GPT-6 Solwon 6 · lost 5
Gemini 3.6 Flashwon 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
Grok 3won 6 · lost 6
Grok 4won 6 · lost 6
Kimi K2won 6 · lost 6
DeepSeek R1won 6 · lost 6
Gemini 2.5 Prowon 6 · lost 6
GLM-5.2won 6 · lost 6
Qwen3.8 Maxwon 6 · lost 6
Gemini 3.8 Flashwon 6 · lost 6
Qwen3.7 Maxwon 5 · lost 6
Gemini 3.5 Flashwon 5 · lost 6
Claude 3.5 Haikuwon 4 · lost 5
Claude Sonnet 4.6won 4 · lost 5
Kimi K2.5won 5 · lost 7
Grok 4.6won 5 · lost 7
Grok 4.5won 5 · lost 7
GPT-5.5won 5 · lost 7
Claude Haiku 4.5won 4 · lost 6
GPT-5.1won 4 · lost 6
Muse Spark 1.1won 4 · lost 6
Claude Opus 5won 4 · lost 7
Grok 3 Miniwon 3 · lost 6
Gemini 3 Prowon 3 · lost 6
GPT-5 nanowon 4 · lost 8
GPT-5.2won 4 · lost 8
Inklingwon 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 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
Claude Sonnet 4won 3 · lost 8
Hy3won 2 · lost 6
GPT-5 miniwon 3 · lost 9
O4 Miniwon 3 · lost 9
Claude Opus 4won 3 · lost 9
O3won 3 · lost 9
MiniMax M2.7won 2 · lost 7
GPT-5won 2 · lost 10
Claude Sonnet 5won 1 · lost 10
Claude Opus 4.8won 1 · lost 10
Grok 4.7won 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 2026-11-10
LMArena Text 1344
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 57.8%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 25%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
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%

Badge

PublicAI Index badge for MiniMax M2[![PublicAI Index](https://publicai.io/model-index/badge?model=minimax-m2)](https://publicai.io/model-index/m/minimax-m2)