Mathematics · MiniMax

MiniMax-M2 on AIME 2025: score, rank and what it means

MiniMax-M2 scores 78.1 on AIME 2025, placing it #115 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
78.1
0–100 scale
Rank
#115
of 600
Percentile
81th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
13.3
points

Score distribution

The chart shows the top 10 models on AIME 2025, with MiniMax-M2 highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, MiniMax-M2 sits at #115 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 13.3 points. The median model in this index scores 67.6, which puts MiniMax-M2 above the midpoint.

MiniMax models average 63.7 on this benchmark. MiniMax-M2 is 14.4 points above that provider line, so it is a stronger result than the average MiniMax model.

Among multimodal models, the average is 73.9. MiniMax-M2 is 4.2 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 78.1 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $5.19 per million input tokens, MiniMax-M2 is above the median input price of $4.00 across the 600 models scored on AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Claude Haiku 4.5 Max Anthropic 200000 $15.98 83.8
Command A Pro Cohere 200000 $14.28 81.3
Grok 3 Reasoning xAI 200000 $16.07 82.9
ERNIE 4.5 Reasoning Baidu 1000000 $14.36 79.8
MiniMax-M2 MiniMax 200000 $5.19 80.6
Command A Cohere 200000 $13.30 79.6
Llama 4 Maverick Base Meta AI 128000 $4.68 79.1

Other benchmarks for MiniMax-M2

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.8 127 79th
GPQA Diamond 75.4 137 77th
SWE-bench Verified 69.9 112 81th
HumanEval 88.0 73 88th
MATH-500 82.3 157 74th
LiveCodeBench 73.4 121 80th
IFEval 86.1 153 75th
TruthfulQA 83.5 93 85th
HellaSwag 90.4 76 87th
MMMU 78.0 98 84th
Arena Elo 1423.8 130 78th

FAQ

What score does MiniMax-M2 get on AIME 2025?

MiniMax-M2 scores 78.1 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does MiniMax-M2 rank on AIME 2025?

It ranks #115 of 600 models, in the 81st percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is MiniMax-M2 good at AIME 2025?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the AIME 2025 score calculated?

AIME 2025 is a mathematics benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does MiniMax-M2 cost?

MiniMax-M2 costs $5.19 per million input tokens and $22.73 per million output tokens.

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