Mathematics · MiniMax

MiniMax-Text 7B on AIME 2025: score, rank and what it means

MiniMax-Text 7B scores 48.5 on AIME 2025, placing it #466 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
48.5
0–100 scale
Rank
#466
of 600
Percentile
22th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
42.9
points

Score distribution

The chart shows the top 10 models on AIME 2025, with MiniMax-Text 7B 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-Text 7B sits at #466 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 42.9 points. The median model in this index scores 67.6, which puts MiniMax-Text 7B below the midpoint.

MiniMax models average 63.7 on this benchmark. MiniMax-Text 7B is 15.2 points below that provider line, so it is a weaker result than the average MiniMax model.

Among small open-weight models, the average is 41.6. MiniMax-Text 7B is 6.9 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 48.5 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 $1.10 per million input tokens, MiniMax-Text 7B is below 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
Auto Mini OpenRouter 4096 $4.24 61.6
QwQ 7B Alibaba Cloud 8192 $1.11 58.1
Qwen3 7B Alibaba Cloud 32768 $1.37 59.8
Phi-4 7B Microsoft 8192 $0.91 56.8
MiniMax-Text 7B MiniMax 16384 $1.10 57.7
Hunyuan-Large 8B Tencent 4096 $1.29 58.7
Magistral 8B Mistral AI 4096 $1.33 60.0

Other benchmarks for MiniMax-Text 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.0 489 19th
GPQA Diamond 54.6 471 22th
SWE-bench Verified 42.7 494 18th
HumanEval 60.2 503 16th
MATH-500 59.9 467 22th
LiveCodeBench 47.6 470 22th
IFEval 68.0 489 19th
TruthfulQA 63.0 493 18th
HellaSwag 73.6 463 23th
MMMU 53.4 515 14th
Arena Elo 1253.5 484 19th

FAQ

What score does MiniMax-Text 7B get on AIME 2025?

MiniMax-Text 7B scores 48.5 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does MiniMax-Text 7B rank on AIME 2025?

It ranks #466 of 600 models, in the 22nd percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is MiniMax-Text 7B good at AIME 2025?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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-Text 7B cost?

MiniMax-Text 7B costs $1.10 per million input tokens and $4.16 per million output tokens.

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