Mathematics · Mistral AI

Mixtral on AIME 2025: score, rank and what it means

Mixtral scores 72.2 on AIME 2025, placing it #215 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
72.2
0–100 scale
Rank
#215
of 600
Percentile
64th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
19.2
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Mixtral 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, Mixtral sits at #215 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 19.2 points. The median model in this index scores 67.6, which puts Mixtral above the midpoint.

Mistral AI models average 59.6 on this benchmark. Mixtral is 12.6 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among multimodal models, the average is 73.9. Mixtral is 1.7 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 72.2 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 $3.48 per million input tokens, Mixtral 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
Hunyuan-Turbo Turbo Tencent 65536 $11.60 77.4
Reka Core Turbo Reka AI 32768 $12.58 78.4
Llama 3 Baseten Baseten 128000 $3.62 74.9
Llama 3.1 Turbo Together AI 200000 $4.17 76.8
Mixtral Mistral AI 65536 $3.48 73.7
Qwen3-Coder Instruct Alibaba Cloud 128000 $4.66 78.1
Reka Core Reka AI 32768 $12.17 77.4

Other benchmarks for Mixtral

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.3 269 55th
GPQA Diamond 71.3 234 61th
SWE-bench Verified 60.3 321 47th
HumanEval 75.9 330 45th
MATH-500 78.5 249 59th
LiveCodeBench 62.5 342 43th
IFEval 81.2 298 50th
TruthfulQA 76.4 297 51th
HellaSwag 82.8 326 46th
MMMU 72.7 228 62th
Arena Elo 1363.2 337 44th

FAQ

What score does Mixtral get on AIME 2025?

Mixtral scores 72.2 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Mixtral rank on AIME 2025?

It ranks #215 of 600 models, in the 64th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Mixtral 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 Mixtral cost?

Mixtral costs $3.48 per million input tokens and $12.73 per million output tokens.

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