Multimodal · Mistral AI

Mistral Small 3 on MMMU: score, rank and what it means

Mistral Small 3 scores 72.8 on MMMU, placing it #226 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
72.8
0–100 scale
Rank
#226
of 600
Percentile
62th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
14.1
points

Score distribution

The chart shows the top 10 models on MMMU, with Mistral Small 3 highlighted. Longer bars mean higher scores.

GPT-5.2 Max 86.9
GPT-5.1 Reasoning 86.2
GPT-5.2 85.3
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.1 Max 85.1
Grok 4 Pro 84.9
Claude Opus 4.5 Reasoning 84.6
Claude Sonnet 4.5 Pro 84.5
GPT-5.2 Pro 84.4
GPT-5.2 Vision 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.2 OpenAI 2000000 $19.71 88.0
4 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
5 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
6 Grok 4 Pro xAI 1000000 $19.00 85.4
7 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
8 Claude Sonnet 4.5 Pro Anthropic 1000000 $18.73 86.7
9 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
10 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4

What this score means

On MMMU, Mistral Small 3 sits at #226 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 14.1 points. The median model in this index scores 70.0, which puts Mistral Small 3 above the midpoint.

Mistral AI models average 64.8 on this benchmark. Mistral Small 3 is 8.0 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among multimodal models, the average is 74.3. Mistral Small 3 is 1.5 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 72.8 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 $3.90 per million input tokens, Mistral Small 3 is below the median input price of $4.00 across the 600 models scored on MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
MiniMax-Text Instruct MiniMax 128000 $4.59 77.7
Llama 3.3 Groq Chat Groq 32768 $4.06 76.8
Mistral Small 3 Instruct Mistral AI 32768 $3.97 75.1
Seed-OSS Chat ByteDance 65536 $3.49 74.4
Mistral Small 3 Mistral AI 32768 $3.90 75.3
Hunyuan-Turbo Tencent 128000 $10.55 75.8
Mixtral Mistral AI 65536 $3.48 73.7

Other benchmarks for Mistral Small 3

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.1 240 60th
GPQA Diamond 73.8 177 71th
SWE-bench Verified 65.6 202 66th
HumanEval 78.6 275 54th
MATH-500 77.2 274 54th
AIME 2025 70.8 242 60th
LiveCodeBench 65.1 292 51th
IFEval 83.5 232 61th
TruthfulQA 76.3 300 50th
HellaSwag 86.5 193 68th
Arena Elo 1407.1 190 68th

FAQ

What score does Mistral Small 3 get on MMMU?

Mistral Small 3 scores 72.8 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Mistral Small 3 rank on MMMU?

It ranks #226 of 600 models, in the 62nd percentile. The leader is GPT-5.2 Max at 86.9.

Is Mistral Small 3 good at MMMU?

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 MMMU score calculated?

MMMU is a multimodal 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 Mistral Small 3 cost?

Mistral Small 3 costs $3.90 per million input tokens and $20.43 per million output tokens.

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