Knowledge · Mistral AI

Mistral Small 3 on MMLU-Pro: score, rank and what it means

Mistral Small 3 scores 78.1 on MMLU-Pro, placing it #240 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
78.1
0–100 scale
Rank
#240
of 600
Percentile
60th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
13.5
points

Score distribution

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

GPT-5.2 Pro 91.6
GPT-5.1 Max 91.3
Claude Opus 4.5 Pro 91.2
Claude Opus 4.5 Reasoning 90.7
Gemini 3 Pro Reasoning 90.1
GPT-5.1 Reasoning 90.0
GPT-5.2 89.9
Claude Opus 4.5 Max 89.5
GPT-5.2 Vision 89.5
Gemini 3 Pro Max 89.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
6 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
7 GPT-5.2 OpenAI 2000000 $19.71 88.0
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On MMLU-Pro, Mistral Small 3 sits at #240 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 13.5 points. The median model in this index scores 76.1, which puts Mistral Small 3 above the midpoint.

Mistral AI models average 71.4 on this benchmark. Mistral Small 3 is 6.7 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among multimodal models, the average is 80.0. Mistral Small 3 is 1.9 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 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 $3.90 per million input tokens, Mistral Small 3 is below the median input price of $4.00 across the 600 models scored on MMLU-Pro. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Reka Core Turbo Reka AI 32768 $12.58 78.4
Kimi K1.5 Base Moonshot AI 65536 $4.34 77.4
Llama 3 Hyperbolic Hyperbolic 65536 $3.86 74.5
Nova Lite Amazon 65536 $9.20 73.4
Mistral Small 3 Mistral AI 32768 $3.90 75.3
Hunyuan-Large Base Tencent 200000 $3.64 74.0
Llama 3 Lambda Base Lambda 8192 $3.19 72.9

Other benchmarks for Mistral Small 3

BenchmarkScoreRankPercentileRelative
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
MMMU 72.8 226 62th
Arena Elo 1407.1 190 68th

FAQ

What score does Mistral Small 3 get on MMLU-Pro?

Mistral Small 3 scores 78.1 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Mistral Small 3 rank on MMLU-Pro?

It ranks #240 of 600 models, in the 60th percentile. The leader is GPT-5.2 Pro at 91.6.

Is Mistral Small 3 good at MMLU-Pro?

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 MMLU-Pro score calculated?

MMLU-Pro is a knowledge 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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