Knowledge · Mistral AI

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

Mistral Small 3 Chat scores 76.7 on MMLU-Pro, placing it #286 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
76.7
0–100 scale
Rank
#286
of 600
Percentile
52th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
14.9
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Mistral Small 3 Chat 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 Chat sits at #286 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 14.9 points. The median model in this index scores 76.1, which puts Mistral Small 3 Chat above the midpoint.

Mistral AI models average 71.4 on this benchmark. Mistral Small 3 Chat is 5.3 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 Chat is 3.3 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 76.7 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 $3.54 per million input tokens, Mistral Small 3 Chat 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
Llama 3 Lambda Chat Lambda 32768 $3.73 74.7
Llama 3 Modal Chat Modal 65536 $3.55 73.3
Sonar Reasoning Perplexity 200000 $11.48 76.2
GPT-4.1 Mini OpenAI 128000 $10.43 74.3
Mistral Small 3 Chat Mistral AI 200000 $3.54 73.7
Auto Pro OpenRouter 8192 $8.41 71.2
Llama 3 Modal Base Modal 16384 $3.21 72.2

Other benchmarks for Mistral Small 3 Chat

BenchmarkScoreRankPercentileRelative
GPQA Diamond 68.2 310 48th
SWE-bench Verified 61.6 291 52th
HumanEval 80.1 231 62th
MATH-500 75.2 322 46th
AIME 2025 66.9 315 48th
LiveCodeBench 67.6 235 61th
IFEval 82.9 247 59th
TruthfulQA 78.8 226 62th
HellaSwag 82.6 333 45th
MMMU 70.4 285 53th
Arena Elo 1387.4 257 57th

FAQ

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

Mistral Small 3 Chat scores 76.7 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Mistral Small 3 Chat rank on MMLU-Pro?

It ranks #286 of 600 models, in the 52nd percentile. The leader is GPT-5.2 Pro at 91.6.

Is Mistral Small 3 Chat 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 Chat cost?

Mistral Small 3 Chat costs $3.54 per million input tokens and $16.77 per million output tokens.

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