Knowledge · Mistral AI

Mistral Small 3 8B on MMLU-Pro: score, rank and what it means

Mistral Small 3 8B scores 62.6 on MMLU-Pro, placing it #494 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
62.6
0–100 scale
Rank
#494
of 600
Percentile
18th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
29.0
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Mistral Small 3 8B 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 8B sits at #494 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 29.0 points. The median model in this index scores 76.1, which puts Mistral Small 3 8B below the midpoint.

Mistral AI models average 71.4 on this benchmark. Mistral Small 3 8B is 8.8 points below that provider line, so it is a weaker result than the average Mistral AI model.

Among small open-weight models, the average is 59.8. Mistral Small 3 8B is 2.8 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 62.6 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 $0.99 per million input tokens, Mistral Small 3 8B 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 3.1 Cerebras 7B Cerebras 32768 $0.95 56.5
Llama 3.3 7B Meta AI 8192 $1.18 57.8
Command R+ 8B Cohere 8192 $1.21 57.7
Llama 3.3 Groq 8B Groq 16384 $1.17 59.5
Mistral Small 3 8B Mistral AI 8192 $0.99 57.2
Llama 3 Baseten 7B Baseten 32768 $0.87 55.3
Llama 3.3 8B Meta AI 8192 $1.26 60.1

Other benchmarks for Mistral Small 3 8B

BenchmarkScoreRankPercentileRelative
GPQA Diamond 51.8 501 17th
SWE-bench Verified 40.7 514 14th
HumanEval 61.3 478 20th
MATH-500 55.5 516 14th
AIME 2025 47.5 473 21th
LiveCodeBench 45.8 489 19th
IFEval 68.9 477 21th
TruthfulQA 62.9 494 18th
HellaSwag 73.5 468 22th
MMMU 58.3 453 25th
Arena Elo 1253.4 485 19th

FAQ

What score does Mistral Small 3 8B get on MMLU-Pro?

Mistral Small 3 8B scores 62.6 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Mistral Small 3 8B rank on MMLU-Pro?

It ranks #494 of 600 models, in the 18th percentile. The leader is GPT-5.2 Pro at 91.6.

Is Mistral Small 3 8B good at MMLU-Pro?

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 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 8B cost?

Mistral Small 3 8B costs $0.99 per million input tokens and $5.38 per million output tokens.

Related