Knowledge · Mistral AI

Magistral 8B on MMLU-Pro: score, rank and what it means

Magistral 8B scores 64.8 on MMLU-Pro, placing it #457 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
64.8
0–100 scale
Rank
#457
of 600
Percentile
24th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
26.8
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Magistral 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, Magistral 8B sits at #457 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 26.8 points. The median model in this index scores 76.1, which puts Magistral 8B below the midpoint.

Mistral AI models average 71.4 on this benchmark. Magistral 8B is 6.6 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. Magistral 8B is 5.0 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 64.8 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 $1.33 per million input tokens, Magistral 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
Auto Nano OpenRouter 4096 $2.83 57.1
Llama 3 DeepInfra 8B DeepInfra 8192 $1.05 57.4
QwQ 7B Alibaba Cloud 8192 $1.11 58.1
Llama 3.1 7B Meta AI 8192 $1.01 57.4
Magistral 8B Mistral AI 4096 $1.33 60.0
Magistral 7B Mistral AI 32768 $1.22 58.9
Mistral Large 3 8B Mistral AI 16384 $1.62 61.6

Other benchmarks for Magistral 8B

BenchmarkScoreRankPercentileRelative
GPQA Diamond 53.1 490 18th
SWE-bench Verified 47.8 438 27th
HumanEval 63.2 456 24th
MATH-500 59.6 472 21th
AIME 2025 48.4 468 22th
LiveCodeBench 52.4 422 30th
IFEval 70.5 450 25th
TruthfulQA 66.2 441 27th
HellaSwag 74.8 445 26th
MMMU 58.7 447 26th
Arena Elo 1282.0 440 27th

FAQ

What score does Magistral 8B get on MMLU-Pro?

Magistral 8B scores 64.8 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Magistral 8B rank on MMLU-Pro?

It ranks #457 of 600 models, in the 24th percentile. The leader is GPT-5.2 Pro at 91.6.

Is Magistral 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 Magistral 8B cost?

Magistral 8B costs $1.33 per million input tokens and $6.03 per million output tokens.

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