Reasoning · Mistral AI

Magistral 8B on GPQA Diamond: score, rank and what it means

Magistral 8B scores 53.1 on GPQA Diamond, placing it #490 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
53.1
0–100 scale
Rank
#490
of 600
Percentile
18th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
33.9
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Magistral 8B highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Magistral 8B sits at #490 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 33.9 points. The median model in this index scores 68.8, which puts Magistral 8B below the midpoint.

Mistral AI models average 63.3 on this benchmark. Magistral 8B is 10.2 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 49.3. Magistral 8B is 3.8 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 53.1 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 $1.33 per million input tokens, Magistral 8B is below the median input price of $4.00 across the 600 models scored on GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
DeepSeek-V3.2 1.5B DeepSeek 4096 $1.02 56.9
Llama 4 Maverick 1.5B Meta AI 8192 $0.93 55.2
Codestral 8B Mistral AI 4096 $1.18 59.0
Phi-4 8B Microsoft 32768 $0.96 54.9
Magistral 8B Mistral AI 4096 $1.33 60.0
Llama 3 DeepInfra 8B DeepInfra 8192 $1.05 57.4
Phi-4 7B Microsoft 8192 $0.91 56.8

Other benchmarks for Magistral 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.8 457 24th
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 GPQA Diamond?

Magistral 8B scores 53.1 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Magistral 8B rank on GPQA Diamond?

It ranks #490 of 600 models, in the 18th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Magistral 8B good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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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