Mathematics · Mistral AI

Magistral 7B on AIME 2025: score, rank and what it means

Magistral 7B scores 46.0 on AIME 2025, placing it #489 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
46.0
0–100 scale
Rank
#489
of 600
Percentile
19th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
45.4
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Magistral 7B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Magistral 7B sits at #489 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 45.4 points. The median model in this index scores 67.6, which puts Magistral 7B below the midpoint.

Mistral AI models average 59.6 on this benchmark. Magistral 7B is 13.6 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 41.6. Magistral 7B is 4.4 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 46.0 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 $1.22 per million input tokens, Magistral 7B is below the median input price of $4.00 across the 600 models scored on AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Kimi K2 1.5B Moonshot AI 4096 $0.99 56.8
GPT-NeoX Base EleutherAI 16384 $1.22 59.7
Llama 3.3 7B Meta AI 8192 $1.18 57.8
Llama 3 Anyscale 7B Anyscale 4096 $0.98 56.2
Magistral 7B Mistral AI 32768 $1.22 58.9
Yi-Large 7B 01.AI 4096 $0.83 55.0
DBRX 8B Databricks 4096 $0.82 54.1

Other benchmarks for Magistral 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.7 458 24th
GPQA Diamond 57.6 432 28th
SWE-bench Verified 46.6 448 25th
HumanEval 61.1 486 19th
MATH-500 58.0 490 18th
LiveCodeBench 51.3 436 27th
IFEval 69.6 467 22th
TruthfulQA 62.0 504 16th
HellaSwag 73.1 478 20th
MMMU 57.8 459 24th
Arena Elo 1263.4 469 22th

FAQ

What score does Magistral 7B get on AIME 2025?

Magistral 7B scores 46.0 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Magistral 7B rank on AIME 2025?

It ranks #489 of 600 models, in the 19th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Magistral 7B good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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 7B cost?

Magistral 7B costs $1.22 per million input tokens and $5.57 per million output tokens.

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