Mathematics · Mistral AI

Mistral Large 3 8B on AIME 2025: score, rank and what it means

Mistral Large 3 8B scores 53.3 on AIME 2025, placing it #430 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
53.3
0–100 scale
Rank
#430
of 600
Percentile
28th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
38.1
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Mistral Large 3 8B 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, Mistral Large 3 8B sits at #430 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 38.1 points. The median model in this index scores 67.6, which puts Mistral Large 3 8B below the midpoint.

Mistral AI models average 59.6 on this benchmark. Mistral Large 3 8B is 6.3 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. Mistral Large 3 8B is 11.7 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 53.3 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 $1.62 per million input tokens, Mistral Large 3 8B 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
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1
GLM-4.5 8B Zhipu AI 32768 $1.46 61.3
Llama 3.3 8B Meta AI 8192 $1.26 60.1
MiniMax-M2 8B MiniMax 32768 $1.65 61.7
Mistral Large 3 8B Mistral AI 16384 $1.62 61.6
Embed 4 Pro Cohere 4096 $5.05 63.5
Embed 4 Turbo Cohere 4096 $5.13 64.0

Other benchmarks for Mistral Large 3 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.7 459 24th
GPQA Diamond 55.7 453 25th
SWE-bench Verified 48.9 430 28th
HumanEval 66.5 425 29th
MATH-500 61.0 452 25th
LiveCodeBench 52.1 429 29th
IFEval 73.7 408 32th
TruthfulQA 65.7 449 25th
HellaSwag 76.3 422 30th
MMMU 59.7 431 28th
Arena Elo 1301.3 417 31th

FAQ

What score does Mistral Large 3 8B get on AIME 2025?

Mistral Large 3 8B scores 53.3 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Mistral Large 3 8B rank on AIME 2025?

It ranks #430 of 600 models, in the 28th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Mistral Large 3 8B 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 Mistral Large 3 8B cost?

Mistral Large 3 8B costs $1.62 per million input tokens and $6.82 per million output tokens.

Related