Mathematics · Mistral AI

Mixtral 8B on AIME 2025: score, rank and what it means

Mixtral 8B scores 44.3 on AIME 2025, placing it #504 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
44.3
0–100 scale
Rank
#504
of 600
Percentile
16th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
47.1
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Mixtral 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, Mixtral 8B sits at #504 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 47.1 points. The median model in this index scores 67.6, which puts Mixtral 8B below the midpoint.

Mistral AI models average 59.6 on this benchmark. Mixtral 8B is 15.3 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. Mixtral 8B is 2.7 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 44.3 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 $0.91 per million input tokens, Mixtral 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
Llama 3.1 Cerebras 7B Cerebras 32768 $0.95 56.5
Llama 3.1 Turbo 7B Together AI 8192 $0.98 56.4
Llama 3.1 Turbo 8B Together AI 32768 $1.16 58.8
Llama 3 Modal 7B Modal 4096 $0.88 55.2
Mixtral 8B Mistral AI 8192 $0.91 55.4
Auto Nano OpenRouter 4096 $2.83 57.1
Llama 3 Novita 7B Novita AI 8192 $0.92 56.3

Other benchmarks for Mixtral 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 62.0 502 16th
GPQA Diamond 52.3 498 17th
SWE-bench Verified 41.1 510 15th
HumanEval 58.6 516 14th
MATH-500 56.3 504 16th
LiveCodeBench 41.9 526 12th
IFEval 68.4 484 19th
TruthfulQA 61.4 515 14th
HellaSwag 71.5 510 15th
MMMU 52.1 529 12th
Arena Elo 1252.7 487 19th

FAQ

What score does Mixtral 8B get on AIME 2025?

Mixtral 8B scores 44.3 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Mixtral 8B rank on AIME 2025?

It ranks #504 of 600 models, in the 16th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Mixtral 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 Mixtral 8B cost?

Mixtral 8B costs $0.91 per million input tokens and $4.38 per million output tokens.

Related