Mathematics · Together AI

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

Mixtral Turbo 7B scores 40.9 on AIME 2025, placing it #537 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
40.9
0–100 scale
Rank
#537
of 600
Percentile
11th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
50.5
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Mixtral Turbo 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, Mixtral Turbo 7B sits at #537 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 50.5 points. The median model in this index scores 67.6, which puts Mixtral Turbo 7B below the midpoint.

Together AI models average 56.2 on this benchmark. Mixtral Turbo 7B is 15.3 points below that provider line, so it is a weaker result than the average Together AI model.

Among small open-weight models, the average is 41.6. Mixtral Turbo 7B is 0.7 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 40.9 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 $0.68 per million input tokens, Mixtral Turbo 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
Qwen3 1.5B Alibaba Cloud 4096 $0.84 53.5
Yi-Lightning 7B 01.AI 32768 $1.00 55.9
OLMo 2 7B Allen Institute for AI 16384 $0.56 51.7
OLMo 2 8B Allen Institute for AI 4096 $0.64 52.5
Mixtral Turbo 7B Together AI 8192 $0.68 53.2
Nemotron 4 1.5B NVIDIA 32768 $0.49 50.8
DBRX 7B Databricks 8192 $0.65 51.9

Other benchmarks for Mixtral Turbo 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.1 527 12th
GPQA Diamond 47.7 541 10th
SWE-bench Verified 41.3 508 15th
HumanEval 55.2 542 10th
MATH-500 50.7 550 8th
LiveCodeBench 37.1 555 8th
IFEval 66.1 517 14th
TruthfulQA 61.9 507 16th
HellaSwag 69.9 536 11th
MMMU 54.3 505 16th
Arena Elo 1220.0 534 11th

FAQ

What score does Mixtral Turbo 7B get on AIME 2025?

Mixtral Turbo 7B scores 40.9 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Mixtral Turbo 7B rank on AIME 2025?

It ranks #537 of 600 models, in the 11th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Mixtral Turbo 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 Mixtral Turbo 7B cost?

Mixtral Turbo 7B costs $0.68 per million input tokens and $2.86 per million output tokens.

Related