Mathematics · Together AI

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

Mixtral Turbo Base scores 61.5 on AIME 2025, placing it #378 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
61.5
0–100 scale
Rank
#378
of 600
Percentile
37th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
29.9
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Mixtral Turbo Base 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 Base sits at #378 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 29.9 points. The median model in this index scores 67.6, which puts Mixtral Turbo Base below the midpoint.

Together AI models average 56.2 on this benchmark. Mixtral Turbo Base is 5.3 points above that provider line, so it is a stronger result than the average Together AI model.

Among open-weight models, the average is 61.8. Mixtral Turbo Base is 0.2 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 61.5 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 $2.53 per million input tokens, Mixtral Turbo Base 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
Grok 3 Nano xAI 8192 $7.12 67.8
Molmo Instruct Allen Institute for AI 32768 $2.53 68.3
Claude 3.7 Sonnet Nano Anthropic 65536 $6.93 68.9
Embed 4 Max Cohere 8192 $5.68 66.1
Mixtral Turbo Base Together AI 32768 $2.53 69.7
Nemotron Nano Chat NVIDIA 32768 $2.21 66.2
Firesearch Turbo Fireworks AI 16384 $7.58 69.3

Other benchmarks for Mixtral Turbo Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 70.7 390 35th
GPQA Diamond 63.7 380 37th
SWE-bench Verified 57.9 356 41th
HumanEval 72.9 374 38th
MATH-500 74.0 347 42th
LiveCodeBench 62.1 347 42th
IFEval 79.5 343 43th
TruthfulQA 74.2 349 42th
HellaSwag 82.8 327 46th
MMMU 67.9 344 43th
Arena Elo 1355.8 354 41th

FAQ

What score does Mixtral Turbo Base get on AIME 2025?

Mixtral Turbo Base scores 61.5 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Mixtral Turbo Base rank on AIME 2025?

It ranks #378 of 600 models, in the 37th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Mixtral Turbo Base 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 Base cost?

Mixtral Turbo Base costs $2.53 per million input tokens and $10.80 per million output tokens.

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