Mathematics · Groq

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

Mixtral Groq scores 67.5 on AIME 2025, placing it #303 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
67.5
0–100 scale
Rank
#303
of 600
Percentile
50th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
23.9
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Mixtral Groq 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 Groq sits at #303 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 23.9 points. The median model in this index scores 67.6, which puts Mixtral Groq below the midpoint.

Groq models average 58.7 on this benchmark. Mixtral Groq is 8.8 points above that provider line, so it is a stronger result than the average Groq model.

Among open-weight models, the average is 61.8. Mixtral Groq is 5.8 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 67.5 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 $3.37 per million input tokens, Mixtral Groq 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 DeepInfra DeepInfra 128000 $3.67 74.0
Llama 3.1 Chat Meta AI 32768 $3.82 75.3
DBRX Instruct Databricks 8192 $3.21 72.4
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8
Mixtral Groq Groq 16384 $3.37 73.1
Mixtral Turbo Instruct Together AI 32768 $3.16 71.9
DBRX Chat Databricks 65536 $3.07 71.7

Other benchmarks for Mixtral Groq

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.1 331 45th
GPQA Diamond 66.1 343 43th
SWE-bench Verified 62.0 281 53th
HumanEval 78.7 271 55th
MATH-500 74.9 329 45th
LiveCodeBench 64.1 314 48th
IFEval 81.2 300 50th
TruthfulQA 78.6 235 61th
HellaSwag 85.0 247 59th
MMMU 70.7 280 53th
Arena Elo 1388.6 254 58th

FAQ

What score does Mixtral Groq get on AIME 2025?

Mixtral Groq scores 67.5 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Mixtral Groq rank on AIME 2025?

It ranks #303 of 600 models, in the 50th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Mixtral Groq 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 Groq cost?

Mixtral Groq costs $3.37 per million input tokens and $15.23 per million output tokens.

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