Mathematics · Groq

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

Mixtral Groq 7B scores 43.2 on AIME 2025, placing it #520 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
43.2
0–100 scale
Rank
#520
of 600
Percentile
13th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
48.2
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Mixtral Groq 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 Groq 7B sits at #520 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 48.2 points. The median model in this index scores 67.6, which puts Mixtral Groq 7B below the midpoint.

Groq models average 58.7 on this benchmark. Mixtral Groq 7B is 15.5 points below that provider line, so it is a weaker result than the average Groq model.

Among small open-weight models, the average is 41.6. Mixtral Groq 7B is 1.6 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 43.2 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 $0.70 per million input tokens, Mixtral Groq 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
Gemma 3 8B Google DeepMind 16384 $0.96 56.5
Llama 4 Scout 1.5B Meta AI 8192 $0.66 53.0
Phi-4 8B Microsoft 32768 $0.96 54.9
Seed-OSS 8B ByteDance 8192 $1.05 57.1
Mixtral Groq 7B Groq 4096 $0.70 53.4
Qwen3-Coder 1.5B Alibaba Cloud 32768 $0.76 52.8
Seed-OSS 7B ByteDance 8192 $0.85 55.5

Other benchmarks for Mixtral Groq 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 59.3 532 11th
GPQA Diamond 47.5 544 9th
SWE-bench Verified 36.6 545 9th
HumanEval 58.5 519 14th
MATH-500 51.1 546 9th
LiveCodeBench 43.2 515 14th
IFEval 65.7 525 13th
TruthfulQA 60.1 529 12th
HellaSwag 71.8 504 16th
MMMU 50.2 551 8th
Arena Elo 1227.8 529 12th

FAQ

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

Mixtral Groq 7B scores 43.2 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Mixtral Groq 7B rank on AIME 2025?

It ranks #520 of 600 models, in the 13th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Mixtral Groq 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 Groq 7B cost?

Mixtral Groq 7B costs $0.70 per million input tokens and $2.47 per million output tokens.

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