Reasoning · Groq

Mixtral Groq 7B on GPQA Diamond: score, rank and what it means

Mixtral Groq 7B scores 47.5 on GPQA Diamond, placing it #544 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
47.5
0–100 scale
Rank
#544
of 600
Percentile
9th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
39.5
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Mixtral Groq 7B highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Mixtral Groq 7B sits at #544 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 39.5 points. The median model in this index scores 68.8, which puts Mixtral Groq 7B below the midpoint.

Groq models average 60.6 on this benchmark. Mixtral Groq 7B is 13.1 points below that provider line, so it is a weaker result than the average Groq model.

Among small open-weight models, the average is 49.3. Mixtral Groq 7B is 1.8 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 47.5 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 $0.70 per million input tokens, Mixtral Groq 7B is below the median input price of $4.00 across the 600 models scored on GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Molmo 8B Allen Institute for AI 32768 $0.44 49.9
Mixtral Turbo 7B Together AI 8192 $0.68 53.2
Phi-3.5 7B Microsoft 4096 $0.50 50.5
GLM-4.5 1.5B Zhipu AI 16384 $0.65 53.3
Mixtral Groq 7B Groq 4096 $0.70 53.4
QwQ 1.5B Alibaba Cloud 32768 $0.61 51.6
Phi-3.5 8B Microsoft 16384 $0.59 51.2

Other benchmarks for Mixtral Groq 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 59.3 532 11th
SWE-bench Verified 36.6 545 9th
HumanEval 58.5 519 14th
MATH-500 51.1 546 9th
AIME 2025 43.2 520 13th
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 GPQA Diamond?

Mixtral Groq 7B scores 47.5 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Mixtral Groq 7B rank on GPQA Diamond?

It ranks #544 of 600 models, in the 9th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Mixtral Groq 7B good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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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