Reasoning · Groq

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

Mixtral Groq scores 66.1 on GPQA Diamond, placing it #343 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
66.1
0–100 scale
Rank
#343
of 600
Percentile
43th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
20.9
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Mixtral Groq 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 sits at #343 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 20.9 points. The median model in this index scores 68.8, which puts Mixtral Groq below the midpoint.

Groq models average 60.6 on this benchmark. Mixtral Groq is 5.5 points above that provider line, so it is a stronger result than the average Groq model.

Among open-weight models, the average is 63.6. Mixtral Groq is 2.5 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 66.1 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 GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Replicate Base Replicate 65536 $3.15 72.1
Llama 3 Modal Base Modal 16384 $3.21 72.2
Claude Haiku 4.5 Mini Anthropic 16384 $8.76 71.6
Firefunction Pro Fireworks AI 16384 $9.05 72.9
Mixtral Groq Groq 16384 $3.37 73.1
Auto Reasoning OpenRouter 65536 $8.39 71.5
GPT-4.1 Nano OpenAI 32768 $7.42 70.5

Other benchmarks for Mixtral Groq

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.1 331 45th
SWE-bench Verified 62.0 281 53th
HumanEval 78.7 271 55th
MATH-500 74.9 329 45th
AIME 2025 67.5 303 50th
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 GPQA Diamond?

Mixtral Groq scores 66.1 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Mixtral Groq rank on GPQA Diamond?

It ranks #343 of 600 models, in the 43rd percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Mixtral Groq 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 cost?

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

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