Reasoning · Groq

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

Mixtral Groq Base scores 64.4 on GPQA Diamond, placing it #374 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
64.4
0–100 scale
Rank
#374
of 600
Percentile
38th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
22.6
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Mixtral Groq Base 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 Base sits at #374 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 22.6 points. The median model in this index scores 68.8, which puts Mixtral Groq Base below the midpoint.

Groq models average 60.6 on this benchmark. Mixtral Groq Base is 3.8 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 Base is 0.8 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 64.4 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 $2.66 per million input tokens, Mixtral Groq Base 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
ERNIE 4.5 Mini Baidu 32768 $8.62 71.0
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8
Firesearch Turbo Fireworks AI 16384 $7.58 69.3
Fusion OpenRouter 16384 $8.41 71.1
Mixtral Groq Base Groq 32768 $2.66 68.4
Llama 3 Hyperbolic Base Hyperbolic 32768 $3.02 71.1
Mixtral Base Mistral AI 65536 $2.95 71.1

Other benchmarks for Mixtral Groq Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 71.0 389 35th
SWE-bench Verified 54.9 386 36th
HumanEval 71.8 381 37th
MATH-500 70.9 381 37th
AIME 2025 64.5 349 42th
LiveCodeBench 58.8 380 37th
IFEval 76.3 385 36th
TruthfulQA 74.9 332 45th
HellaSwag 81.1 368 39th
MMMU 64.0 390 35th
Arena Elo 1335.6 381 37th

FAQ

What score does Mixtral Groq Base get on GPQA Diamond?

Mixtral Groq Base scores 64.4 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Mixtral Groq Base rank on GPQA Diamond?

It ranks #374 of 600 models, in the 38th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Mixtral Groq Base 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 Base cost?

Mixtral Groq Base costs $2.66 per million input tokens and $11.35 per million output tokens.

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