Reasoning · Groq

Llama 3.3 Groq 8B on GPQA Diamond: score, rank and what it means

Llama 3.3 Groq 8B scores 57.3 on GPQA Diamond, placing it #435 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
57.3
0–100 scale
Rank
#435
of 600
Percentile
28th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
29.7
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Llama 3.3 Groq 8B 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, Llama 3.3 Groq 8B sits at #435 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 29.7 points. The median model in this index scores 68.8, which puts Llama 3.3 Groq 8B below the midpoint.

Groq models average 60.6 on this benchmark. Llama 3.3 Groq 8B is 3.3 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. Llama 3.3 Groq 8B is 8.0 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 57.3 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 $1.17 per million input tokens, Llama 3.3 Groq 8B 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
DeepSeek-R1 7B DeepSeek 32768 $1.79 63.0
Magistral 7B Mistral AI 32768 $1.22 58.9
SmolLM3 Chat Hugging Face 16384 $1.61 62.1
Sonar Nano Perplexity 4096 $4.37 61.9
Llama 3.3 Groq 8B Groq 16384 $1.17 59.5
Llama 4 Maverick 8B Meta AI 4096 $1.64 63.4
Qwen3 8B Alibaba Cloud 8192 $1.66 61.9

Other benchmarks for Llama 3.3 Groq 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 62.6 493 18th
SWE-bench Verified 46.9 447 26th
HumanEval 61.6 473 21th
MATH-500 60.1 462 23th
AIME 2025 50.6 455 24th
LiveCodeBench 47.7 469 22th
IFEval 70.4 453 25th
TruthfulQA 64.7 462 23th
HellaSwag 75.3 437 27th
MMMU 57.3 466 22th
Arena Elo 1277.4 449 25th

FAQ

What score does Llama 3.3 Groq 8B get on GPQA Diamond?

Llama 3.3 Groq 8B scores 57.3 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Llama 3.3 Groq 8B rank on GPQA Diamond?

It ranks #435 of 600 models, in the 28th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Llama 3.3 Groq 8B 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 Llama 3.3 Groq 8B cost?

Llama 3.3 Groq 8B costs $1.17 per million input tokens and $6.16 per million output tokens.

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