Llama 3.3 Groq 8B on MMLU-Pro: score, rank and what it means
Llama 3.3 Groq 8B scores 62.6 on MMLU-Pro, placing it #493 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.
Score distribution
The chart shows the top 10 models on MMLU-Pro, with Llama 3.3 Groq 8B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 2 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 3 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 4 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 5 | Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| 6 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 7 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 8 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 9 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
| 10 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
What this score means
On MMLU-Pro, Llama 3.3 Groq 8B sits at #493 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 29.0 points. The median model in this index scores 76.1, which puts Llama 3.3 Groq 8B below the midpoint.
Groq models average 68.9 on this benchmark. Llama 3.3 Groq 8B is 6.3 points below that provider line, so it is a weaker result than the average Groq model.
Among small open-weight models, the average is 59.8. Llama 3.3 Groq 8B is 2.8 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 62.6 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 MMLU-Pro. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| MiniMax-Text 7B | MiniMax | 16384 | $1.10 | 57.7 |
| Llama 3.1 Cerebras 7B | Cerebras | 32768 | $0.95 | 56.5 |
| Llama 3.3 7B | Meta AI | 8192 | $1.18 | 57.8 |
| Command R+ 8B | Cohere | 8192 | $1.21 | 57.7 |
| Llama 3.3 Groq 8B | Groq | 16384 | $1.17 | 59.5 |
| Mistral Small 3 8B | Mistral AI | 8192 | $0.99 | 57.2 |
| Llama 3 Baseten 7B | Baseten | 32768 | $0.87 | 55.3 |
Other benchmarks for Llama 3.3 Groq 8B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| GPQA Diamond | 57.3 | 435 | 28th | |
| 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 MMLU-Pro?
Llama 3.3 Groq 8B scores 62.6 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.
How does Llama 3.3 Groq 8B rank on MMLU-Pro?
It ranks #493 of 600 models, in the 18th percentile. The leader is GPT-5.2 Pro at 91.6.
Is Llama 3.3 Groq 8B good at MMLU-Pro?
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 MMLU-Pro score calculated?
MMLU-Pro is a knowledge 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.