Llama 3.3 Groq 7B on MMLU-Pro: score, rank and what it means
Llama 3.3 Groq 7B scores 64.0 on MMLU-Pro, placing it #472 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 7B 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 7B sits at #472 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 27.6 points. The median model in this index scores 76.1, which puts Llama 3.3 Groq 7B below the midpoint.
Groq models average 68.9 on this benchmark. Llama 3.3 Groq 7B is 4.9 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 7B is 4.2 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 64.0 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 $1.01 per million input tokens, Llama 3.3 Groq 7B 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 |
|---|---|---|---|---|
| Hunyuan-Large 8B | Tencent | 4096 | $1.29 | 58.7 |
| MiniMax-M2 7B | MiniMax | 8192 | $1.44 | 60.8 |
| Firefunction Nano | Fireworks AI | 16384 | $3.07 | 58.1 |
| Hunyuan-Large 7B | Tencent | 32768 | $1.08 | 57.7 |
| Llama 3.3 Groq 7B | Groq | 16384 | $1.01 | 56.7 |
| MiniMax-Text 8B | MiniMax | 4096 | $1.22 | 59.5 |
| Llama 3.1 Turbo 7B | Together AI | 8192 | $0.98 | 56.4 |
Other benchmarks for Llama 3.3 Groq 7B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| GPQA Diamond | 55.0 | 463 | 23th | |
| SWE-bench Verified | 40.9 | 511 | 15th | |
| HumanEval | 61.1 | 485 | 19th | |
| MATH-500 | 56.5 | 502 | 16th | |
| AIME 2025 | 45.3 | 497 | 17th | |
| LiveCodeBench | 44.7 | 502 | 16th | |
| IFEval | 65.7 | 524 | 13th | |
| TruthfulQA | 64.0 | 469 | 22th | |
| HellaSwag | 70.5 | 529 | 12th | |
| MMMU | 56.0 | 488 | 19th | |
| Arena Elo | 1240.6 | 511 | 15th |
FAQ
What score does Llama 3.3 Groq 7B get on MMLU-Pro?
Llama 3.3 Groq 7B scores 64.0 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 7B rank on MMLU-Pro?
It ranks #472 of 600 models, in the 21st percentile. The leader is GPT-5.2 Pro at 91.6.
Is Llama 3.3 Groq 7B 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 7B cost?
Llama 3.3 Groq 7B costs $1.01 per million input tokens and $3.60 per million output tokens.