Llama 3.3 Groq 7B on MMMU: score, rank and what it means
Llama 3.3 Groq 7B scores 56.0 on MMMU, placing it #488 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.
Score distribution
The chart shows the top 10 models on MMMU, 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 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 2 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 3 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 4 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 5 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 6 | Grok 4 Pro | xAI | 1000000 | $19.00 | 85.4 |
| 7 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 8 | Claude Sonnet 4.5 Pro | Anthropic | 1000000 | $18.73 | 86.7 |
| 9 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 10 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
What this score means
On MMMU, Llama 3.3 Groq 7B sits at #488 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 30.9 points. The median model in this index scores 70.0, which puts Llama 3.3 Groq 7B below the midpoint.
Groq models average 62.8 on this benchmark. Llama 3.3 Groq 7B is 6.8 points below that provider line, so it is a weaker result than the average Groq model.
Among small open-weight models, the average is 52.4. Llama 3.3 Groq 7B is 3.6 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 56.0 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 MMMU. 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 |
|---|---|---|---|---|
| DeepSeek-R1 1.5B | DeepSeek | 16384 | $1.04 | 56.6 |
| Pythia Instruct | EleutherAI | 8192 | $1.41 | 60.8 |
| Firefunction Nano | Fireworks AI | 16384 | $3.07 | 58.1 |
| Llama 3 Anyscale 7B | Anyscale | 4096 | $0.98 | 56.2 |
| Llama 3.3 Groq 7B | Groq | 16384 | $1.01 | 56.7 |
| Nova Lite Nano | Amazon | 8192 | $3.29 | 59.5 |
| Fusion Nano | OpenRouter | 8192 | $2.96 | 56.8 |
Other benchmarks for Llama 3.3 Groq 7B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 64.0 | 472 | 21th | |
| 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 | |
| Arena Elo | 1240.6 | 511 | 15th |
FAQ
What score does Llama 3.3 Groq 7B get on MMMU?
Llama 3.3 Groq 7B scores 56.0 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does Llama 3.3 Groq 7B rank on MMMU?
It ranks #488 of 600 models, in the 19th percentile. The leader is GPT-5.2 Max at 86.9.
Is Llama 3.3 Groq 7B good at MMMU?
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 MMMU score calculated?
MMMU is a multimodal 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.