Llama 3.3 Groq 7B on Arena Elo: score, rank and what it means
Llama 3.3 Groq 7B scores 1240.6 on Arena Elo, placing it #511 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.
Score distribution
The chart shows the top 10 models on Arena Elo, with Llama 3.3 Groq 7B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 2 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 3 | GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| 4 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 5 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 6 | Gemini 3 Pro Turbo | Google DeepMind | 400000 | $19.62 | 86.4 |
| 7 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 8 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 9 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 10 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
What this score means
On Arena Elo, Llama 3.3 Groq 7B sits at #511 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 261.3 points. The median model in this index scores 1373.8, which puts Llama 3.3 Groq 7B below the midpoint.
Groq models average 1315.3 on this benchmark. Llama 3.3 Groq 7B is 74.7 points below that provider line, so it is a weaker result than the average Groq model.
Among small open-weight models, the average is 1224.7. Llama 3.3 Groq 7B is 15.9 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 1240.6 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 $1.01 per million input tokens, Llama 3.3 Groq 7B is below the median input price of $4.00 across the 600 models scored on Arena Elo. 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 |
|---|---|---|---|---|
| Yi-Large 8B | 01.AI | 32768 | $0.88 | 56.1 |
| Phi-4 7B | Microsoft | 8192 | $0.91 | 56.8 |
| Llama 3 Modal 7B | Modal | 4096 | $0.88 | 55.2 |
| Llama 3 Replicate 8B | Replicate | 32768 | $1.00 | 57.0 |
| Llama 3.3 Groq 7B | Groq | 16384 | $1.01 | 56.7 |
| Pythia Base | EleutherAI | 16384 | $0.99 | 55.9 |
| Llama 3 Lambda 8B | Lambda | 4096 | $1.03 | 57.2 |
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 | |
| MMMU | 56.0 | 488 | 19th |
FAQ
What score does Llama 3.3 Groq 7B get on Arena Elo?
Llama 3.3 Groq 7B scores 1240.6 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.
How does Llama 3.3 Groq 7B rank on Arena Elo?
It ranks #511 of 600 models, in the 15th percentile. The leader is Claude Opus 4.5 Max at 1501.9.
Is Llama 3.3 Groq 7B good at Arena Elo?
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 Arena Elo score calculated?
Arena Elo is a preference 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.