Llama 3.3 Groq Chat on LiveCodeBench: score, rank and what it means
Llama 3.3 Groq Chat scores 71.3 on LiveCodeBench, placing it #163 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.
Score distribution
The chart shows the top 10 models on LiveCodeBench, with Llama 3.3 Groq Chat highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 2 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 3 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 4 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 5 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 6 | GPT-5.1 Turbo | OpenAI | 2000000 | $19.19 | 86.1 |
| 7 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 8 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 9 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 10 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
What this score means
On LiveCodeBench, Llama 3.3 Groq Chat sits at #163 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 13.8 points. The median model in this index scores 64.7, which puts Llama 3.3 Groq Chat above the midpoint.
Groq models average 55.6 on this benchmark. Llama 3.3 Groq Chat is 15.7 points above that provider line, so it is a stronger result than the average Groq model.
Among multimodal models, the average is 70.3. Llama 3.3 Groq Chat is 1.0 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 71.3 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 $4.06 per million input tokens, Llama 3.3 Groq Chat is above the median input price of $4.00 across the 600 models scored on LiveCodeBench. 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-Lightning | 01.AI | 32768 | $4.22 | 77.2 |
| GLM-4.5 Base | Zhipu AI | 32768 | $3.99 | 74.9 |
| Llama 3 Anyscale Instruct | Anyscale | 200000 | $3.91 | 75.7 |
| MiniMax-Text | MiniMax | 32768 | $4.44 | 77.0 |
| Llama 3.3 Groq Chat | Groq | 32768 | $4.06 | 76.8 |
| QwQ | Alibaba Cloud | 128000 | $4.57 | 78.6 |
| Qwen3-Max Mini | Alibaba Cloud | 128000 | $11.13 | 76.5 |
Other benchmarks for Llama 3.3 Groq Chat
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 79.6 | 192 | 68th | |
| GPQA Diamond | 73.3 | 193 | 68th | |
| SWE-bench Verified | 66.9 | 171 | 72th | |
| HumanEval | 80.2 | 226 | 62th | |
| MATH-500 | 78.2 | 252 | 58th | |
| AIME 2025 | 74.2 | 172 | 71th | |
| IFEval | 83.6 | 226 | 62th | |
| TruthfulQA | 77.4 | 270 | 55th | |
| HellaSwag | 87.2 | 167 | 72th | |
| MMMU | 72.9 | 223 | 63th | |
| Arena Elo | 1412.7 | 178 | 70th |
FAQ
What score does Llama 3.3 Groq Chat get on LiveCodeBench?
Llama 3.3 Groq Chat scores 71.3 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.
How does Llama 3.3 Groq Chat rank on LiveCodeBench?
It ranks #163 of 600 models, in the 73rd percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.
Is Llama 3.3 Groq Chat good at LiveCodeBench?
Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.
How is the LiveCodeBench score calculated?
LiveCodeBench is a coding 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 Chat cost?
Llama 3.3 Groq Chat costs $4.06 per million input tokens and $19.98 per million output tokens.