Llama 3.3 Groq Base: pricing, context window and benchmarks
Llama 3.3 Groq Base is a open-weight model from Groq. It offers a 16,384-token context window, costs $3.24 per million input tokens and $12.28 per million output tokens, and averages 73.5 across the index's benchmark suite.
Pricing
Llama 3.3 Groq Base costs $3.24 per million input tokens and $12.28 per million output tokens. A blended 3:1 input-to-output mix works out to about $5.50 per million tokens. Cached input is listed at $0.44 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $3.24 | per 1M tokens |
| Output | $12.28 | per 1M tokens |
| Cached input | $0.44 | per 1M tokens |
| Blended 3:1 | $5.50 | estimate per 1M tokens |
| 1M in + 1M out | $15.52 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 75.3 | 324 | 46th | |
| GPQA Diamond | 65.6 | 351 | 42th | |
| SWE-bench Verified | 61.0 | 298 | 50th | |
| HumanEval | 79.3 | 257 | 57th | |
| MATH-500 | 77.3 | 271 | 55th | |
| AIME 2025 | 71.0 | 235 | 61th | |
| LiveCodeBench | 66.8 | 257 | 57th | |
| IFEval | 81.0 | 310 | 48th | |
| TruthfulQA | 75.9 | 310 | 48th | |
| HellaSwag | 85.2 | 235 | 61th | |
| MMMU | 69.8 | 311 | 48th | |
| Arena Elo | 1375.9 | 288 | 52th |
What Llama 3.3 Groq Base is good for
Llama 3.3 Groq Base is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.24 per million input tokens (hosted list price) and a 16,384-token context window, it is a practical option for teams that want more control than a closed API allows.
Strengths
- Input price of $3.24 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
- Accepts more than text, including image input where the provider supports it.
Trade-offs
- Context window of 16,384 tokens is small for long-document work.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Gemma 3 | Google DeepMind | 65536 | $3.68 | 73.6 |
| GPT-5.2 Nano | OpenAI | 128000 | $9.73 | 73.5 |
| Llama 3.3 Groq Base | Groq | 16384 | $3.24 | 73.5 |
| Yi-Large | 01.AI | 32768 | $3.40 | 73.5 |
| Yi-Large Chat | 01.AI | 65536 | $3.49 | 73.5 |
| Nova Lite | Amazon | 65536 | $9.20 | 73.4 |
FAQ
How much does Llama 3.3 Groq Base cost?
Llama 3.3 Groq Base is listed at $3.24 per million input tokens and $12.28 per million output tokens. Cached input is $0.44 per million tokens. A blended 3:1 input-to-output mix is about $5.50 per million tokens.
What is the context window of Llama 3.3 Groq Base?
Llama 3.3 Groq Base has a context window of 16,384 tokens and can emit up to 16,384 output tokens per request in this index.
Is Llama 3.3 Groq Base open weights?
Yes. Llama 3.3 Groq Base is listed as an open-weight model under a open weights licence.
How does Llama 3.3 Groq Base score on benchmarks?
Llama 3.3 Groq Base averages 73.5 across the scored benchmarks in this index, ranking #286 of 600 models. Its strongest relative result is Arena Elo at 1375.9.
What is Llama 3.3 Groq Base best for?
Llama 3.3 Groq Base is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.24 per million input tokens (hosted list price) and a 16,384-token context window, it is a practical option for teams that want more control than a closed API allows.