Comparison
Llama 3.3 70B Instruct vs Mistral Small 3
Side-by-side specs, benchmarks and hosted-inference pricing.
Meta's December 2024 refresh of Llama 3 70B that closes most of the gap with Llama 3.1 405B for chat workloads while remaining tractable on a single H100. Strong instruction following, robust tool-use behaviour, and a 128K context window make it the default choice for production chat at 70B scale. The 3.3 release was trained on a refreshed instruction-tuning data mix and benefits from Meta's most recent alignment work. It outperforms the much larger 3.1 405B on several reasoning benchmarks at a fraction of inference cost. The licence is the Llama 3 Community License, which permits commercial use unless your service exceeds 700M monthly active users. Good pick for: production chat at scale, RAG over long documents, agentic workflows where tool use matters, and any 70B-tier replacement for closed proprietary models.
24B dense model from Mistral's January 2025 release that competes with Llama 3.3 70B on many tasks at a third of the parameter count. Apache 2.0 licensed and small enough to run on a single 4090 at Q4. Good pick when you want Llama-3.3-70B-class chat quality but at a friendlier hardware budget, or when the licence matters and Llama's community terms don't fit.
Specs
| Parameters | 70B | 24B |
| Context length | 128K | 33K |
| Modality | text | text |
| Released | 2024-12-06 | 2025-01-30 |
| License | Llama 3 Community License | Apache 2.0 |
| Commercial use | Yes | Yes |
| VRAM fp16 | 140 GB | 48 GB |
| VRAM Q4 | 42 GB | 14.4 GB |
Benchmarks
| HumanEval | 88.4 | 84.8 |
| MATH | 77.0 | 70.6 |
| MMLU | 86.0 | 81.0 |
| MMLU-Pro | 68.9 | — |