Llama 3.3 70B vs MiniMax M3.1-Flash-Preview
A direct, empirical evaluation of Llama 3.3 70B (Meta AI) against MiniMax M3.1-Flash-Preview (MiniMax).
Llama 3.3 70B
Developed by Meta AI · 70.6B parameters
Self-hosted on-premise deployments and edge dense inference.
MiniMax M3.1-Flash-Preview
Developed by MiniMax · Proprietary Sparse Coding MoE parameters
Low-latency interactive IDE code completions at 165 tokens/sec, SWE-bench Verified bug fixes (73.8%), terminal automation, and budget-optimized pull request reviews.
| Metric | Llama 3.3 70B | MiniMax M3.1-Flash-Preview |
|---|---|---|
| SWE-bench Verified | 38.8% | 73.8% |
| MMLU-Pro | 68.3% | 81.2% |
| MATH-500 | 75.8% | 92.4% |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Input Pricing (per 1M) | $0.15 | $0.10 |
| Output Pricing (per 1M) | $0.60 | $0.40 |