DeepSeek-R1 vs MiniMax M3.1-Flash-Preview
A direct, empirical evaluation of DeepSeek-R1 (DeepSeek-AI) against MiniMax M3.1-Flash-Preview (MiniMax).
DeepSeek-R1
Developed by DeepSeek-AI · 671B parameters
Olympiad mathematics, logic verification, and autonomous thinking chains.
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 | DeepSeek-R1 | MiniMax M3.1-Flash-Preview |
|---|---|---|
| SWE-bench Verified | 49.2% | 73.8% |
| MMLU-Pro | 84% | 81.2% |
| MATH-500 | 97.3% | 92.4% |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Input Pricing (per 1M) | $0.55 | $0.10 |
| Output Pricing (per 1M) | $2.19 | $0.40 |