Xiaomi MiMo-V2.6 Pro vs MiniMax M3.1-Flash-Preview
A direct, empirical evaluation of Xiaomi MiMo-V2.6 Pro (Xiaomi AI Lab (Fuli Luo)) against MiniMax M3.1-Flash-Preview (MiniMax).
Xiaomi MiMo-V2.6 Pro
Developed by Xiaomi AI Lab (Fuli Luo) · 1.02 Trillion (Sparse MoE) parameters
High-accuracy autonomous coding (71.9% DeepSWE), cybersecurity defense (94.0% CyberGym), multimodal document reasoning, and cost-effective agentic workflows.
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 | Xiaomi MiMo-V2.6 Pro | MiniMax M3.1-Flash-Preview |
|---|---|---|
| SWE-bench Verified | 71.9% | 73.8% |
| MMLU-Pro | 89.2% | 81.2% |
| MATH-500 | 93.8% | 92.4% |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Input Pricing (per 1M) | $0.10 | $0.10 |
| Output Pricing (per 1M) | $0.20 | $0.40 |