DeepSeek V4.1 Flash vs Xiaomi MiMo-V2.6 Pro
A direct, empirical evaluation of DeepSeek V4.1 Flash (DeepSeek-AI) against Xiaomi MiMo-V2.6 Pro (Xiaomi AI Lab (Fuli Luo)).
DeepSeek V4.1 Flash
Developed by DeepSeek-AI · 552B parameters
High-throughput software engineering, autonomous coding loops, terminal agents, 1M long-context retrieval, and low-cost production inference.
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.
| Metric | DeepSeek V4.1 Flash | Xiaomi MiMo-V2.6 Pro |
|---|---|---|
| SWE-bench Verified | 67.2% | 71.9% |
| MMLU-Pro | 78.4% | 89.2% |
| MATH-500 | 92.6% | 93.8% |
| Context Window | 1,000,000 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $0.06 | $0.10 |
| Output Pricing (per 1M) | $0.22 | $0.20 |