DeepSeek-V3 vs Xiaomi MiMo-V2.6 Pro
A direct, empirical evaluation of DeepSeek-V3 (DeepSeek-AI) against Xiaomi MiMo-V2.6 Pro (Xiaomi AI Lab (Fuli Luo)).
DeepSeek-V3
Developed by DeepSeek-AI · 671B parameters
Cost-effective high-throughput general reasoning and bilingual generation.
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-V3 | Xiaomi MiMo-V2.6 Pro |
|---|---|---|
| SWE-bench Verified | 49.2% | 71.9% |
| MMLU-Pro | 75.9% | 89.2% |
| MATH-500 | 90.2% | 93.8% |
| Context Window | 128,000 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $0.14 | $0.10 |
| Output Pricing (per 1M) | $0.28 | $0.20 |