Gemini 4 Pro (Projected) vs Xiaomi MiMo-V2.6 Pro
A direct, empirical evaluation of Gemini 4 Pro (Projected) (Google DeepMind) against Xiaomi MiMo-V2.6 Pro (Xiaomi AI Lab (Fuli Luo)).
Gemini 4 Pro (Projected)
Developed by Google DeepMind · Proprietary Omni-Modal Unified Diffusion Transformer parameters
Repository-scale 10M-token refactoring, automated formal theorem proving, parametric SVG and 3D GLTF asset synthesis, and zero-hallucination execution.
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 | Gemini 4 Pro (Projected) | Xiaomi MiMo-V2.6 Pro |
|---|---|---|
| SWE-bench Verified | 75.8% | 71.9% |
| MMLU-Pro | 92.4% | 89.2% |
| MATH-500 | 97.2% | 93.8% |
| Context Window | 2,000,000 - 10,000,000 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $1.50 | $0.10 |
| Output Pricing (per 1M) | $7.50 | $0.20 |