Gemini 4 Pro (Projected) vs Xiaomi MiMo-V2.6 Flash
A direct, empirical evaluation of Gemini 4 Pro (Projected) (Google DeepMind) against Xiaomi MiMo-V2.6 Flash (Xiaomi AI Lab).
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 Flash
Developed by Xiaomi AI Lab · 185 Billion (Sparse MoE) parameters
Low-latency agent loops, high-volume classification, and developer code completion.
| Metric | Gemini 4 Pro (Projected) | Xiaomi MiMo-V2.6 Flash |
|---|---|---|
| SWE-bench Verified | 75.8% | 64.2% |
| MMLU-Pro | 92.4% | 82.4% |
| MATH-500 | 97.2% | 89.5% |
| Context Window | 2,000,000 - 10,000,000 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $1.50 | $0.04 |
| Output Pricing (per 1M) | $7.50 | $0.08 |