ConvAI Laya vs Xiaomi MiMo-V2.6 Pro
A direct, empirical evaluation of ConvAI Laya (ConvAI Innovations (Vishal Mysore / visrow)) against Xiaomi MiMo-V2.6 Pro (Xiaomi AI Lab (Fuli Luo)).
ConvAI Laya
Developed by ConvAI Innovations (Vishal Mysore / visrow) · 421 Million (ModernBERT-large Backbone) parameters
Client-side in-browser decision execution via WebGPU/WASM, zero-cost operational routing, private on-device medical/financial triage, and domain-specific fine-tuning.
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 | ConvAI Laya | Xiaomi MiMo-V2.6 Pro |
|---|---|---|
| SWE-bench Verified | 64.2% | 71.9% |
| MMLU-Pro | 82.4% | 89.2% |
| MATH-500 | 88.5% | 93.8% |
| Context Window | 8,192 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $0.00 | $0.10 |
| Output Pricing (per 1M) | $0.00 | $0.20 |