ConvAI Laya vs Gemini 4 Pro (Leaked Benchmark)
A direct, empirical evaluation of ConvAI Laya (ConvAI Innovations (Vishal Mysore / visrow)) against Gemini 4 Pro (Leaked Benchmark) (Google DeepMind).
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.
Gemini 4 Pro (Leaked Benchmark)
Developed by Google DeepMind · Proprietary Omni-Modal Unified Diffusion Transformer parameters
Repository-scale 2M-token refactoring (88.7% DeepSWE v1.1), headless shell execution (95.3% Terminal-Bench 2.1), and multimodal desktop agent autonomy (86.8% OSWorld 2.0).
| Metric | ConvAI Laya | Gemini 4 Pro (Leaked Benchmark) |
|---|---|---|
| SWE-bench Verified | 64.2% | 88.7% |
| MMLU-Pro | 82.4% | 93.8% |
| MATH-500 | 88.5% | 97.8% |
| Context Window | 8,192 tokens | 2,000,000 tokens |
| Input Pricing (per 1M) | $0.00 | $2.25 |
| Output Pricing (per 1M) | $0.00 | $11.25 |