ConvAI Laya vs Nano Banana 3 Pro
A direct, empirical evaluation of ConvAI Laya (ConvAI Innovations (Vishal Mysore / visrow)) against Nano Banana 3 Pro (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.
Nano Banana 3 Pro
Developed by Google DeepMind · 2.8 Billion Parameters parameters
Zero-latency mobile on-device reasoning, 82ms TTFT, offline audio-visual tool execution, and local Android system integration.
| Metric | ConvAI Laya | Nano Banana 3 Pro |
|---|---|---|
| SWE-bench Verified | 64.2% | 58.6% |
| MMLU-Pro | 82.4% | 74.2% |
| MATH-500 | 88.5% | 82.5% |
| Context Window | 8,192 tokens | 131,072 tokens |
| Input Pricing (per 1M) | $0.00 | $0.00 |
| Output Pricing (per 1M) | $0.00 | $0.00 |