ConvAI Laya vs Gemini 3.8 Flash-Lite TTS
A direct, empirical evaluation of ConvAI Laya (ConvAI Innovations (Vishal Mysore / visrow)) against Gemini 3.8 Flash-Lite TTS (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 3.8 Flash-Lite TTS
Developed by Google DeepMind · Proprietary Lightweight Acoustic Stream Transformer parameters
High-throughput bulk multilingual video dubbing, automated notification dispatch, real-time voice agents, customer support telephony, and accessibility readers.
| Metric | ConvAI Laya | Gemini 3.8 Flash-Lite TTS |
|---|---|---|
| SWE-bench Verified | 64.2% | 58.4% |
| MMLU-Pro | 82.4% | 82.1% |
| MATH-500 | 88.5% | 85.2% |
| Context Window | 8,192 tokens | 64,000 characters input script |
| Input Pricing (per 1M) | $0.00 | $0.08 |
| Output Pricing (per 1M) | $0.00 | $6.00 |