ConvAI Laya vs Llama 3.3 70B
A direct, empirical evaluation of ConvAI Laya (ConvAI Innovations (Vishal Mysore / visrow)) against Llama 3.3 70B (Meta AI).
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.
Llama 3.3 70B
Developed by Meta AI · 70.6B parameters
Self-hosted on-premise deployments and edge dense inference.
| Metric | ConvAI Laya | Llama 3.3 70B |
|---|---|---|
| SWE-bench Verified | 64.2% | 38.8% |
| MMLU-Pro | 82.4% | 68.3% |
| MATH-500 | 88.5% | 75.8% |
| Context Window | 8,192 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $0.00 | $0.15 |
| Output Pricing (per 1M) | $0.00 | $0.60 |