ConvAI Laya vs GPT-6 Luna
A direct, empirical evaluation of ConvAI Laya (ConvAI Innovations (Vishal Mysore / visrow)) against GPT-6 Luna (OpenAI).
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.
GPT-6 Luna
Developed by OpenAI · Proprietary High-Throughput Distillation parameters
High-throughput document extraction, sub-second routing, customer service triage, code autocomplete, and cost-optimized reasoning via Luna Pro mode.
| Metric | ConvAI Laya | GPT-6 Luna |
|---|---|---|
| SWE-bench Verified | 64.2% | 48.2% |
| MMLU-Pro | 82.4% | 74.6% |
| MATH-500 | 88.5% | 84.1% |
| Context Window | 8,192 tokens | 1,050,000 tokens |
| Input Pricing (per 1M) | $0.00 | $0.10 |
| Output Pricing (per 1M) | $0.00 | $0.50 |