ConvAI Laya vs DeepSeek V5 (Leaked Staging)
A direct, empirical evaluation of ConvAI Laya (ConvAI Innovations (Vishal Mysore / visrow)) against DeepSeek V5 (Leaked Staging) (DeepSeek 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.
DeepSeek V5 (Leaked Staging)
Developed by DeepSeek AI · 1.8 Trillion (Sparse MoE) parameters
Autonomous coding agents scoring 81.4% on SWE-bench Verified, zero-telemetry self-hosting, sub-cent 1M-token processing, and formal mathematical proofs.
| Metric | ConvAI Laya | DeepSeek V5 (Leaked Staging) |
|---|---|---|
| SWE-bench Verified | 64.2% | 81.4% |
| MMLU-Pro | 82.4% | 87.5% |
| MATH-500 | 88.5% | 96.8% |
| Context Window | 8,192 tokens | 1,000,000 tokens |
| Input Pricing (per 1M) | $0.00 | $0.12 |
| Output Pricing (per 1M) | $0.00 | $0.48 |