ConvAI Laya vs GLM-5-3 (Flagship)
A direct, empirical evaluation of ConvAI Laya (ConvAI Innovations (Vishal Mysore / visrow)) against GLM-5-3 (Flagship) (Zhipu AI & THUDM).
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.
GLM-5-3 (Flagship)
Developed by Zhipu AI & THUDM · 744B parameters
Complex algorithmic reasoning, multi-step code synthesis, and long-horizon tool execution.
| Metric | ConvAI Laya | GLM-5-3 (Flagship) |
|---|---|---|
| SWE-bench Verified | 64.2% | 54.8% |
| MMLU-Pro | 82.4% | 78.4% |
| MATH-500 | 88.5% | 93.6% |
| Context Window | 8,192 tokens | 256,000 tokens |
| Input Pricing (per 1M) | $0.00 | $0.55 |
| Output Pricing (per 1M) | $0.00 | $2.19 |