ConvAI Laya vs GPT-Image-2.5 (Sunburst)
A direct, empirical evaluation of ConvAI Laya (ConvAI Innovations (Vishal Mysore / visrow)) against GPT-Image-2.5 (Sunburst) (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-Image-2.5 (Sunburst)
Developed by OpenAI · Proprietary Multimodal DiT parameters
High-fidelity typographic rendering, raytracing reflection accuracy, sketch-to-image conditioning, and localized comment inpainting.
| Metric | ConvAI Laya | GPT-Image-2.5 (Sunburst) |
|---|---|---|
| SWE-bench Verified | 64.2% | 62.4% |
| MMLU-Pro | 82.4% | 89.5% |
| MATH-500 | 88.5% | 91.2% |
| Context Window | 8,192 tokens | Spatial Vector Token Canvas (1792×1024) |
| Input Pricing (per 1M) | $0.00 | $2.50 |
| Output Pricing (per 1M) | $0.00 | $10.00 |