Union Alpha (Stealth) vs Visual Jev (Qwen3-VL 8B Backbone)
A direct, empirical evaluation of Union Alpha (Stealth) (OpenRouter & OpenCode) against Visual Jev (Qwen3-VL 8B Backbone) (Independent AI Systems Lab (Guanxu Yu & Yuhang Yao)).
Union Alpha (Stealth)
Developed by OpenRouter & OpenCode · Multi-Model Ensemble Mixture parameters
Terminal coding agents, pull-request synthesis, multi-model consensus verification, and zero-cost autonomous refactoring.
Visual Jev (Qwen3-VL 8B Backbone)
Developed by Independent AI Systems Lab (Guanxu Yu & Yuhang Yao) · 8.2 Billion Vision-Language Parameters parameters
Sub-20ms multi-query image verification, automated rejection sampling in generative diffusion pipelines (FLUX / SD3), robotics perception routing, and high-frequency visual software inspection.
| Metric | Union Alpha (Stealth) | Visual Jev (Qwen3-VL 8B Backbone) |
|---|---|---|
| SWE-bench Verified | 74.2% | 62.1% |
| MMLU-Pro | 89.8% | 86.4% |
| MATH-500 | 95.4% | 89.2% |
| Context Window | 256,000 tokens | 32,768 tokens (Visual prefix + batched question suffixes) |
| Input Pricing (per 1M) | $0.00 | $0.05 |
| Output Pricing (per 1M) | $0.00 | $0.10 |