GPT-6 Astra vs Visual Jev (Qwen3-VL 8B Backbone)
A direct, empirical evaluation of GPT-6 Astra (OpenAI) against Visual Jev (Qwen3-VL 8B Backbone) (Independent AI Systems Lab (Guanxu Yu & Yuhang Yao)).
GPT-6 Astra
Developed by OpenAI · Proprietary Frontier parameters
Complex multi-step engineering, formal math proofs, autonomous computer/browser navigation, and CAD synthesis.
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 | GPT-6 Astra | Visual Jev (Qwen3-VL 8B Backbone) |
|---|---|---|
| SWE-bench Verified | 79.4% | 62.1% |
| MMLU-Pro | 91.2% | 86.4% |
| MATH-500 | 98.6% | 89.2% |
| Context Window | 1,050,000 tokens | 32,768 tokens (Visual prefix + batched question suffixes) |
| Input Pricing (per 1M) | $10.00 | $0.05 |
| Output Pricing (per 1M) | $50.00 | $0.10 |