TypeSafe AI Jev vs Visual Jev (Qwen3-VL 8B Backbone)
A direct, empirical evaluation of TypeSafe AI Jev (TypeSafe AI (Diogo Almeida)) against Visual Jev (Qwen3-VL 8B Backbone) (Independent AI Systems Lab (Guanxu Yu & Yuhang Yao)).
TypeSafe AI Jev
Developed by TypeSafe AI (Diogo Almeida) · Non-Autoregressive System 1 Transformer parameters
Sub-15ms operational tasks, 100% schema-valid JSON extraction, deterministic tool dispatch, and high-throughput agent routing.
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 | TypeSafe AI Jev | Visual Jev (Qwen3-VL 8B Backbone) |
|---|---|---|
| SWE-bench Verified | 68.4% | 62.1% |
| MMLU-Pro | 84.6% | 86.4% |
| MATH-500 | 91.2% | 89.2% |
| Context Window | 32,000 tokens | 32,768 tokens (Visual prefix + batched question suffixes) |
| Input Pricing (per 1M) | $0.06 | $0.05 |
| Output Pricing (per 1M) | $0.12 | $0.10 |