Qwen 2.5 Max vs Visual Jev (Qwen3-VL 8B Backbone)
A direct, empirical evaluation of Qwen 2.5 Max (Alibaba Cloud) against Visual Jev (Qwen3-VL 8B Backbone) (Independent AI Systems Lab (Guanxu Yu & Yuhang Yao)).
Qwen 2.5 Max
Developed by Alibaba Cloud · Proprietary (~700B) parameters
Cross-lingual document extraction and structured structured output generation.
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 | Qwen 2.5 Max | Visual Jev (Qwen3-VL 8B Backbone) |
|---|---|---|
| SWE-bench Verified | 51.4% | 62.1% |
| MMLU-Pro | 77.2% | 86.4% |
| MATH-500 | 89.4% | 89.2% |
| Context Window | 128,000 tokens | 32,768 tokens (Visual prefix + batched question suffixes) |
| Input Pricing (per 1M) | $1.60 | $0.05 |
| Output Pricing (per 1M) | $6.40 | $0.10 |