Nano Banana 3 Pro vs Visual Jev (Qwen3-VL 8B Backbone)
A direct, empirical evaluation of Nano Banana 3 Pro (Google DeepMind) against Visual Jev (Qwen3-VL 8B Backbone) (Independent AI Systems Lab (Guanxu Yu & Yuhang Yao)).
Nano Banana 3 Pro
Developed by Google DeepMind · 2.8 Billion Parameters parameters
Zero-latency mobile on-device reasoning, 82ms TTFT, offline audio-visual tool execution, and local Android system integration.
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 | Nano Banana 3 Pro | Visual Jev (Qwen3-VL 8B Backbone) |
|---|---|---|
| SWE-bench Verified | 58.6% | 62.1% |
| MMLU-Pro | 74.2% | 86.4% |
| MATH-500 | 82.5% | 89.2% |
| Context Window | 131,072 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 |