Gemini 4 Carbon vs Visual Jev (Qwen3-VL 8B Backbone)
A direct, empirical evaluation of Gemini 4 Carbon (Google DeepMind) against Visual Jev (Qwen3-VL 8B Backbone) (Independent AI Systems Lab (Guanxu Yu & Yuhang Yao)).
Gemini 4 Carbon
Developed by Google DeepMind · Carbon-Aware Frontier Transformer on TPU v6e parameters
Sub-watt green computing, 62% energy reduction per million tokens, carbon-aware datagrid routing, and eco-tier batch execution discounts.
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 | Gemini 4 Carbon | Visual Jev (Qwen3-VL 8B Backbone) |
|---|---|---|
| SWE-bench Verified | 69.2% | 62.1% |
| MMLU-Pro | 84.6% | 86.4% |
| MATH-500 | 91.4% | 89.2% |
| Context Window | 1,000,000 tokens | 32,768 tokens (Visual prefix + batched question suffixes) |
| Input Pricing (per 1M) | $0.80 | $0.05 |
| Output Pricing (per 1M) | $2.40 | $0.10 |