Compact vision-language MoE model from Baidu — 28B total, 3B active.
NVIDIA's open multimodal mixture-of-experts model, with 12B active parameters out of 120B total.
No shared demos for these models yet.
No captured outputs for these models yet.
This model hasn't been benchmarked yet.
Both ERNIE 4.5 VL 28B and Nemotron 3.5 Super VL are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.
Nemotron 3.5 Super VL has a larger context window: ERNIE 4.5 VL 28B supports 30K tokens vs Nemotron 3.5 Super VL at 262K tokens.
Yes, both ERNIE 4.5 VL 28B and Nemotron 3.5 Super VL support vision/image input.
Key differences: only Nemotron 3.5 Super VL offers extended reasoning mode. Compare full specs on this page.
If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both ERNIE 4.5 VL 28B and Nemotron 3.5 Super VL for free on idapt.app to see which performs better for your specific needs.