Qwen's largest MoE model with 397B total parameters, 17B 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.
Both Qwen3.5 397B A17B 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 lower blended cost. Qwen3.5 397B A17B: $0.50 input / $3.60 output. Nemotron 3.5 Super VL: $0.10 input / $0.40 output.
Qwen3.5 397B A17B has a larger context window: Qwen3.5 397B A17B supports 262K tokens vs Nemotron 3.5 Super VL at 262K tokens.
Yes, both Qwen3.5 397B A17B and Nemotron 3.5 Super VL support vision/image input.
Key differences: Nemotron 3.5 Super VL is significantly cheaper. 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 Qwen3.5 397B A17B and Nemotron 3.5 Super VL for free on idapt.app to see which performs better for your specific needs.