Mid-size dense Qwen3 model balancing capability and efficiency.
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 14B 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.
Qwen3 14B has a lower blended cost. Qwen3 14B: $0.12 input / $0.24 output. Nemotron 3.5 Super VL: $0.10 input / $0.40 output.
Nemotron 3.5 Super VL has a larger context window: Qwen3 14B supports 41K tokens vs Nemotron 3.5 Super VL at 262K tokens.
Nemotron 3.5 Super VL supports vision/image input, but Qwen3 14B does not.
Key differences: only Nemotron 3.5 Super VL supports vision input. 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 14B and Nemotron 3.5 Super VL for free on idapt.app to see which performs better for your specific needs.