NVIDIA's open multimodal mixture-of-experts model, with 12B active parameters out of 120B total.
MoonshotAI's coding-focused Kimi model for end-to-end software engineering.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Nemotron 3.5 Super VL and Kimi K2.7 Code 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. Nemotron 3.5 Super VL: $0.10 input / $0.40 output. Kimi K2.7 Code: $0.67 input / $3.35 output.
Nemotron 3.5 Super VL has a larger context window: Nemotron 3.5 Super VL supports 262K tokens vs Kimi K2.7 Code at 262K tokens.
Yes, both Nemotron 3.5 Super VL and Kimi K2.7 Code 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 Nemotron 3.5 Super VL and Kimi K2.7 Code for free on idapt.app to see which performs better for your specific needs.