NVIDIA's efficient 30B MoE Nemotron model with 3B active parameters.
DeepSeek's October 2026 checkpoint of the V4.1 Flash workhorse, refreshed for stronger agentic coding with shorter, faster answers.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Nemotron Nano 30B and DeepSeek V4.1 Flash 1017 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 Nano 30B has a lower blended cost. Nemotron Nano 30B: $0.06 input / $0.24 output. DeepSeek V4.1 Flash 1017: $0.15 input / $0.60 output.
DeepSeek V4.1 Flash 1017 has a larger context window: Nemotron Nano 30B supports 262K tokens vs DeepSeek V4.1 Flash 1017 at 1M tokens.
DeepSeek V4.1 Flash 1017 supports vision/image input, but Nemotron Nano 30B does not.
Key differences: Nemotron Nano 30B is significantly cheaper; only DeepSeek V4.1 Flash 1017 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 Nemotron Nano 30B and DeepSeek V4.1 Flash 1017 for free on idapt.app to see which performs better for your specific needs.