NVIDIA's efficient 30B MoE Nemotron model with 3B active parameters.
Google's fourth-generation open dense model with native multimodal understanding.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Nemotron Nano 30B and Gemma 4 31B 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. Gemma 4 31B: $0.20 input / $0.40 output.
Nemotron Nano 30B has a larger context window: Nemotron Nano 30B supports 262K tokens vs Gemma 4 31B at 262K tokens.
Gemma 4 31B supports vision/image input, but Nemotron Nano 30B does not.
Key differences: Nemotron Nano 30B is significantly cheaper; only Gemma 4 31B 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 Gemma 4 31B for free on idapt.app to see which performs better for your specific needs.