Google's open multimodal model with 128K context and 140+ language support.
NVIDIA's open frontier reasoning model for orchestration, coding, and deep research.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Gemma 3 27B and Nemotron 3 Ultra 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.
Gemma 3 27B has a lower blended cost. Gemma 3 27B: $0.08 input / $0.45 output. Nemotron 3 Ultra: $0.60 input / $2.40 output.
Nemotron 3 Ultra has a larger context window: Gemma 3 27B supports 131K tokens vs Nemotron 3 Ultra at 203K tokens.
Gemma 3 27B supports vision/image input, but Nemotron 3 Ultra does not.
Key differences: Gemma 3 27B is significantly cheaper; only Gemma 3 27B supports vision input; only Nemotron 3 Ultra offers extended reasoning mode. 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 Gemma 3 27B and Nemotron 3 Ultra for free on idapt.app to see which performs better for your specific needs.