NVIDIA's mid-size Nemotron model based on Llama 3.3 at 49B scale.
Google's high-efficiency model for focused subagent work and multi-agent workflows.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Nemotron Super 49B and Gemini 3.5 Flash-Lite 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 Super 49B has a lower blended cost. Nemotron Super 49B: $0.40 input / $0.40 output. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output.
Gemini 3.5 Flash-Lite has a larger context window: Nemotron Super 49B supports 131K tokens vs Gemini 3.5 Flash-Lite at 1M tokens.
Gemini 3.5 Flash-Lite supports vision/image input, but Nemotron Super 49B does not.
Key differences: only Gemini 3.5 Flash-Lite 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 Super 49B and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.