Meta's efficient multimodal MoE model with 16 experts.
NVIDIA's open frontier reasoning model for orchestration, coding, and deep research.
No shared agent demos for these models yet.
No captured outputs for these models yet.
This model hasn't been benchmarked yet.
This model hasn't been benchmarked yet.
Both Llama 4 Scout 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.
Llama 4 Scout has a lower blended cost. Llama 4 Scout: $0.10 input / $0.30 output. Nemotron 3 Ultra: $0.60 input / $3.60 output.
Nemotron 3 Ultra has a larger context window: Llama 4 Scout supports 328K tokens vs Nemotron 3 Ultra at 512K tokens.
Llama 4 Scout supports vision/image input, but Nemotron 3 Ultra does not.
Key differences: Llama 4 Scout is significantly cheaper; only Llama 4 Scout 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 Llama 4 Scout and Nemotron 3 Ultra for free on idapt.app to see which performs better for your specific needs.