Nemotron 3 Super vs Nemotron 3 Ultra
A side-by-side comparison of two llm models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.
Nemotron 3 Super vs Nemotron 3 Ultra: side by side
| Spec | Nemotron 3 Super | Nemotron 3 Ultra | Winner |
|---|---|---|---|
| Intelligence | — | — | Tie |
| Output speed | — | — | Tie |
| Output price | $0.45/1M | $2.50/1M | Nemotron 3 Super |
| Context | 1000K | 1000K | Tie |
| Params | — | — | Tie |
| Type | Proprietary | Proprietary | Tie |
| Provider | NVIDIA | NVIDIA | Tie |
Nemotron 3 Super
Pros
- +Handles up to 1M token contexts
- +NVIDIA-optimized inference efficiency
- +Strong performance on technical domains
- +Suitable for enterprise-scale text tasks
Cons
- –Text-only modality
- –No native multimodal support
- –Large context increases compute cost
Nemotron 3 Ultra
Pros
- +Handles 1M-token contexts effectively
- +Strong reasoning on extended inputs
- +Optimized for NVIDIA hardware deployment
- +Suitable for enterprise workflows
Cons
- –Text-only modality
- –High compute needed for maximum context
- –Subject to typical LLM hallucinations
Frequently asked questions
It depends on your needs. Nemotron 3 Super and Nemotron 3 Ultra are both llm models; the comparison table above shows where each one leads on the metrics that matter. See the verdict for a recommendation.