Nemotron 3 Ultra vs GLM 5.2
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 Ultra vs GLM 5.2: side by side
| Spec | Nemotron 3 Ultra | GLM 5.2 | Winner |
|---|---|---|---|
| Intelligence | — | 51.1 | Tie |
| Output speed | — | 121 t/s | Tie |
| Output price | $2.20/1M | $3.00/1M | Nemotron 3 Ultra |
| Context | 1000K | 1049K | GLM 5.2 |
| Params | — | — | Tie |
| Provider | NVIDIA | Z.AI | Tie |
Nemotron 3 Ultra
Pros
- +Handles 1M-token contexts effectively
- +Strong reasoning on extended inputs
- +Optimized for NVIDIA hardware deployment
Cons
- –Text-only modality
- –High compute needed for maximum context
- –Subject to typical LLM hallucinations
GLM 5.2
Pros
- +Supports very large context windows
- +Strong performance on extended document tasks
- +Versatile across general text workloads
Cons
- –Text-only modality
- –No vision or multimodal capabilities
- –Performance details beyond context length remain unverified
Frequently asked questions
It depends on your needs. Nemotron 3 Ultra and GLM 5.2 are both llm models; the comparison table above shows where each one leads on the metrics that matter. See the verdict for a recommendation.