NVIDIA: Nemotron 3 Super vs NVIDIA: Llama 3.3 Nemotron Super 49B V1.5
Side-by-side comparison. Updated 2026-06-08.
Verdict
Tie — both models score equally.
Both models score equally. Pick based on which strengths align with your workload.
At a Glance
| Attribute | NVIDIA: Nemotron 3 Super | NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 |
|---|---|---|
| Provider | Nvidia | Nvidia |
| Tags | Intelligent Agentic Open Weight Long Context | Agentic Intelligent |
| Context | 1,000,000 tokens | 131,072 tokens |
| Input price | $0.09/1M | $0.40/1M |
| Output price | $0.40/1M | $0.40/1M |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
NVIDIA: Nemotron 3 Super Strengths
- 120B MoE with only 12B active params for high efficiency
- 1M token context window for very long tasks
- Open-weight hybrid Mamba architecture
- Strong multi-agent application performance
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 Strengths
- 49B parameters derived from Llama 3.3 70B with post-training
- Optimized for agentic workflows: RAG, tool calling, code
- 128K context window for complex multi-step tasks
- Competitive pricing at $0.40/$0.40 per 1M tokens
- Strong across math, code, science, and instruction following