Nemotron 3 Benchmark: Super & Nano Results Overview
How to read Nemotron 3 benchmark results and compare Super vs Nano for long-context and throughput.
2026/03/28
This page summarizes how to interpret Nemotron 3 benchmarks and where to find official results. Use it to decide whether Super or Nano fits your workload.
What the benchmarks measure
- Reasoning quality on complex tasks
- Long-context stability up to 1M tokens
- Throughput and latency under real workloads
- Code and tool-use capabilities (when reported)
Official benchmark sources
- NVIDIA Nemotron 3 Research Lab
- NVIDIA Nemotron 3 White Paper (PDF)
- NVIDIA Developer Blog: Nemotron 3 Super
- Nemotron 3 Super on HuggingFace
- Nemotron 3 Nano on HuggingFace
How to compare Super vs Nano
- Long-context: Use real long documents and verify consistency.
- Latency: Measure time-to-first-token and total latency at target batch size.
- Quality: Score outputs with a simple rubric (accuracy, completeness, citations).
- Cost: Compare GPU or API cost for your expected volume.
Quick test checklist
- Use the same prompts for both models.
- Measure tokens/sec and time-to-first-token.
- Track accuracy drift across long contexts.
- Record failure cases to inform deployment choices.