by NVIDIA
NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be controlled via a system prompt. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so.
| Signal | Strength | Weight | Impact |
|---|---|---|---|
| Recency2026-03-03T20:28:12.827Z | 100 | 15% | +15.0 |
| Capabilities2026-03-03T20:28:12.827Z | 57 | 25% | +14.3 |
| Context Window2026-03-03T20:28:12.827Z | 81 | 15% | +12.2 |
| Versatility2026-03-03T20:28:12.827Z | 33 | 10% | +3.3 |
| Output Capacity2026-03-03T20:28:12.827Z | 20 | 10% | +2.0 |
| Pricing Tier2026-03-03T20:28:12.827Z | 0 | 25% | +0.0 |
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