NVIDIA: Nemotron Nano 9B V2 (free)
The free tier of NVIDIA's Nemotron Nano 9B V2 has no benchmark data of its own and must be scored conservatively — the standard paid version provides verified metrics, and businesses should refer to that for a clearer picture of capability.
Assessment date: March 14, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
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.
Capabilities
Architecture
| Modality | Text → Text |
| Tokenizer | Other |
| Parameters | 9B |
Model Information
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
