NVIDIA
Nemotron Nano 9B V2
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.
- Input / 1M tokens
- $0.040
- Output / 1M tokens
- $0.160
- Context window
- 131K tokens
- Provider
- NVIDIA
- Knowledge cutoff
- 2025-03-31
Performance
Median streaming throughput and first-token latency measured by Artificial Analysis.
- Output tokens / sec
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- Time to first token
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