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
Output
Context
131K
Max Output
—
Parameters
9B
Input Modalities
Output Modalities
Input
$0.040
Output
$0.160
| Platform | Input | Output |
|---|---|---|
OpenRouter | $0.040 | $0.160 |
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Data sourced from official provider APIs and documentation
Last updated: Mar 24, 2026
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