Nvidiatext->text

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.

Context Window

131K

Input Price

$0.0400/M tokens

Output Price

$0.1600/M tokens

Modality

text->text

Pricing Breakdown

Cost per million tokens for input and output

Input$0.0400/M tokens

Output$0.1600/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.000560

Context Window Size

Maximum tokens the model can process in a single request

Context Window131K tokens

13% of 1M max

~98K

Words Equivalent

~66

Pages of Text

~1311

Code Functions

Best Use Cases

What this model excels at

MathReasoningAnalysis

Related Categories:

Data Analysis

Test NVIDIA: Nemotron Nano 9B V2 Now

Compare this model with others using your own prompts

Ready to Test NVIDIA: Nemotron Nano 9B V2?

Use our free AI Models Tester to compare NVIDIA: Nemotron Nano 9B V2 with other models side-by-side using your own prompts. See real results instantly.