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NVIDIA: Nemotron Nano 9B V2 (free)

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

128K

Input Price

Free

Output Price

Free

Modality

text->text

Pricing Breakdown

Cost per million tokens for input and output

InputFree

OutputFree

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.000000

Context Window Size

Maximum tokens the model can process in a single request

Context Window128K tokens

13% of 1M max

~96K

Words Equivalent

~64

Pages of Text

~1280

Code Functions

Best Use Cases

What this model excels at

MathReasoningAnalysis

Related Categories:

Data Analysis

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