Nemotron Nano 9B V2

NVIDIA chatreasoningtool_use

API ID: nvidia/nemotron-nano-9b-v2

Input Price
$0.04
/1M tokens
Output Price
$0.16
/1M tokens

About 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.

๐Ÿ’ฐ
Price Ranking
#641 lowest price among 1240 Chat models

Model Specifications

Context Length
131k
Max Output
โ€”
Release Date
2025-09-05
Capabilities
chat reasoning tool_use
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.07
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$2.04
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$2.82
/month
500 analyses/day, ~2k tokens each

NVIDIA Model Lineup

Compare all models from NVIDIA to find the best fit

Model Input Output Context Capabilities
Nemotron Nano 9B V2 Current Free Free 131k chat reasoning tool_use
Nemotron-4 340B Instruct Free Free 4k chat
Nemotron-4 340B Instruct Free Free 4k chat
Llama 3.1 Nemotron Nano 8B v1 Free Free 131k chat
Llama 3.1 Nemotron Nano 8B v1 Free Free 131k chat
Llama 3.3 Nemotron Super 49B v1 Free Free 131k chat

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๐Ÿš€ Quick Start

Get started with Nemotron Nano 9B V2 API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="nvidia/nemotron-nano-9b-v2",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)