AI Tools Review

NVIDIA: Nemotron Nano 9B V2

By Nvidia

Released: 2025-09-05

API
LLM
RAG
Nvidia
Paid
New

Nvidia Nemotron Nano 9B V2, developed by NVIDIA, features 9B parameters and 131k-token context window. 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. Priced affordably at $0.04/1M tokens.

Visit NVIDIA: Nemotron Nano 9B V2

AI-Powered

Leverages advanced AI technology to deliver cutting-edge capabilities and results.

Fast & Efficient

Optimized performance ensures quick results without compromising on quality.

Purpose-Built

Specifically designed for llms tasks and workflows.

Nvidia Model Timeline

NVIDIA: Nemotron 3 Nano 30B A3B (free)

256k tokens context

NVIDIA: Nemotron 3 Nano 30B A3B

262k tokens context

NVIDIA: Nemotron Nano 12B 2 VL (free)

128k tokens context

NVIDIA: Nemotron Nano 12B 2 VL

131k tokens context

NVIDIA: Llama 3.3 Nemotron Super 49B V1.5

131k tokens context

NVIDIA: Nemotron Nano 9B V2 (free)

128k tokens context

NVIDIA: Nemotron Nano 9B V2Current

131k tokens context

NVIDIA: Llama 3.1 Nemotron Ultra 253B v1

131k tokens context

NVIDIA: Llama 3.1 Nemotron 70B Instruct

131k tokens context

Specifications

pricing$0.04 / $0.16 (per 1M)
context Window131k tokens

AI Evaluation

4.8
Expert Rating
Text4.9/5
Coding3.5/5

Compact but capable, this reasoning-focused model handles complex logical tasks efficiently. A good balance of analytical power and resource efficiency.

Pros

  • Budget-friendly at $0.04/1M tokens
  • 131k token context window
  • Lightweight and efficient
  • Advanced logical reasoning

Cons

  • Limited depth on complex topics
  • API integration required