AI Tools Review

NVIDIA: Nemotron 3 Nano 30B A3B

By Nvidia

Released: 2025-12-14

API
LLM
RAG
Nvidia
Paid
New

Nvidia Nemotron 3 Nano 30B A3B, developed by NVIDIA, features 30B parameters, MoE architecture and 262k-token context window. NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully open with open-weights, datasets and recipes so developers can easily customize, optimise, and deploy the model on their infrastructure for maximum privacy and security. Note: For the free endpoint, all prompts and output are logged to improve the provider's model and its product and services. Please do not upload any personal, confidential, or otherwise sensitive information. This is a trial use only. Do not use for production or business-critical systems. Priced affordably at $0.06/1M tokens.

Visit NVIDIA: Nemotron 3 Nano 30B A3B

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 A3BCurrent

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 V2

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$0.06 / $0.24 (per 1M)
context Window262k tokens

AI Evaluation

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

Designed for autonomous agent workflows with reliable tool use and consistent task execution. Well-suited for automated pipelines and complex multi-step operations.

Pros

  • Budget-friendly at $0.06/1M tokens
  • 262k token context window
  • Agent-ready with tool use
  • Optimized for RAG workflows

Cons

  • API integration required
  • May need prompt tuning