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What is Qwen3?

Qwen3, the latest large language model from the Qwen family, introduces a new level of flexibility and power for developers and researchers. With models ranging from the high-performance Qwen3-235B-A22B to the smaller Qwen3-4B, Qwen3 is engineered to excel across a variety of tasks, including coding, math, and natural language processing. The unique hybrid thinking modes allow users to switch between deep reasoning for complex tasks and fast, efficient responses for simpler ones. Additionally, Qwen3 supports 119 languages, making it ideal for global applications. The model has been trained on an unprecedented 36 trillion tokens and leverages cutting-edge reinforcement learning techniques to continually improve its capabilities. Available on multiple platforms, including Hugging Face and ModelScope, Qwen3 is an essential tool for those seeking advanced AI-powered solutions for their projects.

What is Nemotron 3 Nano?

The Nemotron 3 Nano distinguishes itself as the smallest model in NVIDIA's Nemotron 3 series, tailored specifically for agentic AI applications that necessitate strong reasoning and conversational capabilities while ensuring economical inference costs. This innovative hybrid Mamba-Transformer Mixture-of-Experts model is equipped with 3.2 billion active parameters and expands to 3.6 billion when accounting for embeddings, culminating in an impressive total of 31.6 billion parameters. NVIDIA claims that this model achieves superior accuracy compared to its predecessor, the Nemotron 2 Nano, while also operating with less than half of the parameters during each forward pass, thereby boosting efficiency without sacrificing performance. Additionally, it reportedly outperforms both GPT-OSS-20B and Qwen3-30B-A3B-Thinking-2507 across a range of commonly used benchmarks. With an input capacity of 8K and an output limit of 16K utilizing a single H200, the model realizes an inference throughput that is 3.3 times higher than that of Qwen3-30B-A3B and 2.2 times that of GPT-OSS-20B. Furthermore, the Nemotron 3 Nano can manage context lengths of up to 1 million tokens, reinforcing its dominance over GPT-OSS-20B and Qwen3-30B-A3B-Instruct-2507. This extraordinary amalgamation of capabilities not only enhances its precision and efficiency but also positions the Nemotron 3 Nano as a premier option for cutting-edge AI endeavors that require top-tier performance. As the demand for advanced AI solutions grows, the relevance of such models will likely continue to expand.

Media

Media

Integrations Supported

AiAssistWorks
Alibaba Cloud
Baseten
Fireworks AI
HTML
Holo2
Hugging Face
Hyperbolic
Julia
LM-Kit.NET
Lorka
Mirai
Oxlo.ai
Phala
Ruby
Runpod
SSSModel
Simtheory
kluster.ai

Integrations Supported

Nemotron 3

API Availability

API Availability

Pricing Information

Free
Open source
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwenlm.github.io/blog/qwen3/

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

nvidia.com

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

Categories and Features

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Open-Weight AI Models

Not specified

Small Language Models

Not specified

Popular Alternatives

Popular Alternatives

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