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What is Qwen3.6-35B-A3B?

Qwen3.5-35B-A3B is part of the Qwen3.5 "Medium" model lineup, designed as an efficient multimodal foundation model that effectively balances strong reasoning skills with real-world application demands. It features a Mixture-of-Experts (MoE) architecture, comprising 35 billion parameters but activating approximately 3 billion for each token, which allows it to deliver performance comparable to much larger models while significantly reducing computational costs. The model incorporates a hybrid attention mechanism that fuses linear attention with conventional attention layers, enhancing its capability to manage extensive context and improving scalability for complex tasks. As a vision-language model, it adeptly processes both text and visual inputs, catering to a wide range of applications such as multimodal reasoning, programming, and automated workflows. Additionally, it is designed to function as a flexible "AI agent," skilled in planning, tool utilization, and systematic problem-solving, thereby expanding its utility beyond simple conversational exchanges. This versatility not only enhances its performance in various tasks but also makes it an invaluable resource in fields that increasingly rely on sophisticated AI-driven solutions. Its adaptability and efficiency position it as a key player in the evolving landscape of artificial intelligence applications.

What is Nemotron 3 Super?

The Nemotron-3 Super stands out as a groundbreaking addition to NVIDIA's Nemotron 3 series of open models, designed specifically to support advanced agentic AI systems capable of reasoning, planning, and executing complex multi-step workflows in challenging settings. It incorporates a distinctive hybrid Mamba-Transformer Mixture-of-Experts architecture that combines the streamlined capabilities of Mamba layers with the contextual richness offered by transformer attention mechanisms, enabling it to effectively handle long sequences and complicated reasoning tasks with notable precision and efficiency. By activating only a selected subset of its parameters for each token, this design greatly improves computational efficiency while ensuring strong reasoning skills, making it particularly suitable for scalable inference in demanding situations. With an impressive configuration of around 120 billion parameters, of which approximately 12 billion are engaged during inference, the Nemotron-3 Super significantly enhances its capacity for managing multi-step reasoning and facilitating collaborative interactions among agents in broad contexts. This combination of features not only empowers it to address a wide array of challenges in the AI landscape but also positions it as a key player in the evolution of intelligent systems. Overall, the model exemplifies the potential for future innovations in AI technology.

Media

Media

Integrations Supported

Hugging Face
ModelScope
Nemotron 3
Ollama
OpenClaw
Perplexity Computer
Perplexity Pro
Qwen
Qwen Studio
Together AI

Integrations Supported

Hugging Face
ModelScope
Nemotron 3
Ollama
OpenClaw
Perplexity Computer
Perplexity Pro
Qwen
Qwen Studio
Together AI

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai/blog

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

nvidia.com

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