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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 Qwen3-Coder-Next?

Qwen3-Coder-Next is an open-weight language model designed specifically for coding agents and local development, excelling in complex coding reasoning, proficient tool utilization, and effectively managing long-term programming tasks with exceptional efficiency through a mixture-of-experts framework that balances strong capabilities with a resource-conscious design. This model significantly boosts the coding abilities of software developers, AI system designers, and automated coding systems, enabling them to create, troubleshoot, and understand code with a deep contextual insight while skillfully recovering from execution errors, making it particularly suitable for autonomous coding agents and development-focused applications. Additionally, Qwen3-Coder-Next offers remarkable performance comparable to models with larger parameters but operates with a reduced number of active parameters, making it a cost-effective solution for tackling complex and dynamic programming challenges in both research and production environments. Ultimately, this innovative model is designed to enhance the efficiency and effectiveness of the development process, paving the way for more agile and responsive software creation. Its ability to streamline workflows further underscores its potential to transform how programming tasks are approached and executed.

Media

Media

Integrations Supported

OpenClaw
Cheaper Inference
Hugging Face
ModelScope
Ollama
Qwen
Qwen Studio

Integrations Supported

OpenClaw

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Open source
Free Version

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai/blog

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai/blog

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

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