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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 Hy3?

The Hy3 preview showcases Tencent Hy's latest and most sophisticated model within the Hy series, boasting an impressive 295 billion parameters arranged in a Mixture-of-Experts framework, with 21 billion parameters activated and a remarkable 3.8 billion allocated to the MTP layer, all while supporting a vast context window of up to 256,000 tokens. This innovative model marks a significant milestone as it utilizes Tencent Hy's newly enhanced infrastructure, which is specifically designed to improve its effectiveness in various practical applications such as complex reasoning, following directives, contextual learning, coding assignments, and overall inference skills. By blending swift and comprehensive cognitive processing, it can provide clear responses for basic questions while also allowing for detailed analysis of complex mathematical, programming, and logical problems. The model is engineered to demonstrate extensive capabilities in comprehending lengthy contexts, following instructions accurately, utilizing tools effectively, and executing agent workflows with precision, with evaluations performed not only against traditional benchmarks but also in realistic business and development scenarios. Additionally, its versatile design allows for effective adaptation across a wide array of situations, significantly expanding its potential for use in numerous applications, thus making it a vital tool in advancing the field.

Media

Media

Integrations Supported

Hugging Face
ModelScope
Ollama
OpenClaw
Qwen
Qwen Studio

Integrations Supported

Hugging Face
ModelScope
Ollama
OpenClaw
Qwen
Qwen Studio

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
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

Tencent

Date Founded

1998

Company Location

China

Company Website

hy.tencent.com/research/hy3-preview

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