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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 Holo2?

The Holo2 model series from H Company strikes an excellent balance between cost-effectiveness and high performance in vision-language models tailored for computer-based agents capable of navigating, localizing interface elements, and operating across web, desktop, and mobile environments. This latest lineup, which features configurations of 4 billion, 8 billion, and 30 billion parameters, builds on the groundwork established by the previous Holo1 and Holo1.5 models, ensuring a solid foundation in user interface interaction while significantly enhancing navigation capabilities. By employing a mixture-of-experts (MoE) architecture, the Holo2 models selectively activate only the parameters essential for specific tasks, thereby optimizing operational efficiency. Trained on meticulously selected datasets centered on localization and agent functionality, these models are set to seamlessly succeed their predecessors. They also support smooth inference in environments that are compatible with Qwen3-VL models and can be effortlessly integrated into agentic workflows, such as Surfer 2. In performance tests, the Holo2-30B-A3B model achieved remarkable benchmarks, scoring 66.1% on the ScreenSpot-Pro evaluation and 76.1% on the OSWorld-G benchmark, firmly positioning itself as a frontrunner in the UI localization field. The technological advancements embedded in the Holo2 models not only enhance their capabilities but also make them an attractive option for developers aiming to boost the performance and efficiency of their applications. As the demand for sophisticated user interface solutions continues to grow, the Holo2 models stand ready to meet the diverse needs of the market.

Media

Media

Integrations Supported

Hugging Face
ModelScope
Ollama
OpenClaw
Qwen
Qwen Chat
Qwen3
Surfer H

Integrations Supported

Hugging Face
ModelScope
Ollama
OpenClaw
Qwen
Qwen Chat
Qwen3
Surfer H

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

H Company

Date Founded

2023

Company Location

France

Company Website

www.hcompany.ai/blog/holo2

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