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What is Qwen3.5-Plus?

Qwen3.5-Plus is a next-generation multimodal large language model built for scalable, enterprise-grade reasoning and agentic applications. It combines linear attention mechanisms with a sparse mixture-of-experts architecture to maximize inference efficiency while maintaining performance comparable to leading frontier models. The system supports text, image, and video inputs, generating high-quality text outputs suited for analysis, synthesis, and tool-augmented workflows. With a 1 million token context window and support for up to 64K output tokens, Qwen3.5-Plus enables deep, long-form reasoning across extensive documents and datasets. Its optional deep thinking mode allows for expanded chain-of-thought reasoning up to 80K tokens, making it ideal for complex analytical and multi-step problem-solving tasks. Developers can integrate structured outputs, function calling, prefix continuation, batch processing, and explicit caching to optimize both performance and cost efficiency. Built-in tool support through the Responses API includes web search, web extraction, image search, and code interpretation for dynamic multi-agent systems. High throughput limits and OpenAI-compatible API endpoints make deployment straightforward across global applications. With transparent token-based pricing and enterprise-level monitoring, Qwen3.5-Plus provides a powerful foundation for building intelligent assistants, multimodal analyzers, and scalable AI services.

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

Alibaba AI Coding Plan
Alibaba Cloud Model Studio
OpenClaw
Qwen3
Qwen3.5
Shiori
Surfer H
Tabbit Browser

Integrations Supported

Alibaba AI Coding Plan
Alibaba Cloud Model Studio
OpenClaw
Qwen3
Qwen3.5
Shiori
Surfer H
Tabbit Browser

API Availability

Has API

API Availability

Has API

Pricing Information

$0.4 per 1M tokens
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

Company Facts

Organization Name

H Company

Date Founded

2023

Company Location

France

Company Website

www.hcompany.ai/blog/holo2

Categories and Features

Categories and Features

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