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What is QwenWork?

QwenWork stands out as a multifunctional AI agent platform designed to boost productivity for individuals and organizations alike, leveraging advanced AI models alongside agent-driven capabilities. Building upon the foundational elements of Qoderwork, Mulerun, and Wukong, it merges a variety of desktop, cloud, and enterprise collaboration agents into a unified interface. By integrating autonomous agent features with web development tools and multimodal generation capabilities, QwenWork enables users to effortlessly create high-quality HTML pages, complete with domain and database support, thereby turning ideas into fully functional web applications. Its built-in multimodal tools allow for the creation of images, videos, and audio content, significantly reducing the need to switch between multiple AI solutions. With accessibility through a cloud-based web interface and a desktop client that links directly to local systems, QwenWork is also designed for smooth integration with DingTalk, positioning it as a flexible choice for contemporary workplace requirements. Ultimately, this platform not only streamlines workflows but also fosters improved collaboration among teams, making it an essential tool in today’s digital landscape.

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.

Media

Media

Integrations Supported

DingTalk
Qwen
Qwen 4
Qwen3.8-2.4T-A95B
Qwen3.8-Flash-Next
Qwen3.8-Max
Qwen3.8-Omni-Flash
Step 5 Preview

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.4 per 1M tokens
Input: $0.4 per 1M tokens
Output: $2.4 per 1M tokens

Supported Platforms

SaaS
Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai

Categories and Features

AI Agents

Not specified

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

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