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Qwen Studio is an AI assistant for everyone, powered by the Qwen series models. It’s free to use, open to all, and ready to help with creativity, collaboration, and endless possibilities.

Qwen API, which uses an API format compatible with the OpenAI API.

Use Qwen on your phone or desktop.

Product Features

Explore Qwen Studio

Image Generation

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Qwen VLo empowers your creative projects by transforming ideas into stunning visuals — now with deeper understanding and precise control.Modify images, transfer styles, generate from scratch, or combine multiple elements — all with a unified model that understands and creates.

2025/03/28

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Deep Research

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Deep Research is an intelligent agent system that leverages the vast amount of information available on the internet to perform multi-step searches and analytical summaries for complex tasks. It delivers comprehensive and easy-to-read reports, significantly improving users' efficiency when handling time-consuming tasks. With Deep Research, tasks that used to take hours can now be completed in just a few minutes.

2025/03/28

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Web Dev

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Web Dev empowers web developers to create stunning, functional websites with just a natural language prompt. Simply describe your vision, and get a complete, ready-to-use webpage with clean code and modern design — no coding or design skills required.

2025/03/28

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Thinking

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Qwen excels in advanced reasoning and problem-solving. This enables it to tackle complex issues with clarity and precision, leveraging real-time internet data to deliver comprehensive, logical, and actionable solutions.

2025/03/28

Product

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Harness the power of intelligent search with Qwen. Quickly find answers, resources, or inspiration from across the web. With advanced filtering and contextual understanding, Qwen delivers precise results that match your query. Whether it’s researching a topic, finding recipes, or discovering new trends, Qwen ensures you have access to the most relevant information at your fingertips.

2025/03/28

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Multimodal Understanding

Qwen boasts powerful multimodal understanding capabilities, enabling it to process and analyze various types of information such as text, images, audio, and video simultaneously. Whether it’s interpreting data from a chart, extracting key information from an audio clip, or generating comprehensive responses by combining text and images, Qwen handles these tasks with ease. Through advanced cross-modal deep learning technology, Qwen helps you tackle complex tasks more efficiently, enhancing both work productivity and learning experiences.

2025/03/28

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Latest Research

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Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge

Release2026/07/21

We are launching Qwen-Image-3.0, the third-generation foundational image generation model in the Qwen-Image series. If the keyword for Qwen-Image-1.0 was "Precision", and the keywords for Qwen-Image-2.0 were "Precision, Variety, Completeness, Beauty, and Authenticity", then the core of Qwen-Image-3.0 comes down to a single word — "Real" (实). This "Real" is embodied across three dimensions:...

Qwen-AgentWorld: Language World Models for General Agents

Open-Source2026/06/23

Today we release Qwen-AgentWorld, a native language world model that simulates agent environments across seven domains: Native world modeling: environment modeling is the training objective from continual pre-training onward (CPT → SFT → RL), not a post hoc adaptation on top of a general-purpose LLM. Seven domains, one model: a single model simulates text-based (MCP, Search, Terminal, SWE)...

Qwen-Robot Suite: A Foundation Model Suite for Physical World Intelligence

Release2026/06/16

The Qwen family of foundation models already gives strong perception and reasoning about the physical world. But seeing is not acting: the gap between vision and language understanding and physical control remains the central bottleneck for embodied intelligence. The Qwen-Robot Suite bridges this gap with three foundation models — Qwen-RobotNav, Qwen-RobotManip, and Qwen-RobotWorld. Nav unifies...

Qwen-RobotNav: A Scalable Navigation Model Designed for an Agentic Navigation System

Release2026/06/16

Agentic navigation systems require a base navigation model with a configurable navigation context protocol: instruction following, object search, target tracking, and autonomous driving share the same perception-planning backbone yet demand fundamentally different context strategies for consuming the visual stream. Like the Model Context Protocol for LLM tool use, a navigation model needs a...