Revolutionizing Research: Transforming Reports into Dynamic Webpages and Podcasts with Qwen’s Latest Update

Alibaba’s Qwen Team Introduces Major Expansion to Qwen Deep Research Tool

Alibaba’s renowned Qwen Team, known for its AI model researchers and engineers, has recently unveiled a significant enhancement to its Qwen Deep Research tool. This tool can be activated within the web-based Qwen Chat platform, a competitor to ChatGPT, providing users with a wide range of new functionalities.

The latest update allows users to generate comprehensive research reports with well-organized citations, interactive web pages, and multi-speaker podcasts with just 1-2 clicks. This update is part of a proprietary release, separate from Qwen’s previous open-source model offerings.

While the core capabilities of the tool are powered by open-source models like Qwen3-Coder, Qwen-Image, and Qwen3-TTS, the end-to-end experience, including research execution, web deployment, and audio generation, is managed and operated by Qwen. This ensures that users can benefit from a seamless workflow without the need to configure infrastructure. However, developers with access to the open-source models could potentially replicate similar functionality on their own systems.

The announcement of this update was made via the team’s official X account (@Alibaba_Qwen) on October 21, 2025, highlighting the new features of Qwen Deep Research.

Multi-Format Research Output

The workflow of the tool begins with a user request within the Qwen Chat interface. Qwen collaborates with users by asking clarifying questions, gathering data from various sources, and analyzing inconsistencies. The tool can even generate custom code when necessary.

A demo video posted by Qwen on X illustrates this process using the U.S. SaaS market as an example. The video showcases how Qwen retrieves data from industry sources, identifies discrepancies, and provides contextual analysis to support the findings.

After completing the research, users can view the report in the right-hand pane of the interface. They can then choose to generate a live web page or a podcast by clicking the “Create” button. The web page is automatically deployed and hosted by Qwen, incorporating visuals generated by Qwen-Image. The podcast features dynamic, multi-speaker narration and is also hosted by Qwen for easy sharing.

Comparisons to Google’s NotebookLM

While Qwen Deep Research has been well-received by users, comparisons to Google’s NotebookLM have emerged. While NotebookLM focuses on organizing existing documents, Qwen Deep Research emphasizes generating new research content from scratch and presenting it across multiple modalities.

Availability

Qwen Deep Research is now live and accessible through the Qwen Chat app. Users can access the feature through a specific URL provided by Qwen.

What’s Next For Qwen Deep Research?

Qwen Deep Research aims to streamline the research process by providing guidance, data analysis, and multi-format content creation in a single tool. The integration of code, visuals, and voice makes it appealing to content creators, educators, and analysts looking to scale their research efficiently.

In conclusion, Qwen Deep Research offers a unique approach to research and content creation, catering to a wide range of users. While comparisons to other tools may arise, Qwen’s focus on multi-format execution sets it apart in the AI-assisted research landscape. The tool signifies that research is not confined to documents but can be transformed into various engaging formats.

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