Summary:
1. Alibaba’s Qwen Team has expanded its Qwen Deep Research tool, allowing users to generate research reports, web pages, and podcasts with just 1-2 clicks.
2. The feature utilizes open-source models like Qwen3-Coder, Qwen-Image, and Qwen3-TTS, but is hosted and operated by Qwen for a seamless user experience.
3. While comparisons to Google’s NotebookLM have been made, Qwen Deep Research distinguishes itself by focusing on creating new research content from scratch and presenting it in multiple formats.
Article:
Alibaba’s Qwen Team has unveiled a significant enhancement to its Qwen Deep Research tool, providing users with the ability to effortlessly generate research reports, interactive web pages, and multi-speaker podcasts with just a couple of clicks. This latest feature, part of a proprietary release, leverages open-source models such as Qwen3-Coder, Qwen-Image, and Qwen3-TTS to power its core functionalities. However, what sets it apart is that the entire workflow, from research execution to web deployment and audio generation, is managed and operated by Qwen, eliminating the need for users to configure infrastructure.
The core workflow of Qwen Deep Research begins with a user request within the Qwen Chat interface. Through a collaborative process, Qwen assists by asking clarifying questions, gathering data from various sources, and analyzing inconsistencies to produce high-quality research outputs. A demo video shared by Qwen showcases this process using the U.S. SaaS market as an example, demonstrating the platform’s ability to retrieve data, identify discrepancies, and provide insightful analysis.
Upon completion of the research, users have the option to convert their findings into different formats. By clicking on the “Create” button, users can choose to generate a live web page or a podcast. The web page, hosted by Qwen, includes visually appealing graphics created by Qwen Image, making it suitable for various purposes. On the other hand, the podcast feature offers dynamic narration by multiple speakers, enhancing the auditory experience for listeners.
Despite the positive reception of Qwen Deep Research, comparisons have been drawn to Google’s NotebookLM, highlighting the unique approaches and target user experiences of each tool. While NotebookLM focuses on organizing existing documents, Qwen Deep Research excels in generating new research content and presenting it across different modalities.
Qwen Deep Research is now available through the Qwen Chat app, offering users a streamlined path from idea to publishable output. The integration of code, visuals, and voice caters to content creators, educators, and analysts looking to expand their research into web- or podcast-friendly formats. As Qwen continues to innovate in the research space, it emphasizes that research is not just about documents, but about creating engaging and accessible content across various platforms.
