{"version":1,"type":"story","url":"https://digestai.news/story/alibaba-s-qwen-reaches-2-4t-parameters-qwen-4-in-training","json":"https://digestai.news/story/alibaba-s-qwen-reaches-2-4t-parameters-qwen-4-in-training.json","markdown":"https://digestai.news/story/alibaba-s-qwen-reaches-2-4t-parameters-qwen-4-in-training.md","slug":"alibaba-s-qwen-reaches-2-4t-parameters-qwen-4-in-training","headline":"Alibaba's Qwen reaches 2.4T parameters, Qwen 4 in training","summary":"Alibaba’s Qwen model family has evolved from a 7-billion-parameter open-source release in 2023 to a 2.4-trillion-parameter flagship by August 2026. The latest open-weight model, Qwen3.8-2.4T-A95B, features 95 billion active parameters and introduces a commercial license requirement for providers earning over US$50 million annually. This release follows a rapid cadence in 2026, where Alibaba shipped four generations of models (Qwen3.5 through Qwen3.8) in six months, shifting toward a two-tier strategy that keeps smaller models open while monetizing frontier capabilities through proprietary APIs.\n\nThe ecosystem has expanded significantly, with over 400 open models downloaded more than 1 billion times and the Qwen app reaching 203 million monthly active users. However, the team faced internal turbulence in March 2026, with three senior figures leaving, including tech lead Junyang Lin. In response, Alibaba reorganized its AI units under CEO Eddie Wu. Looking ahead, Alibaba announced at Apsara 2026 that Qwen 4 is currently in training, with a roadmap projecting Qwen 4.5 and Qwen 5 to reach 5 to 10 trillion parameters, though no specific release dates or licenses have been confirmed for these future iterations.","keyPoints":["Alibaba open-sourced Qwen3.8-2.4T-A95B with 2.4T parameters and 95B active parameters in August 2026.","Qwen 4 is currently in training, with Qwen 4.5 and 5 projected at 5 to 10 trillion parameters.","Alibaba released four Qwen generations in six months in 2026, splitting open and proprietary strategies."],"whyItMatters":"Qwen's shift to a two-tier license model and rapid release cadence signals a maturing Chinese AI ecosystem. The 2.4T parameter scale challenges US frontier labs, while the open-weight strategy continues to dominate global developer adoption, influencing how competitors structure their own model releases and monetization.","category":{"slug":"models","name":"Generative AI & Models","url":"https://digestai.news/category/models"},"entities":{"companies":["Alibaba","Meta","OpenAI","Apple","AI Singapore"],"models":["Qwen","Qwen3.8-2.4T-A95B","Qwen 4","GPT-5.2-Thinking","Claude Opus 4.5","Gemini 3 Pro"],"people":["Daniel Zhang","Eddie Wu","Junyang Lin","Yu Bowen","Hui Binyuan","Asif Razzaq"]},"firstPublishedAt":"2026-10-05T04:10:34Z","updatedAt":"2026-10-05T04:10:34Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"MarkTechPost","title":"The Story of Qwen: Alibaba’s AI Models From 7B to 2.4T","url":"https://marktechpost.com/2026/10/04/the-story-of-qwen-alibabas-ai-models-from-7b-to-2-4t","publishedAt":"2026-10-05T04:10:34Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":{"title":"Nvidia's Billion Dollar AI Ecosystem Expansion","url":"https://digestai.news/thread/nvidia-s-70-revenue-growth-outlook-explained-by-jensen-huang","storyCount":8},"cite":{"text":"Digest AI, \"Alibaba's Qwen reaches 2.4T parameters, Qwen 4 in training\", 5 October 2026, https://digestai.news/story/alibaba-s-qwen-reaches-2-4t-parameters-qwen-4-in-training","publisher":"Digest AI","title":"Alibaba's Qwen reaches 2.4T parameters, Qwen 4 in training","datePublished":"2026-10-05T04:10:34Z","url":"https://digestai.news/story/alibaba-s-qwen-reaches-2-4t-parameters-qwen-4-in-training"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}