Tech

Alibaba Confirms Qwen 4 Is in Training, With Release Rumored for Early November

This remark, attributed to Li by attendee John T. Davies, places the potential release window between November 2 and November 8, 2026. Although this date rests on a single observer’s note rather than an official corporate announcement, it is supported by internal code changes and market sentiment. As the first week of November has already passed without a launch, the focus shifts to what has been verified versus what remains speculative.

The Evidence: Company Statements vs. Attendee Reports

To understand the current status of Qwen 4, it is necessary to distinguish between Alibaba’s formal communications and informal reports. In September 2026, during the Apsara Conference in Hangzhou, Alibaba released a roadmap that explicitly mentioned Qwen 4. The company stated that the model was “currently in training.” In the same release, Alibaba outlined plans for future generations, Qwen 4.5 and Qwen 5, projecting that these subsequent models would scale up to between 5 and 10 trillion parameters. It is crucial to note that the 10-trillion-parameter figure applies to the generations *after* Qwen 4, not to the model currently in development. Alibaba provided no specific dates, parameter counts, or tier names for Qwen 4 in that written roadmap.

The “next week” comment adds a layer of urgency but lacks the weight of an official press release. On October 29, Alibaba Cloud held its first international Apsara Conference in Amsterdam. While Alibaba’s official press release from that day focused on the launch of its first cloud region in the Netherlands and partnerships with companies like JetBrains, it did not mention Qwen 4. The date reference stems solely from Davies’ social media post, which quoted Li as saying, “Qwen4 next week.” Without a corroborating statement from Alibaba’s official channels, this remains an unverified, albeit plausible, timeline.

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Technical Signals and Internal Coding

Beyond verbal remarks, there are technical indicators suggesting that Qwen 4 is nearing deployment. During the September conference, a slide displayed four specific model names for the upcoming series: Qwen4-Max, Qwen4-Flash, Qwen4-Plus, and Qwen4-27B. These tiers mirror the structure of the current Qwen 3.8 generation, which includes the flagship Qwen3.8-Max. The Qwen3.8-Max was launched on August 3, 2026, and its weights were subsequently published as Qwen3.8-2.4T-A95B. The presence of these specific tier names on stage slides indicates that the architectural planning and naming conventions for Qwen 4 are already established.

Furthermore, code changes within Alibaba’s own coding tools provide additional corroboration. The identifier “qwen4-coder-plus” has appeared in Qwen’s codebase, suggesting that a coding-specific variant of the model is also in preparation. While Alibaba has not officially announced a “Coder” tier for Qwen 4 in the same way it listed the other four models, the presence of this identifier in internal tools implies that development is active across multiple use cases, including software engineering.

Market Expectations and Open Weights

Prediction markets offer a quantitative measure of investor and developer sentiment. On the platform Manifold, a market regarding the Qwen 4 release date assigned a 93.5% probability to a release before December 2026 as of November 5. A separate market estimated an 83% chance that Alibaba would publish open weights for a Qwen 4 model on Hugging Face by November 25. While these markets are small, with only 60 and 6 traders respectively, they reflect a broad consensus that the model is imminent. The expectation of open weights is significant, as Alibaba has historically released the weights for its flagship models, such as the Qwen 3.8 series, shortly after their initial API launch.

It is important to correct a persistent misinformation cycle. At least one model database incorrectly listed a “Qwen 4” release in June 2026. This entry is erroneous; no such model exists on any Qwen repository. The current generation remains Qwen 3.8, and the newest upload to the Qwen organization on Hugging Face is Qwen-Image-2.1-Turbo, an image model added on October 9. Any reports claiming Qwen 4 was released in the summer are based on this bad record and should be disregarded.

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Implications for Users and Developers

For developers and businesses, the imminent release of Qwen 4 represents a significant update to the open-weights landscape. The Qwen 3.8 series has been a major player in the global AI market, offering competitive performance against Western flagships. The introduction of Qwen 4, with its anticipated tiers of Max, Flash, Plus, and a 27B parameter model, suggests a continued strategy of offering diverse options for different computational budgets and use cases. The “Flash” and “Plus” variants likely target efficiency and cost-effectiveness, while “Max” aims for peak performance.

The potential release of a “Coder” variant, hinted at by internal code, could further solidify Qwen’s position in the software development tooling market. Partners like JetBrains, which have secured early access to frontier Qwen models for their Junie coding assistant, may be among the first to integrate Qwen 4 capabilities. This early access program suggests that enterprise adoption may begin before the general public release, a common pattern in the AI industry.

What to Watch Next

Until Alibaba issues an official announcement, the “next week” timeline from October 29 has technically lapsed. However, the convergence of code changes, stage slides, and high-probability prediction markets suggests that the delay is minor rather than indicative of a major setback. Users should monitor the official Qwen account on X and the Qwen organization on Hugging Face for the first signs of a model card or weight release. The next confirmed milestone to watch for is the publication of open weights, which, according to market sentiment, is expected by late November. Until then, Qwen 3.8 remains the latest available version for production use.

Emma Watson

Emma Watson reports on technology with interests spanning artificial intelligence, consumer technology, online security, digital platforms, and major industry developments. She follows new products and services alongside the policies and business decisions influencing them. Emma's approach emphasizes clear explanations, reliable sourcing, and practical context for readers trying to understand how technology is changing.

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