New Qwen3.5 Models Discovered on Qwen Chat Platform, Sparking AI Community Interest

New Qwen3.5 Models Discovered on Qwen Chat Platform, Sparking AI Community Interest

On April 2024, observers within the open-source AI community detected what appear to be early versions of Qwen3.5 models on the official Qwen Chat interface. The discovery, first reported by user /u/AaronFeng47 on the r/LocalLLaMA subreddit, has prompted widespread analysis and speculation about Alibaba’s next-generation language model strategy. Screenshots shared by the user show model selection menus listing variants labeled ‘Qwen3.5-7B’ and ‘Qwen3.5-72B’—naming conventions that align with prior Qwen releases but extend beyond the officially announced Qwen2.5 series.

While Alibaba Cloud has not issued any official statement regarding Qwen3.5, the presence of these model identifiers on a public-facing interface suggests either an unintended leak or a controlled beta deployment. The Qwen Chat platform, typically used to showcase Alibaba’s latest AI capabilities to end users, is not usually a venue for unreleased models. This raises questions about whether the company is testing internal performance metrics under real-world conditions or preparing for a phased public release.

Technical analysts have noted that the naming structure mirrors Alibaba’s established pattern: Qwen1.5, Qwen2, and Qwen2.5 were all incrementally released with increasing parameter counts and performance benchmarks. The inclusion of both 7B and 72B parameter variants in the spotted interface implies that Qwen3.5 may be designed for a broader deployment spectrum—from edge devices to enterprise-scale cloud inference. The 7B model, if optimized for efficiency, could compete with models like Llama 3 8B and Mistral 7B, while the 72B version may rival GPT-4-level reasoning capabilities.

Community members on Reddit have cross-referenced the model names with recent GitHub activity and model card metadata from Hugging Face, where Qwen2.5 models were last updated in February 2024. No official Qwen3.5 repositories have been published, but several users report being able to interact with the new models via Qwen Chat’s API endpoints, albeit with limited access. One user noted that responses from the Qwen3.5-72B variant demonstrated improved contextual retention and more nuanced reasoning in multi-step math problems compared to Qwen2.5.

Security researchers caution that the exposure of unreleased models—even in a limited capacity—could present risks. Open-source developers who reverse-engineer these models may inadvertently expose proprietary training data or architectural decisions. Additionally, the lack of documentation or versioning controls raises concerns about model drift and unintended biases being deployed without oversight.

Industry watchers suggest that Alibaba may be adopting a "stealth launch" strategy, similar to how Meta quietly rolled out Llama 3 before its official announcement. By allowing early adopters and developers to interact with Qwen3.5 on a live platform, Alibaba could gather real-time feedback on performance, safety alignment, and user satisfaction before a formal release. This approach also allows the company to gauge market response and adjust marketing or licensing strategies accordingly.

As of now, Qwen3.5 remains unverified by Alibaba Cloud. However, the evidence collected by the AI community—including model identifiers, API behavior, and response patterns—strongly indicates that development has progressed beyond internal testing. The next few weeks may reveal whether this is a leak or the opening act of a major AI product launch. For now, researchers and developers are advised to treat the models as preliminary and to await official confirmation before integrating them into production systems.

For updates, the AI community is monitoring the Qwen GitHub repository, Alibaba’s Tongyi Lab blog, and the official Qwen Chat platform. Further analysis from independent labs is expected in the coming days.