Alibaba to Release Qwen 3.8-Flash-Next, Previewing Qwen 4 Architecture

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On August 26 (UTC+8), Alibaba’s Qwen team announced the release of Qwen 3.8-Flash-Next, a Mixture-of-Experts model with 125 billion parameters that activates 60 billion parameters per token and serves as a preview of the Qwen 4 architecture. As an open-weight model, developers can access it on Hugging Face and ModelScope without relying on a proprietary API. This move supports global CFT initiatives by promoting transparency in risk-on assets. Benchmark results have not been disclosed, and the parameter figures remain unconfirmed.

ME News reports that on August 26 (UTC+8), Alibaba’s Qwen team will release Qwen 3.8-Flash-Next on Wednesday, a Mixture of Experts (MoE) model with a total of 125 billion parameters, but only 6 billion parameters activated per token. The team positions it as a preview of the next-generation Qwen 4 architecture, rather than the final flagship model. The model is described as multimodal and built on the upcoming Qwen 4 architecture. The team stated that releasing this early version ahead of time aims to help developers prepare for the full Qwen series. Model weights will be hosted on Hugging Face and ModelScope. To date, Qwen has not published benchmark results for this model or comparative data against its own Qwen 3 series or overseas competitors, and the figures of 125 billion and 6 billion parameters have not been officially confirmed. As an open-weight model, developers can download, fine-tune, and run it for free without sending data to closed APIs, helping reduce model hosting costs. (Source: ChainCatcher)

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