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Alibaba Just Released Qwen3.8-Flash: “An Early Preview of the Architecture in Qwen4”

The open-weight model uses 6 billion active parameters per token and is meant to preview the Qwen 4 architecture for developers and enterprise teams.

Summary by The New Stack
Alibaba this week unveiled Qwen3.8-Flash, an open-weight, multimodal Mixture-of-Experts (MoE) model.  Hot on the heels of Qwen 3.8 Max, which arrived at the start of the month, this 125-billion-parameter AI model is offered as a prelude to Qwen 4. It is positioned as both a performance and value-for-money play. As such, it is claimed to have “superior capabilities in coding and office tasks” and an optimal balance among capability, latency, and …

9 Articles

Alibaba Cloud has launched Qwen3.8-Flash-Next, a multimodal artificial intelligence (AI) model of "mixture-of-experts" type, offering a first overview of the architecture of the future Qwen4 family. This architectural redesign focuses on both the attention mechanism, residual connections, integration and optimization. Qwen3.8-Flash-Next has a main model of 125 billion parameters, complemented by 51 billion additional parameters, of which only 6 …

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TechNode broke the news on Thursday, August 27, 2026.
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