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Qwen released Qwen3.8-Flash-Next, an open-source multimodal Mixture-of-Experts model with 125B total parameters (6B active), which serves as an early preview of the architecture powering the upcoming Qwen4, offering significant performance and efficiency gains.

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Qwen3.8-Flash-Next: Alibaba's Open-Source Model Offers Early Look at Qwen4 Architecture

New Release Bolsters Qwen's Leadership in Open-Source Models

FAQ

What is Qwen3.8-Flash-Next?

It is a large multimodal (text and image) open-source language model from the Qwen family, using a Mixture-of-Experts (MoE) architecture and serving as an early preview of the architecture for Qwen4.

How does Qwen3.8-Flash-Next compare to other models?

It stands out with its MoE design: 125B total parameters but only 6B active per request, delivering high performance with lower compute requirements compared to dense models of similar size.

Can MENA enterprises use this model?

Yes, the model is open-source and available for local deployment, making it attractive for organizations seeking robust AI solutions while maintaining data privacy and regulatory compliance.

Why is this release important as a precursor to Qwen4?

It gives developers and enterprises an early opportunity to test the new architectural approach Qwen4 will adopt, allowing for performance evaluation and future application planning before the official launch.

Source: Simon Willison (LLM & tools)

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