Bullish
Qwen3.8 Series Open Sources, 27B Dense Model Surpasses Qwen3.7-Plus Performance
08:33
Tongyi Qianwen releases Qwen3.8 series under Apache 2.0. The 27B dense multimodal model outperforms Qwen3.7-Plus in coding and office tasks, boosting local deployment options.
Woofun AI reports that Tongyi Qianwen has officially open-sourced the Qwen3.8 model series. The newly released Qwen3.8-27B is a native multimodal Dense model with 27 billion parameters, delivering performance that exceeds Qwen3.7-Plus in real-world applications such as programming and office work. Distributed under the permissive Apache2.0 license, it is positioned for local deployment.
Additionally, the flagship Qwen3.8-Max model weights have also been made available as open source.
WOOFUN AI
Impact Assessment · Quick Read
The release of a high-performing 27B model under Apache 2.0 lowers barriers for enterprise and developer adoption of advanced multimodal capabilities. By outperforming the previous Plus tier, Qwen3.8-27B may accelerate the shift toward efficient, locally hosted AI solutions. This move strengthens Tongyi Qianwen's competitive stance in the open-source AI sector.
Generated by WOOFUN AI · For reference only, not investment advice
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