The Qwen3.5 native vision-language series Flash model is based on a hybrid architecture design that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared with the 3 series, the model's performance achieves a leap-forward improvement in both pure text and multimodality; it has a fast response speed, combining both inference speed and performance.
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The Qwen3.5 native vision-language series Flash model is based on a hybrid architecture design that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared with the 3 series, the model's performance achieves a leap-forward improvement in both pure text and multimodality; it has a fast response speed, combining both inference speed and performance.
The Qwen3.5 native vision-language series Flash model is based on a hybrid architecture design that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared with the 3 series, the model's performance achieves a leap-forward improvement in both pure text and multimodality; it has a fast response speed, combining both inference speed and performance.
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