Alibaba has introduced the new open source Qwen3.5 series built for native multimodal agents. The first model in this series is a ~400B parameter native vision-language model (VLM) with reasoning built with a hybrid architecture of mixture of experts (MoE) and Gated Delta Networks. Qwen3.5 can understand and navigate user interfaces, which improves on the previous generation of VLMs.  Qwen3.5 is ideal for a variety of use cases, including: Coding, including web development Visual reasoning, including mobile and web interfaces Chat applications Complex search Qwen3.5 Modalities Vision, language Total parameters 397B Active parameters 17B Activation rate 4.28% Input context length 256K extensible to 1M tokens Languages supported 200+ Additional configuration information Experts 512 Shared experts 1 Experts per token 11 (10 routed + 1 shared) Layers 60 Words (vocabulary) 248,320 Table 1.…