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.…