Qwen3.5 Plus

Qwen3.5 Plus represents Alibaba's architectural pivot toward efficient large-scale intelligence, pairing a hybrid design that fuses linear attention through Gated Delta Networks with a sparse mixture-of-experts framework. This approach delivers the representational power of a 397-billion parameter model while activating only 17 billion parameters per forward pass, dramatically improving inference speed and cost compared to dense alternatives. Engineered as a native vision-language model from inception rather than retrofitted, it accepts text, images, and video while producing text output, and arrives purpose-built for the agentic AI era with integrated tool calling and a million-token context window to handle lengthy, multi-step workflows.

The model emerges from Alibaba's continued refinement of the Qwen family, with the base weights open-sourced as Qwen3.5-397B-A17B while the Plus tier offers a managed experience via cloud hosting. Its expanded language support across 201 languages and dialects broadens applicability for global deployments. The architecture's efficiency focus makes it particularly suited for scenarios requiring sustained reasoning across long documents, complex agentic tasks, and cost-sensitive production environments, positioning it as a competitive alternative to frontier models at significantly lower operational expense while maintaining frontier-class benchmark performance.