#long-context

#long-context

Qwen3.5 is available via Hugging Face and is released under an open-source license. With this, Alibaba is explicitly targeting developers and research institutions that want to work with the model themselves. The system can process very long prompts, up to 260,000 tokens, and can be scaled further with additional optimizations. This makes it suitable for complex applications such as extensive document analysis and code generation.

Those relationships map out context, and context builds meaning in language. For example, in the sentence "The bank raised interest rates," attention helps the model establish that "bank" relates to "interest rates" in a financial context, not a riverbank context. Through attention, conceptual relationships become quantified as numbers stored in a neural network. Attention also governs how AI language models choose what information "matters most" when generating each word of their response.