Qwen 3.5 is a MoE (Mixture of Experts) specialized model lineup released by the Alibaba Qwen team as a successor to Qwen 3. It adopts an MoE architecture ranging from 35B to 122B, resulting in fewer active parameters compared to the total number of parameters, enabling fast inference even on lightweight GPUs. In particular, the 35B MoE model has approximately 3B~8B active parameters, achieving similar quality while using less than half the VRAM compared to a full-size 35B dense model. In terms of performance, it is comparable to or surpasses GPT-4o-mini and supports an ultra-long context of 262K tokens. The 262K context opens up innovative possibilities in biomedical research. Just as a researcher can read and understand an entire hundreds-of-page paper at once, it allows for the analysis of long clinical trial reports and the cross-referencing of multiple papers. This overcomes the limitations of previous models that had to divide long documents into chunks for processing with 4K~128K contexts, enabling analysis while maintaining the context of the entire document. It is fully available for commercial use under the Apache 2.0 license and can be installed with a single line in Ollama. Due to the MoE structure, it has a short time to start inference after a cold load and is memory-efficient, making it advantageous in multi-model environments where multiple models need to be loaded simultaneously. It also supports the thinking mode of Qwen 3, allowing for the activation of step-by-step reasoning in complex inference tasks.