'The Qwen 3.5 series 397B-A17B is a native vision-language model based on a hybrid architecture design. By integrating linear attention mechanisms with sparse Mixture-of-Experts (MoE), it achieves significantly higher inference efficiency. It demonstrates exceptional performance—comparable to current state-of-the-art frontier models—across a wide range of tasks, including language understanding, logical reasoning, code generation, agentic tasks, image and video understanding, and Graphical User Interfaces (GUI). Furthermore, it possesses robust code generation and agent capabilities, showing excellent generalization across various agent-based scenarios

"The Qwen3.5 Native Vision-Language Series Plus model is built on a hybrid architecture that integrates linear attention mechanisms with sparse Mixture-of-Experts (MoE), achieving significantly higher inference efficiency. Across various task evaluations, the 3.5 series demonstrates exceptional performance comparable to current state-of-the-art frontier models. Compared to the Qwen 3 series, this model represents a massive leap forward in both text-only and multimodal capabilities."'