Qwen3.5 397B A17B
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers state-of-the-art performance comparable to leading-edge models across a wide range of tasks, including language understanding, logical reasoning, code generation, agent-based tasks, image understanding, video understanding, and graphical user interface (GUI) interactions. With its robust code-generation and agent capabilities, the model exhibits strong generalization across diverse agent.
The date this AI finished learning. It may not know about things that happened after this date.
The types of content this AI can receive, and what it can produce in return.
The maximum amount of text the AI can read and process in a single request. A larger number means it can handle longer documents or conversations.
The cost of using this AI directly in your own application. Shown in USD per 1 million units of text (tokens).