DeepSeek V3.1 is a hybrid inference model that serves as the predecessor to the experimental V3.2 line. It introduced the concept of unified weights for both thinking and non-thinking modes. In its standard configuration, it offers fast, cost-effective performance suitable for general-purpose chat and agentic tasks, with a 128k context window and strong general knowledge capabilities.