DeepSeek V3.2 Exp is an experimental model introducing the new DeepSeek Sparse Attention (DSA) mechanism for superior long-context efficiency. Built on the V3.1-Terminus architecture, it delivers high-performance inference at significantly reduced costs. This model excels in general-purpose tasks and coding, offering a massive 160k context window while maintaining competitive benchmark scores against proprietary alternatives.