> ## Documentation Index > Fetch the complete documentation index at: https://docs.siray.ai/llms.txt > Use this file to discover all available pages before exploring further. # DeepSeek V3.2 Exp > DeepSeek AI's V3.2 Exp is an Experimental MoE LLM introducing DeepSeek Sparse Attention for drastically lower long-context inference cost while maintaining V3.1's quality. ### Model Use Cases An Experimental MoE LLM introducing DeepSeek Sparse Attention (DSA). It achieves dramatically lower long-context inference cost while maintaining V3.1's high quality. ### Key Features * **Sparse Attention (DSA):** Utilizes a novel sparse attention mechanism to cut inference costs significantly. * **Cost Efficiency:** Achieves near-parity with V3.1 quality at a fraction of the computational expense. * **Long-Context Efficiency:** Optimized for cost-effective handling of extremely large documents and code files.