DeepSeek-V3.2-Exp
DeepSeek · 2025-09-29 · 685.4B parameters
DeepSeek-V3.2-Exp is DeepSeek's experimental open-weight MoE checkpoint, released September 29, 2025 after continued training from DeepSeek-V3.1-Terminus to add DeepSeek Sparse Attention (DSA), a lightning-indexer-driven fine-grained top-k mechanism instantiated under MLA. Its continued pre-training used a dense indexer warm-up followed by sparse training of all parameters, and its post-training retained V3.1-Terminus's specialist-distillation and mixed-GRPO pipeline. It supports chat-template-selectable thinking and non-thinking modes with a documented 128K-token context window.