DeepSeek-V3.2
DeepSeek · 2025-12-01 · 685.4B parameters
DeepSeek-V3.2 is DeepSeek's open-weight MoE model, released December 1, 2025, and uses DeepSeek Sparse Attention: top-k sparse attention instantiated under MLA whose core attention is O(Lk), though its lightweight indexer remains O(L²). Its post-training combines specialist distillation with mixed GRPO-based reinforcement learning. It supports thinking and non-thinking modes, including tool use in both modes, with a documented 128K-token context window; its agentic task synthesis pipeline covered 1,800+ environments and 85,000+ prompts.