DeepSeek V3.2: Efficient Reasoning & Agentic AI Technical Report 👁️ Introduction We introduce DeepSeek V3.2 , a model that harmonizes high computational efficiency with superior reasoning and agent performance. Our approach is built upon three key technical breakthroughs: 1. DeepSeek Sparse Attention (DSA): We introduce DSA, an efficient attention mechanism that substantially reduces computational complexity while preserving model performance, specifically optimized for long context scenarios. 2. Scalable Reinforcement Learning Framework: By implementing a robust RL protocol and scaling post training compute, DeepSeek V3.2 performs comparably to GPT 5. Notably, our high compute variant, DeepSeek V3.2 Speciale , surpasses GPT 5 and exhibits reasoning proficiency on par with Gemini 3.0 Pro. Achievement: 🥇 Gold medal performance in the 2025 International Mathematical Olympiad (IMO) and International Olympiad in Informatics (IOI). 3. Large Scale Agentic Task Synthesis Pipeline: To integrate reasoning into tool use scenarios, we developed a novel synthesis pipeline that systematically generates training data at scale. This facilitates scalable agentic post training, improving complian…
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