DeepSeek-V3.2 is a 685 billion parameter language model developed by DeepSeek-AI, featuring a 32,768 token context length. It integrates DeepSeek Sparse Attention (DSA) for efficient long-context processing and a scalable reinforcement learning framework. The model excels in complex reasoning and agentic tasks, with a specialized variant, DeepSeek-V3.2-Speciale, demonstrating performance comparable to or surpassing GPT-5 and Gemini-3.0-Pro in mathematical and informatics olympiads.
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