DeepSeek-V3.2-Exp released, training inference efficiency improved, API prices synchronized down
Today, we officially released the DeepSeek-V3.2-Exp model, which is an experimental version. As an intermediate step towards a new generation architecture, V3.2-Exp introduces DeepSeek Sparse Attention (a sparse attention mechanism) based on V3.1-Terminus, exploring optimizations and validations for training and inference efficiency with long texts.
Currently, the official app, web version, and mini program have all been updated to DeepSeek-V3.2-Exp, and the API has significantly reduced its prices. We welcome users to experience the testing and provide us with feedback
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