DeepSeek-V3.2-Exp
Long-context efficiency with DeepSeek Sparse Attention
DeepSeek-V3.2-Exp launched on September 30, 2025 with 155 votes, #204 of 8,160 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
DeepSeek-V3.2-Exp is a new experimental model introducing DeepSeek Sparse Attention (DSA). This new architecture boosts long-context efficiency for training and inference while maintaining the performance of V3.1-Terminus. API prices have been cut by over 50%.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We are excited to announce the official release of DeepSeek-V3.2-Exp, an experimental version of our model. As an intermediate step toward our next-generation architecture, V3.2-Exp builds upon V3.1-Terminus by introducing DeepSeek Sparse Attention—a sparse attention mechanism designed to explore and validate optimizations for training and inference efficiency in long-context scenarios. This experimental release represents our ongoing research into more efficient transformer architectures, particularly focusing on improving computational efficiency when processing extended text sequences. DeepSeek Sparse Attention (DSA) achieves fine-grained sparse attention for the first time, delivering…from huggingface.co
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