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Hangzhou-based DeepSeek burst onto the AI scene earlier in 2025 with its R1 model techcrunch.com. This time, DeepSeek’s announcement focuses on efficiency. On Sept. 29 the company published a post unveiling DeepSeek-V3.2-Exp, an experimental large language model built on its V3 series techcrunch.com techcrunch.com. According to DeepSeek, V3.2-Exp maintains similar reasoning performance to V3.1 but uses far less compute for long inputs. The key innovation is a “DeepSeek Sparse Attention” mechanism: rather than comparing every token to every other in a long document, DSA first uses a “lightning indexer” to pick out important excerpts, then a fine-grained selector to zoom in on the most salient words inside them techcrunch.com hindustantimes.com. This two-stage pruning means the model can “handle a large amount of data” more cheaply, processing tens of thousands of tokens without exploding costs techcrunch.com venturebeat.com.