DeepSeek released DeepSeek-V3.2-Exp, an “intermediate” update to V3.1 that adds DeepSeek Sparse Attention (DSA)—a trainable sparsification path aimed at long-context efficiency. DeepSeek also reduced API prices by 50%+, consistent with the stated efficiency gains. DeepSeek-V3.2-Exp keeps the V3/V3.1 stack (MoE + MLA) and inserts a two-stage attention path: (i) a lightweight “indexer” that scores context […]
The post DeepSeek V3.2-Exp Cuts Long-Context Costs with DeepSeek Sparse Attention (DSA) While Maintaining Benchmark Parity appeared first on MarkTechPost.
