DeepSeek V3.2 Exp is an experimental iteration built on the V3.1 “Terminus” lineage and intended as a stepping stone toward DeepSeek’s next-generation architecture. It focuses on efficiency (lower training/inference cost) for long-context workloads while aiming to preserve V3-class output quality. The company positioned it as an intermediate release meant to validate new attention and routing […]
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