DeepSeek-V4.1-Flash is positioned as the smallest and most efficient member of a new architecture family, designed for greater capability, faster inference, higher throughput, and clean scaling toward larger variants. The model uses a 552B-parameter Mixture-of-Experts design with a new Causal Encoder–Decoder layout, activating just 8B parameters for input processing and 16B for output generation, an asymmetric split that DeepSeek says delivers more intelligence per compute unit while keeping serving costs low. Native visual understanding is built into the architecture rather than bolted on, so image inputs can be handled alongside text in the same workflow.
Training combines new pretraining methods with larger-scale reinforcement-learning post-training, and DeepSeek reports that benchmark results place V4.1-Flash ahead of its flagship DeepSeek-V4-Pro on agentic evaluations, a notable claim for a model explicitly aimed at efficiency. The KV cache footprint has been sharply reduced compared with the previous generation, requiring only a quarter of the HBM and an eighth of the SSD storage, which is particularly valuable for agent workloads where cache-hit charges dominate cost. V4-Flash and V4-Flash-Vision-Exp have been retired, with traffic temporarily routed to V4.1-Flash for compatibility.