Recently, DeepSeek officially released the v4.1 Flash model, a MoE architecture with 552B parameters that adopts a Causal-Encoder-Decoder structure and features native multimodal visual understanding capabilities. It has 8B input activations and 16B output activations, significantly reducing inference costs, with HBM requirements reduced to 1/4 and SSD requirements to 1/8 of the previous generation. In benchmark tests, the v4.1 Flash outperformed its predecessor, the flagship model v4 Pro. DeepSeek simultaneously lowered the pricing for the Flash series and introduced a peak-valley pricing mechanism. The model is now available on the DeepSeek API, supporting enterprise-grade toolchains and private deployments. Liu Sheng, the operator lead, published an article titled 'I Have No Choice but to Bury My Talent in Yesterday,' admitting that AI is accelerating the replacement of human operator engineers, who will transition to roles as 'mecha pilots,' optimizing operator performance through AI Agents.