DeepSeek-V4.1-Flash Packs 552B Parameters With Efficient MoE Inference

This story was originally published on HackerNoon at: https://hackernoon.com/deepseek-v41-flash-packs-552b-parameters-with-efficient-moe-inference. DeepSeek-V4.1-Flash is a 552B multimodal MoE model with 1M-token context, 8B prefill activation, FP4 KV cache, and agent-focused tooling. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #machine-learning, #performance, #programming, #algorithms, #api, #artificial-intelligence, #deepseek-v4.1, #multimodal-ai, and more. This story was written by: @aimodels44. Learn more about this writer by checking @aimodels44's about page, and for more stories, please visit hackernoon.com. DeepSeek-V4.1-Flash is a 552B multimodal MoE model with 1M-token context, 8B prefill activation, FP4 KV cache, and agent-focused tooling.