DeepSeek V4.1 Flash 1017 (Max)

DeepSeek-V4.1-Flash-1017 is an updated multimodal Mixture-of-Experts language model developed by DeepSeek, released on October 17, 2026. Built as an incremental evolution of the DeepSeek-V4.1-Flash line, the model delivers substantial improvements across reasoning, coding, agentic workflows, and visual benchmarks while providing faster task completion and shorter, more concise outputs. It features a Causal Encoder-Decoder (CED) architecture combined with Compressed Sparse Attention 2 (CSA2) and Engram conditional memory, containing approximately 552 billion backbone parameters. The model natively processes text and image modalities with a massive context window of up to one million tokens (1,048,576 tokens). Trained using Reinforcement Learning with Self-Feedback (RLSF), DeepSeek-V4.1-Flash-1017 activates only a fraction of its parameters per token during prefill and decode stages, optimizing cost efficiency for complex multi-turn developer tasks and automated code generation.