DeepSeek-V4-Flash is a lightweight, efficiency-focused Mixture-of-Experts model built to provide a high-performance alternative within the V4 series. It utilizes a total of 284 billion parameters with 13 billion active parameters per token, allowing it to balance rapid response times with robust reasoning capabilities. The model is engineered with a hybrid attention architecture that integrates Compressed Sparse Attention and Heavily Compressed Attention, enabling it to handle a one-million-token context window with significantly improved efficiency. By incorporating Manifold-Constrained Hyper-Connections, the design ensures stable signal propagation, making it a reliable choice for complex tasks that require both depth and speed.

Developed as the economical counterpart to the larger V4-Pro, this model excels in scenarios where responsiveness is critical, such as coding assistants, chat systems, and automated agent workflows. It maintains reasoning performance that closely approaches its larger sibling while delivering parity on simple agentic tasks. The model supports configurable reasoning modes, allowing users to adjust thinking effort based on the complexity of the input. Its architecture is specifically optimized for high-throughput environments, offering a practical solution for developers who need to maintain high-quality output while managing the computational demands of long-context processing.