DeepSeek V4 Flash is a Mixture-of-Experts language model built to balance high-performance reasoning with operational efficiency. With 284 billion total parameters and 13 billion activated parameters, it is engineered to handle complex tasks while maintaining rapid response times. The architecture features a hybrid attention mechanism that combines Compressed Sparse Attention and Heavily Compressed Attention, allowing the model to process a one-million-token context window with significant improvements in inference efficiency and reduced memory overhead. Additionally, the integration of Manifold-Constrained Hyper-Connections helps stabilize signal propagation throughout the network, ensuring reliable performance during intensive computational tasks.

Designed as a streamlined counterpart to the larger V4-Pro, this model is optimized for developers and organizations that require a cost-effective solution for coding assistants, agentic workflows, and large-scale data analysis. Its design lineage emphasizes practical utility, offering reasoning capabilities that closely approach its larger sibling while excelling in simple agentic tasks. By prioritizing high throughput and efficient long-context management, the model serves as a versatile tool for real-world applications ranging from automated coding to interactive chat systems, providing a scalable path for users who need to balance deep analytical power with the speed required for production environments.