DeepSeek V4 Pro is a large-scale Mixture-of-Experts language model engineered to handle demanding cognitive tasks. With a massive architecture comprising 1.6 trillion total parameters and 49 billion active parameters per token, the model is specifically designed to excel in deep reasoning, software engineering, and multi-step agentic workflows. Its design incorporates a hybrid attention mechanism that combines Compressed Sparse Attention and Heavily Compressed Attention, alongside Manifold-Constrained Hyper-Connections to ensure stable signal propagation. This structural innovation allows the model to maintain high performance across extensive information synthesis and complex codebase analysis.

The model benefits from a sophisticated training lineage that prioritizes efficiency alongside raw capability. By utilizing advanced architectural optimizations, it achieves significant reductions in inference compute and memory requirements compared to its predecessors. These improvements enable the model to deliver world-class performance in math, STEM, and coding benchmarks, positioning it as a leading open-weight solution that rivals top closed-source alternatives. Its ability to manage long-horizon agent tasks makes it a practical choice for developers building complex, automated systems that require both high-level reasoning and reliable, large-scale data processing.