GPT-5.5 represents a significant architectural shift as the first fully retrained base model since the GPT-4.5 series. Unlike previous iterations that relied on incremental updates, this model is built on a unified, natively omnimodal architecture capable of processing text, images, audio, and video end-to-end. Designed to function as a highly capable agent, it excels at navigating complex, multi-part workflows that require planning, tool usage, and self-correction. Whether it is debugging code, analyzing data, or operating software, the model is engineered to handle ambiguity and maintain focus until a task is fully completed.

The model’s performance is bolstered by deep hardware co-design with NVIDIA’s GB200 and GB300 rack-scale systems, which allows it to maintain high intelligence levels without sacrificing per-token latency. This efficiency is further enhanced by custom load-balancing heuristics developed through the model’s own analysis of production traffic. By leveraging these advancements, the model achieves state-of-the-art results on benchmarks like Terminal-Bench 2.0 and OSWorld, demonstrating a strong aptitude for agentic coding and scientific research. As a result, it serves as a robust foundation for users who need to automate intricate, long-running processes across various digital environments.