OpenAI GPT-4.1

GPT-4.1 represents a significant evolution in the GPT family, designed as a flagship model to handle demanding real-world tasks with improved efficiency. The architecture is specifically engineered to excel in coding, instruction adherence, and long-form content processing, offering a substantial leap in performance over its predecessors. By supporting a massive context window of up to one million tokens, the model is built to maintain high recall and coherence across extensive datasets, making it a robust choice for developers and enterprise users who require deep, reliable analysis of long documents or complex codebases.

The development of this series focused on practical utility, incorporating direct developer feedback to refine behaviors such as consistent tool usage, reliable formatting, and precise code generation. Through rigorous training, the model achieves state-of-the-art results on benchmarks like SWE-bench Verified for software engineering and Video-MME for multimodal long-context understanding. By offering Standard, Mini, and Nano versions, the series provides a scalable approach to balancing performance and latency, ensuring that users can leverage advanced reasoning capabilities for everything from IDE tooling and refactoring to large-scale knowledge retrieval.