To the Moon and Back: Scaling GPT-5 for the Future of AI
Abstract
This article presents a real-world comparison of OpenAI’s GPT-5 against GPT-4o across 25 diverse workloads using real-time to answer (RTTA), highlighting how architectural advancements in GPT-5 deliver measurable latency reductions and efficiency gains in enterprise-scale artificial intelligence applications.
Fields of Study & Subjects
Artificial Intelligence in Healthcare and Education
Ethics and Social Impacts of AI
Machine Learning and Algorithms
Publication details
- Journal / source
- Computer
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Volume
- 59
- Issue
- 6
- Pages
- 85–91
- Publication date
- 29 May 2026