OpenAI introduces GDPval to measure model performance on real-world tasks

Measuring the performance of our models on real-world tasks

OpenAI introduced GDPval, an eval covering 44 occupations and 1,320 real-world work tasks, with 220 gold tasks open-sourced. It spans the top 9 U.S. GDP industries, uses tasks built and vetted by professionals averaging 14+ years of experience, and is limited to one-shot evaluation rather than iterative workflows. The key shift is from exam-style prompts to real deliverables like docs, slides, spreadsheets, diagrams, and multimedia.

Why it matters: OpenAI's GDPval is a strong HKR-H/K/R story: the hook is evaluation on real work outputs, the post adds concrete dataset numbers and limits, and it hits the automation-of-knowledge-work nerve. It is not a model launch or executive event, so it stays featured rather than p1.