Introduction

GPT‑4.1 mini is a significant leap in small model performance, even beating GPT‑4o in many benchmarks. It matches or exceeds GPT‑4o in intelligence evals while reducing latency by nearly half and reducing cost by 83%.

Training

Authors

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Research leads Ananya Kumar, Jiahui Yu, John Hallman, Michelle Pokrass Research core contributors Adam Goucher, Adi Ganesh, Bowen Cheng, Brandon McKinzie, Brian Zhang, Chris Koch, Colin Wei, David Medina, Edmund Wong, Erin Kavanaugh, Florent Bekerman, Haitang Hu, Hongyu Ren, Ishaan Singal, Jamie Kiros, Jason Ai, Ji Lin, Jonathan Chien, Josh McGrath, Julian Lee, Julie Wang, Kevin Lu, Kristian Georgiev, Kyle Luther, Li Jing, Max Schwarzer, Miguel Castro, Nitish Keskar, Rapha Gontijo Lopes, Shengjia Zhao, Sully Chen, Suvansh Sanjeev, Taylor Gordon, Ted Sanders, Wenda Zhou, Yang Song, Yujia Xie, Yujia Jin, Zhishuai Zhang