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OpenAI GPT-5 System Card

Aaditya Singh
Adam Fry
Adam Perelman
Adam Tart
Adi Ganesh
Ahmed El-Kishky
Aidan McLaughlin
Aiden Low
AJ Ostrow
Akhila Ananthram
Akshay Nathan
Alan Luo
Alec Helyar
Aleksander Madry
Aleksandr Efremov
Aleksandra Spyra
Alex Baker-Whitcomb
Alex Beutel
Alex Karpenko
Alex Makelov
Alex Neitz
Alex Wei
Alexandra Barr
Alexandre Kirchmeyer
Alexey Ivanov
Alexi Christakis
Alistair Gillespie
Allison Tam
Ally Bennett
Alvin Wan
Alyssa Huang
Amy McDonald Sandjideh
Amy Yang
Ananya Kumar
Andre Saraiva
Andrea Vallone
Andrei Gheorghe
Andres Garcia Garcia
Andrew Braunstein
Andrew Liu
Andrew Schmidt
Andrey Mereskin
Andrey Mishchenko
Andy Applebaum
Andy Rogerson
Ann Rajan
Annie Wei
Anoop Kotha
Anubha Srivastava
Anushree Agrawal
Arun Vijayvergiya
Ashley Tyra
Ashvin Nair
Avi Nayak
Ben Eggers
Bessie Ji
Beth Hoover
Bill Chen
Blair Chen
Boaz Barak
Borys Minaiev
Botao Hao
Bowen Baker
Brad Lightcap
Brandon McKinzie
Brandon Wang
Brendan Quinn
Brian Fioca
Brian Hsu
Brian Yang
Brian Yu
Brian Zhang
Brittany Brenner
Callie Riggins Zetino
Cameron Raymond
Camillo Lugaresi
Carolina Paz
Cary Hudson
Cedric Whitney
Chak Li
Charles Chen
Charlotte Cole
Chelsea Voss
Chen Ding
Chen Shen
Chengdu Huang
Chris Colby
Chris Hallacy
Chris Koch
Chris Lu
Christina Kaplan
Christina Kim
CJ Minott-Henriques
Cliff Frey
Cody Yu
Coley Czarnecki
Colin Reid
Colin Wei
Cory Decareaux
Cristina Scheau
Main:59 Pages
8 Figures
Bibliography:2 Pages
22 Tables
Abstract

This is the system card published alongside the OpenAI GPT-5 launch, August 2025.GPT-5 is a unified system with a smart and fast model that answers most questions, a deeper reasoning model for harder problems, and a real-time router that quickly decides which model to use based on conversation type, complexity, tool needs, and explicit intent (for example, if you say 'think hard about this' in the prompt). The router is continuously trained on real signals, including when users switch models, preference rates for responses, and measured correctness, improving over time. Once usage limits are reached, a mini version of each model handles remaining queries.This system card focuses primarily on gpt-5-thinking and gpt-5-main, while evaluations for other models are available in the appendix. The GPT-5 system not only outperforms previous models on benchmarks and answers questions more quickly, but -- more importantly -- is more useful for real-world queries. We've made significant advances in reducing hallucinations, improving instruction following, and minimizing sycophancy, and have leveled up GPT-5's performance in three of ChatGPT's most common uses: writing, coding, and health. All of the GPT-5 models additionally feature safe-completions, our latest approach to safety training to prevent disallowed content.Similarly to ChatGPT agent, we have decided to treat gpt-5-thinking as High capability in the Biological and Chemical domain under our Preparedness Framework, activating the associated safeguards. While we do not have definitive evidence that this model could meaningfully help a novice to create severe biological harm -- our defined threshold for High capability -- we have chosen to take a precautionary approach.

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