OpenAI on Monday launched its new AI model GPT-4.1, along with smaller versions GPT-4.1 mini and GPT-4.1 nano, touting major improvements in coding, instruction following, and long context comprehension.
The new models, available only on OpenAI’s application programming interface (API), outperform the company’s most advanced GPT-4o model across the board, the ChatGPT maker said.
With improved context understanding, they can support up to 1 million “tokens” — a term that refers to the units of data processed by an AI model. The models are also equipped with refreshed knowledge up to June 2024.
GPT-4.1 showed a 21% improvement over GPT-4o and 27% over GPT-4.5 on coding. Meanwhile, the improvements in instruction following and long context comprehension also make the GPT-4.1 models more effective at powering AI agents.
“Benchmarks are strong, but we focused on real-world utility, and developers seem very happy,” CEO Sam Altman said in a post on social media platform X.
The family of models also operate at a “much lower cost” compared to GPT-4.5, OpenAI said. The company added it would turn off the GPT-4.5 preview that is available in the API in July, as the new models offer “improved or similar performance.”
OpenAI in February released the GPT-4.5 research preview for some users and developers and announced plans to expand access in subsequent weeks.
—Deborah Sophia, Reuters
Melden Sie sich an, um einen Kommentar hinzuzufügen
Andere Beiträge in dieser Gruppe

Shares of Palantir Technologies sailed past previous record highs Tuesday after

A court verdict against Tesla last week, stemming from a fatal 2019 crash of an Aut

When the web was established several decades ago, it was built on a number of principles. Among them was a key, overarching standard dubbed “netiquette”: Do unto others as you’d want done unto you

Taiwanese authorities have detained three people for allegedly stealing technology trade secrets from Taiwan Semiconductor Manufacturing Co (

YouTube videos that won’t load. A visit to a popular inde


Artificial intelligence fuels something called automation bias. I often bring thi