Your data. Your choice.

If you select «Essential cookies only», we’ll use cookies and similar technologies to collect information about your device and how you use our website. We need this information to allow you to log in securely and use basic functions such as the shopping cart.

By accepting all cookies, you’re allowing us to use this data to show you personalised offers, improve our website, and display targeted adverts on our website and on other websites or apps. Some data may also be shared with third parties and advertising partners as part of this process.

Legal noticePrivacy notice
Shutterstock
News + Trends
19437

New AI model from OpenAI is free and runs on laptops

Samuel Buchmann
7/8/2025
Translation: machine translated

GPT-OSS can be operated locally or in the cloud. The larger of the two variants is said to be roughly as powerful as OpenAI's proprietary o4-mini-LLM.

OpenAI has released GPT-OSS, an open-weight model for the first time in six years. It appears in two variants with 120 and 20 billion parameters and is freely available under the Apache 2.0 licence.

According to OpenAI, GPT-OSS performs particularly well in the areas of reasoning, tool utilisation and chain-of-thought. The models were trained using current methods that are also used in OpenAI's advanced proprietary systems. A focus is also placed on security: GPT-OSS has been tested by external expert groups, among others, to minimise risks such as misuse in the area of cybersecurity or bioweapons.

Open weight, not open source

GPT-OSS is thus positioning itself as an alternative to other open-weight models such as Meta's Llama 3 or DeepSeek, which can be operated both on consumer hardware and in the cloud. Open-weight models offer more transparency and control than proprietary models such as GPT-4o. However, training data and source code remain under lock and key.

A genuine open source counterpart to GPT-OSS comes from Switzerland: ETH Zurich and EPFL are working on a completely open language model that is due to be released in late summer 2025. It is based on up to 70 billion parameters. In contrast to GPT-OSS, source code and training data will be published alongside the weights. The Swiss model also emphasises compliance with data protection guidelines.

Header image: Shutterstock

194 people like this article

User Avatar
User Avatar
Samuel Buchmann
Senior Editor
Samuel.Buchmann@digitecgalaxus.ch

My fingerprint often changes so drastically that my MacBook doesn't recognise it anymore. The reason? If I'm not clinging to a monitor or camera, I'm probably clinging to a rockface by the tips of my fingers.

News + Trends

From the latest iPhone to the return of 80s fashion. The editorial team will help you make sense of it all.

Show all