OpenAI grants 100,000 researchers free access to its newest model
OpenAI is launching a new programme that provides 100,000 academic researchers with free access to GPT-5.6 Sol Pro. The offer corresponds to a subscription worth 200 dollars per month, though model weights remain closed.
What happened?
OpenAI is launching a new initiative called 'ChatGPT for Academic Researchers' which provides 100,000 academic researchers with free access to GPT-5.6 Sol Pro. Each approved participant receives the equivalent of a ChatGPT Pro subscription, worth approximately 200 dollars per month, at no cost. The access provides higher usage limits, expanded research features, and larger context windows, but does not include the model's weights.
Key facts
| Antal forskare | 100 000 |
|---|---|
| Modell | GPT-5.6 Sol Pro |
| Värde per deltagare | 200 USD/månad |
| Slutår för utrullning | 2027 |
Why it matters
The initiative aims to accelerate scientific progress by providing academics with access to the company's most advanced AI tools. At the same time, OpenAI maintains control over the technology by keeping the model's weight codes locked, marking a continued departure from open-source approaches in commercial cutting-edge AI.
Who is affected?
The programme is targeted at qualified faculty members and postdoctoral researchers at institutions with high research activity. Research institutes such as Princeton's Institute for Advanced Study and the French École normale supérieure are among the first to receive access.
Impact on the EU
One of the first institutes to receive access is the French École normale supérieure, indicating that the programme is also being rolled out to researchers within the EU. However, it remains to be seen how OpenAI will navigate future regulatory requirements under the EU AI Act regarding high-risk models.
What else you should know
The programme covers ChatGPT Pro functionality but does not include open model weights. This means that researchers can utilise the model's capacity for analysis and simulation, but cannot examine its underlying architecture in depth.
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