Accelerating scientific discovery with ChatGPT for

What happened

We believe the benefits of frontier AI should not be concentrated in a few companies and well-resourced labs. Scientific progress depends on researchers asking the right questions, testing new ideas, and building on what others have discovered. Our role is to put powerful tools in their hands—and work alongside them to design models that accelerate their research while keeping them in control.

A growing number of papers now acknowledge ChatGPT’s contribution, reflecting how quickly researchers are adopting these tools in their work. Researchers use ChatGPT and Codex across nearly every stage of scientific work. ChatGPT helps researchers interrogate ideas, acquire knowledge, generate hypotheses, and communicate their findings. Codex supports research execution and formal analysis, including writing code and analyzing results. These patterns are showing up in research.

Physicist Rogerio Jorge and his team are using AI to develop open-source fusion research software used by industry and national laboratories to design fusion energy devices. 5 Pro to develop a proof establishing new limits on how efficiently computers can solve high-dimensional geometry problems, then validated and refined the results themselves. Researchers using these tools most intensively are also taking on more ambitious work.

5% among other researchers in the same field. Our strategy is not to decide which scientific problems deserve attention or try to solve them all ourselves. It is to put capable tools in the hands of the research community and let researchers pursue the questions they know best. 6⁠ family of models at launch. They will also have expanded deep research, higher usage limits, and larger context windows.

Why it matters

We’re introducing ChatGPT for Academic Researchers, a program that will give 100,000 researchers at selected academic institutions free access to our frontier models. The program will help researchers across the sciences, mathematics, and engineering take on advanced problems, accelerate discovery, and improve productivity, from preparing grant applications to testing hypotheses.

We’re starting with 10,000 researchers this summer, with access already available at institutions such as the Institute for Advanced Study (IAS) and École normale supérieure (ENS). We plan to expand to 100,000 researchers through 2027. 6⁠ Sol Pro at launch, and can invite up to four collaborators from their institution. Workspaces include business-grade privacy and security protections, and data is not used to train our models by default.

Researchers can use tools and skills to support work ranging from genomic analysis and protein modeling to literature reviews, grant writing, and publishing. The program also includes training, hands-on support, and opportunities to learn from other researchers and share feedback with us. For institutions with ChatGPT Edu, free access granted through this program will be coordinated through the institution's workspace.

Learn more about ChatGPT Edu and how OpenAI supports higher education. ChatGPT for Academic Researchers is part of a commitment of more than $250 million through 2027 to support external scientific research and discovery. That includes NextGenAI, our $50 million initiative supporting research institutions, and our work with the Department of Energy’s Genesis Mission⁠ to bring frontier AI to researchers at national laboratories and universities.

Together, these efforts reflect our belief that scientific progress accelerates when more researchers have the tools to pursue their own ideas. AI is becoming a more capable research tool faster than many expected. 4 million messages. The shift is especially visible in mathematics. In the past six months, AI has moved from occasional use on isolated problems to a more regular part of mathematical research.

What to watch

Together, these capabilities support scientific reasoning, agentic execution, and research workflows across disciplines. 6 Sol tackles the most difficult scientific and mathematical problems. 5. 5% of tasks. Researchers can use more than 75 life science skills⁠(opens in a new window) spanning genetics, genomics, sequencing, single-cell analysis, protein modeling, and drug discovery.

Connectors support research across disciplines, providing access to scientific literature, public genomic and clinical databases, satellite imagery, computational notebooks, data platforms, and reference managers.