Accelerating scientific discovery with ChatGPT for Academic Researchers

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.

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. Participants will have access to our frontier models, including GPT‑5.6⁠ 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. Each week, roughly 1.3 million people use ChatGPT for advanced science and mathematics, generating about 8.4 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. 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. In theoretical computer science, researchers Barna Saha, Yinzhan Xu, and Christopher Ye used GPT‑5.5 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. Those in the top 20% of AI usage within their field are almost twice as likely as their peers to ask AI to take on tasks estimated to require four hours or more: nearly 7% of their requests, compared with 3.5% 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.

Osalejad saavad ChatGPT‑s, ChatGPT Workis ja Codexis tasuta juurdepääsu meie tipptasemel mudelitele, sealhulgas programmi käivitamisel mudeliperele GPT‑5.6⁠. Samuti saavad nad kasutada laiendatud süvauuringut, suuremaid kasutuslimiite ja avaramaid kontekstivaateid. Need võimalused toetavad eri valdkondades teaduslikku arutlust, agentselt ülesannete täitmist ja uurimistöövooge.

GPT‑5.6 Terra tasakaalustab igapäevases uurimistöös võimekust ja tõhusust, GPT‑5.6 Luna vastab lihtsamatele ülesannetele kiiremini ning GPT‑5.6 Sol lahendab kõige keerukamaid teadus- ja matemaatikaprobleeme. Teadustasemel matemaatilist arutlust mõõtva FrontierMathi 4. taseme testis saavutab GPT‑5.6 Sol 83%, võrreldes GPT‑5.5 tulemusega 72,5%. Keerukat bioloogiliste andmete analüüsi ja teaduslikku arutlust hindavas GeneBench Pros lahendab GPT‑5.6 Sol Pro 31,5% ülesannetest.

Teadlased saavad kasutada enam kui 75 bioteaduste oskust⁠(avaneb uues aknas), mis hõlmavad geneetikat, genoomikat, sekveneerimist, üksikrakuanalüüsi, valkude modelleerimist ja ravimiarendust. Konnektorid toetavad valdkondadeülest uurimistööd, andes juurdepääsu teaduskirjandusele, avalikele genoomi- ja kliinilistele andmebaasidele, satelliidipiltidele, arvutusmärkmikele, andmeplatvormidele ja viitehalduritele.

Codex aitab kirjutada ja siluda koodi, analüüsida andmestikke ning luua korratavaid töövooge. ChatGPT Work võib toetada pikemaid projekte, nagu rahastusvõimaluste leidmine, granditaotluste koostamine, kirjanduse ülevaatamine, käsikirjade ettevalmistamine ja tulemusi tutvustavate materjalide loomine.

Teadlaste senine kokkupuude tehisintellektiga on erinev. Mõni võib neid tööriistu kasutada esimest korda, teine aga juba arendada oma valdkonnas täiustatud rakendusi.

Programm pakub eri kogemustasemetele kohandatud koolitusi alates esimestest sammudest ja töövoogude täiustamisest kuni keerukate teadusrakendusteni. Osalejad saavad pöörduda uurimistöövooge tundvate spetsialistide poole, kes aitavad muu hulgas neid tööriistu töösse lõimida.

Teadlaste avastuste põhjal kavatseme luua rohkem võimalusi praktiliste lähenemisviiside jagamiseks, üksteiselt õppimiseks ja valdkondade kasutusviiside tutvustamiseks. Nende tagasiside aitab meil mõista, kus meie mudelid on kasulikud, kus jääb neil võimekusest puudu ja kuidas muuta need teadlaskonnale väärtuslikumaks.

Programmi esimene etapp on avatud nõuetele vastavatele teadlastele valitud akadeemilistes asutustes. Sobivad asutused⁠(avaneb uues aknas) peavad olema tunnustatud ja suure teadusaktiivsusega kolledžid või ülikoolid, millel on õigus anda akadeemilisi kraade.

Taotlejad peavad kinnitama oma seotuse asutusega ning esitama teavet käimasoleva uurimistöö ja tehisintellekti kavandatava teadusliku kasutuse kohta. Heakskiidetud teadlased võivad kutsuda kuni neli kaastöötajat oma asutusest. Ka iga kaastöötaja peab kinnitama oma seotust asutusega ning tema konto arvestatakse programmi kontode koguarvu hulka.

Kandideerimine on nüüd avatud. Sobivuskriteeriumidega saad tutvuda ja kandideerida siin⁠(avaneb uues aknas).