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.

Peserta bakal entuk akses gratis menyang model tercanggih kita ing ChatGPT, ChatGPT Work, lan Codex, kalebu kulawarga model GPT‑5.6⁠ nalika diluncurake. Peserta uga bakal entuk panaliten jero sing luwih jembar, wates panggunaan luwih dhuwur, lan jendhela konteks luwih gedhe. Kapabilitas kasebut bebarengan ndhukung nalar ilmiah, pelaksanaan kanthi agen, lan alur kerja riset ing macem-macem disiplin.

GPT‑5.6 Terra ngimbangi kapabilitas lan efisiensi kanggo riset saben dina, GPT‑5.6 Luna menehi wangsulan luwih cepet kanggo tugas sing luwih entheng, lan GPT‑5.6 Sol ngrampungake masalah ilmiah lan matematika sing paling angel. Ing FrontierMath Tier 4, sing ngukur nalar matematika tingkat riset, GPT‑5.6 Sol ngolehake skor 83%, dibandhingake 72,5% kanggo GPT‑5.5. Ing GeneBench Pro, sing ngevaluasi analisis data biologi kompleks lan nalar ilmiah, GPT‑5.6 Sol Pro bisa ngrampungake 31,5% tugas.

Peneliti bisa nggunakake luwih saka 75 katrampilan ilmu hayati⁠(mbukak ing jendhela anyar) sing nyakup genetika, genomika, sekuensing, analisis sel tunggal, pemodelan protein, lan panemuan obat. Konektor ndhukung riset ing macem-macem disiplin kanthi menehi akses menyang pustaka ilmiah, basis data genom lan klinis umum, citra satelit, notebook komputasional, platform data, lan pangelola referensi.

Codex bisa mbantu nulis lan ndandani kode, nganalisis set data, lan nggawe alur kerja sing bisa diprodhuksi maneh. ChatGPT Work bisa ndhukung proyek jangka luwih dawa, kayata nggoleki kesempatan pendanaan, nyiapake pengajuan dana riset, nliti pustaka, nyusun naskah, lan nggawe materi kanggo ngandharake asil.

Saben peneliti bakal duwe tingkat pengalaman awal sing beda-beda babagan AI. Sawetara bisa uga sepisanan nggunakake piranti iki; liyane bisa uga wis ngembangake aplikasi tingkat lanjut ing bidange.

Program iki bakal nawakake pelatihan sing dicocogake karo tingkat pengalaman, wiwit saka cara miwiti lan ningkatake alur kerja nganti aplikasi riset tingkat lanjut. Peserta bakal entuk akses menyang spesialis sing ngerti alur kerja riset, kalebu bantuan kanggo nggabungake piranti kasebut menyang pakaryane.

Nalika ndeleng panemuan para peneliti, kita ngrancang nggawe luwih akeh kesempatan supaya peneliti bisa nuduhake cara praktis, sinau saka siji lan sijine, lan nyorot panggunaan ing macem-macem disiplin. Tanggapan kasebut bakal mbantu kita mangerteni ing ngendi model kita migunani, ing ngendi isih kurang, lan carane nggawe model kasebut luwih migunani kanggo komunitas riset.

Program awal iki kabuka kanggo peneliti sing nyukupi syarat ing institusi akademis pilihan. Institusi sing layak⁠(mbukak ing jendhela anyar) kudu arupa perguruan tinggi utawa universitas sing diakoni, menehi gelar, lan nduweni tingkat aktivitas riset sing dhuwur.

Pelamar kudu verifikasi afiliasi institusine lan menehi informasi babagan riset aktif sarta rencana panggunaan kanggo tujuan ilmiah. Peneliti sing disetujoni bisa ngundang nganti patang kolaborator saka institusine. Saben kolaborator uga kudu verifikasi afiliasine lan bakal dietung ing jumlah total akun program.

Pendaftaran dibukak wiwit dina iki. Sampeyan bisa mriksa kritéria kelayakan lan ndhaptar ing kene⁠(mbukak ing jendhela anyar).