Accelerating Mathematical and Scientific Discovery with Gemini Deep Think

Gemini 3 Deep Think: Advancing science, research and engineering

Our most specialized reasoning mode is now updated to solve modern science, research and engineering challenges.

Gemini achieves gold-medal level at the International Collegiate Programming Contest World Finals

Gemini 2. 5 Deep Think achieves breakthrough performance at the world’s most prestigious computer programming competition, demonstrating a profound leap in abstract problem solving.

Try Deep Think in the Gemini app

We're rolling out Deep Think in the Gemini app for Google AI Ultra subscribers, and we're giving select mathematicians access to the full version of the Gemini 2. 5 Deep Think model entered into the IMO competition.

Gemini 2.5: Our most intelligent models are getting even better

Gemini 2. 5 Pro continues to be loved by developers as the best model for coding, and 2.

Gemini for Science: AI experiments and tools for a new era of discovery

A collection of science tools and experiments to expand the scale and precision of scientific exploration.

AI in Science: Early Insights

The paper "AI in Science: Early Insights" analyzes AI’s impact on scientific work using data from 15 million Gemini interactions, 2,600 specialized AI models, and a survey of 600 scientists. It finds widespread AI adoption, complementary use of large language models and specialized tools, significant productivity gains of about seven hours per week, and a shift in research bottlenecks toward hypothesis backlog and verification needs. The study suggests AI can boost scientific productivity but its full effect depends on addressing new downstream challenges.

Announcing our partnership with the Republic of Korea

Google DeepMind and Korea partner to accelerate scientific breakthroughs using frontier AI models

Building Deep Research: How we Achieved State of the Art

Early experiments in accelerating science with GPT-5

OpenAI introduces the first research cases showing how GPT-5 accelerates scientific progress across math, physics, biology, and computer science. Explore how AI and researchers collaborate to generate proofs, uncover new insights, and reshape the pace of discovery.

Structured Scaling of AI Discovery Across Diverse Scientific Domains

arXiv:2604. 19341v2 Announce Type: replace-cross Abstract: Scientific discovery often requires many cycles of proposing, testing, and refining candidate solutions.

Can LLMs extract scientific consensus? A case study in high-temperature superconductivity

arXiv:2606. 07570v1 Announce Type: cross Abstract: Scientific knowledge is increasingly dispersed across vast and heterogeneous scientific literature, where important claims are often implicit, evolving, and internally debated.

A new era of intelligence with Gemini 3