Today, we are releasing a major upgrade to Gemini 3 Deep Think, our specialized reasoning mode designed to tackle modern challenges in science, research, and engineering. This update is the result of close collaboration with scientists and researchers to address problems that often lack clear boundaries or a single correct solution, with messy or incomplete data. By blending deep scientific knowledge with everyday engineering utility, Deep Think moves beyond abstract theory to drive practical applications.
The new Deep Think is now available in the Gemini app for Google AI Ultra subscribers, and for the first time, we are also making Deep Think accessible via the Gemini API to select researchers, engineers, and enterprises. Here are how our early testers are using the latest Deep Think:
- Lisa Carbone, a mathematician at Rutgers University, used Deep Think to review a highly technical mathematics paper related to high-energy physics, successfully identifying a subtle logical flaw that had gone unnoticed during human peer review.
- At Duke University, the Wang Lab utilized Deep Think to optimize fabrication methods for complex crystal growth, successfully designing a recipe for growing thin films larger than 100 μm, meeting a precise target that previous methods struggled to hit.
- Anupam Pathak, an R&D lead in Google’s Platforms and Devices division, tested the new Deep Think to accelerate the design of physical components.
Elevating Reasoning with Mathematical and Algorithmic Rigor
Last year, we demonstrated that specialized versions of Deep Think could successfully navigate some of the toughest reasoning challenges, achieving gold-medal standards at math and programming world championships. The updated Deep Think continues to push the frontiers of intelligence, reaching new heights across rigorous academic benchmarks, including:
- Setting a new standard (48.4%, without tools) on Humanity’s Last Exam;
- Achieving an unprecedented 84.6% on ARC-AGI-2, verified by the ARC Prize Foundation;
- Attaining a staggering Elo of 3455 on Codeforces, a benchmark consisting of competitive programming challenges;
- Reaching gold-medal level performance on the International Math Olympiad 2025.
Breakthroughs in Scientific Domains
Beyond mathematics and competitive coding, Gemini 3 Deep Think now excels across broad scientific domains such as chemistry and physics. Our updated Deep Think mode demonstrates gold medal-level results on the written sections of the 2025 International Physics Olympiad and Chemistry Olympiad, and it shows proficiency in advanced theoretical physics, achieving a score of 50.5% on CMT-Benchmark.
Accelerating Real-World Engineering Applications
In addition to its state-of-the-art performance, Deep Think is built to drive practical applications, enabling researchers to interpret complex data and engineers to model physical systems through code. Most importantly, we are working to bring Deep Think to researchers and practitioners where they need it most — starting with surfaces such as the Gemini API.
With the updated Deep Think, you can turn a sketch into a 3D-printable reality. Deep Think analyzes the drawing, models the complex shape, and generates a file to create the physical object with 3D printing.
Google AI Ultra subscribers will be able to access the updated Deep Think mode starting today in the Gemini app. Scientists, engineers, and enterprises can also now express interest in our early access program to test Deep Think via the Gemini API. We can’t wait to see what you discover.
Blogger's Review: The update of Gemini 3 Deep Think not only enhances reasoning capabilities but also showcases its strong potential in practical applications, especially in scientific research and engineering design. Through deep collaboration with users, the tool's usability and accuracy have significantly improved, making it a noteworthy development to watch for.