OpenAI

Acknowledgements We thank the International Mathematical Olympiad organization for their support. This project was a large-scale collaboration, and its success is due to the combined efforts of many individuals and teams. Thang Luong led the overall technical direction for IMO 2025 effort and co-led with Edward Lockhart on the overall coordination. The leads and key…

Science Published 4 September 2025 …

Science Published 30 July 2025 …

Today in the Gemini app, we're unveiling a new image editing model from Google DeepMind. People have been going bananas over it already in early previews — it's the top-rated image editing model in the world. Now, we're excited to share that it's integrated into the Gemini app so you have more control than ever…

Current AI benchmarks are struggling to keep pace with modern models. As helpful as they are to measure model performance on specific tasks, it can be hard to know if models trained on internet data are actually solving problems or just remembering answers they've already seen. As models reach closer to 100% on certain benchmarks,…

The last few months have been an exciting time for the Gemma family of open models. We introduced Gemma 3 and Gemma 3 QAT, delivering state-of-the-art performance for single cloud and desktop accelerators. Then, we announced the full release of Gemma 3n, a mobile-first architecture bringing powerful, real-time multimodal AI directly to edge devices. Our…

Acknowledgments Genie 3 was made possible due to key research and engineering contributions from Phil Ball, Jakob Bauer, Frank Belletti, Bethanie Brownfield, Ariel Ephrat, Shlomi Fruchter, Agrim Gupta, Kristian Holsheimer, Aleks Holynski, Jiri Hron, Christos Kaplanis, Marjorie Limont, Matt McGill, Yanko Oliveira, Jack Parker-Holder, Frank Perbet, Guy Scully, Jeremy Shar, Stephen Spencer, Omer Tov, Ruben…

Science Published 7 August 2025 …

How Deep Think works: extending Gemini’s parallel “thinking time” Just as people tackle complex problems by taking the time to explore different angles, weigh potential solutions, and refine a final answer, Deep Think pushes the frontier of thinking capabilities by using parallel thinking techniques. This approach lets Gemini generate many ideas at once and consider…

Today, we’re releasing the stable version of Gemini 2.5 Flash-Lite, our fastest and lowest cost ($0.10 input per 1M, $0.40 output per 1M) model in the Gemini 2.5 model family. We built 2.5 Flash-Lite to push the frontier of intelligence per dollar, with native reasoning capabilities that can be optionally toggled on for more demanding…