Gemini 2.0 Flash Thinking unlocks a critical new reasoning step in the model execution process that is needed to continue hill climbing on the most difficult problems. Join Jack Rae for a deep dive on our latest thinking models, how to use them to their full capability as a developer, interesting use cases to explore with reasoning, and where we are going next with reasoning.

Language models have already evolved to do much more than language tasks, principally in the domain of image, audio, and soon video. Join Mostafa Dehghani to explore the emergent frontier of multimodal generation, what Gemini’s world knowledge unlocks that domain specific models cannot create, and how developers should be thinking about AI as a next-generation creative partner.

Gemini was built from the ground up to support our breakthrough long context window, with up to 2 million tokens in our largest models. Join Nikolay Savinov to explore how to get the most out of long context and what a world of infinite context might look like.

Gemini models were built from the ground up to be multimodal, which has enabled a new frontier of applications that were not possible cost- and performance-wise. Join Jean-Baptiste Alayrac and Anirudh Baddepudi to explore how Gemini is enabling an entirely new computer vision ecosystem powered by large language models (LLMs), where the models show the strongest potential, and how to get the most out of Gemini for vision use cases.