The difference between the two plans centers mainly on the usage limits for AI tools and access to bleeding-edge technology. Google AI Ultra has much higher limits, meaning if you

Google’s Gemini Diffusion demo didn’t get much airtime at I/O, but its blazing speed—and potential for coding—has AI insiders speculating about a shift in the model wars.

Google’s AI models are learning to reason, wield agency, and build virtual models of the real world. The company’s AI lead, Demis Hassabis, says all this—and more—will be needed for true AGI.

Google Flow is a new tool that builds on Imagen 4 and Veo 3 to perform tasks like creating AI video clips and stitching them into longer sequences, or extending them, with a single prompt while keeping them consistent from scene to scene. It also provides editing tools like camera controls. It's available as part of Gemini AI Ultra.

On Tuesday at Google I/O 2025, the company announced Deep Think, an “enhanced” reasoning mode for its flagship Gemini 2.5 Pro model. Deep Think allows the model to consider multiple answers to questions before responding, boosting its performance on certain benchmarks.

Gemini 2.5 Flash plays the role of the default model in the Gemini chatbot now. It's supposed to be the fast, cost-efficient model for daily use. Google says it’s better than its predecessors, like Gemini 2.0 Flash, in terms of understanding images and text while still being much cheaper to run.

Google’s AI models have a secret ingredient that’s giving the company a leg up on competitors like OpenAI and Anthropic. That ingredient is your data, and it’s only just scratched the surface in terms of how it can use your information to “personalize” Gemini’s responses.

Ads are coming to Google AI Mode and to AI Overviews on desktop.