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.

Gemini Diffusion is a new AI model by Google DeepMind that transforms jumbled inputs into coherent text or code at record speed. It is currently in the testing phase.

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.

Google has launched a new Gemini AI Ultra AI subscription that costs $250 per month: Here's what you get from the most expensive tier.

Tech giant Google introduced a suite of powerful generative tools while adding hefty price tags for premium access.

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.

What You Need to Know About Google Beam. So when I heard Gemini beat Pokemon Blue, I was excited to revisit this piece of my childhood. And as I thought about this mile

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.