In a post on X, Google DeepMind chief scientist Jeff Dean says the model is “trained to use thoughts to strengthen its reasoning,” and also benefits from the speed that comes along with the faster Gemini Flash 2.0 model. The demo shared by Dean shows how Gemini 2.0 Flash Thinking goes about answering a physics problem by “thinking” through a series of steps before offering a solution.

This isn’t necessarily “reasoning” in the way humans perform it, but it means the machine breaks down instructions into smaller tasks that can produce stronger outcomes.

Another example, posted by Google product lead Logan Kilpatrick, shows the model reasoning its way through a problem that involves both visual and textual elements. “This is just the first step in our reasoning journey,” Kilpatrick says. You can try out Gemini 2.0 Flash Thinking on Google’s AI Studio.