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Google is beginning to launch Gemini 3 today, a new series of models the company says is its “most intelligent” and “factually accurate” AI systems yet. They’re also a chance for Google to leap ahead of OpenAI following the rocky launch of GPT-5, potentially putting the company at the forefront of consumer-focused AI models.
For the first time, Google is giving everyone access to its new flagship AI model — Gemini 3 Pro — in the Gemini app on day one. It’s also rolling out Gemini 3 Pro to subscribers inside Search. Tulsee Doshi, Google DeepMind’s senior director and head of product, says the new model will bring the company closer to making information “universally accessible and useful” as its search engine continues to evolve.
“I think the one really big step in that direction is to step out of the paradigm of just text responses and to give you a much richer, more complete view of what you can actually see.”
Gemini 3 Pro’s enhanced coding capabilities allow it to generate better visuals. GIF: Google
Gemini 3 Pro is “natively multimodal,” meaning it can process text, images, and audio all at once, rather than handling them separately. As an example, Google says Gemini 3 Pro could be used to translate photos of recipes and then transform them into a cookbook, or it could create interactive flashcards based on a series of video lectures.
You’ll spot some of these improvements across Google’s suite of products, including the Gemini app, where you can build more “full-featured” programs inside the built-in workspace, Canvas. The upgraded AI model will also enable “generative interfaces,” a tool Google is testing in Gemini Labs that allows Gemini 3 Pro to create a visual, magazine-style format with pictures you can browse through, or a dynamic layout with a custom user interface tailored to your prompt.
An experimental “Dynamic View” in the Gemini app creates a webpage-like experience for certain queries. GIF: Google
Gemini 3 Pro in AI Mode — the AI-powered Google Search feature — will similarly present you with visual elements, like images, tables, grids, and simulations based on your query. It’s also capable of performing more searches using an upgraded version of Google’s “query fan-out technique,” which now not only breaks down questions into bits it can search for on your behalf, but is better at understanding intent to help “find new content that it may have previously missed,” according to Google’s announcement.
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