Gemini 3 is here – 3 things to know about the major AI update

Gemini on a smartphone.
(Image credit: Shutterstock/ Sadi-Santos)

  • Google's new Gemini 3 model is out to enhance all of Google's AI features.
  • The Gemini app has a new look, smarter reactions, and an agent to tackle more complex online tasks.
  • Search will use Gemini 3 to make interactive and visual responses to your more complex questions

Google has officially debuted Gemini 3, marking a major upgrade for its AI models and the platforms employing them. New reasoning modes, fresh app features, and an overhaul of the Google ecosystem that could change how people engage with Google products in day-to-day life. The new model arrives with its usual stack of benchmarks and leaderboards, but the more interesting part is what it means for those skeptical about whether they should experiment with AI.

Gemini 3 comes in two flavors: Gemini 3 Pro and Gemini 3 Deep Think. Pro is the everyday, full-featured version available immediately in apps, Search, and developer tools. Deep Think is the “enhanced reasoning” mode with an extra gear, currently in testing and destined for the deep-pocketed Google AI Ultra subscribers. But both share the same core.

1. Gemini 3 Power

Google is positioning Gemini 3 as a leap forward in reasoning, not just raw size or speed. The company likes to talk about AGI “steps” in cautious forecasts, but the tone around this release is plainly more confident. The company is keen to boast how well Gemini 3 can perform at everything from parsing and translating a handwritten recipe to being able to merge it with a voice note and write a cookbook from the combination.

That kind of multimodality is where Gemini 3 feels most transformed. The model’s video analysis now understands movement, timing, and other details. It can even analyze a sports game and suggest a training plan for players. And its million-token context window means it can keep track of sprawling, real-world information without falling apart halfway through a long session.

2. Gemini 3 in the Gemini app

Gemini 3 doesn’t arrive in isolation. The Gemini app is getting one of its largest overhauls, with a new interface navigation system and a “My Stuff” folder for every piece of AI-generated content you've prompted. The new app should feel more helpful by default, according to Google.

The most noticeable change is the new generative interfaces. Gemini 3 builds them in real time based on what you’re asking for instead of just using a template. As an example, Google suggested asking for help planning a vacation might produce a magazine-style itinerary complete with visuals. Or instead of a wall of text to answer a complicated question, you'd see a visually-heavy layout of diagrams, tables, and other illustrations.

The Gemini app is also getting an agent to act on your behalf. If you give Gemini a task that requires a few dozen steps, it can carry them out using your connected Google apps. The agent is starting with Google AI Ultra members and expanding from there.

3. Gemini 3 search

Gemini 3 is changing how Google handles complex questions. For the first time, a Gemini model is available in Search immediately, and Google is routing the toughest queries to it. U.S. Google AI Pro and Ultra subscribers will see Gemini 3 Pro in AI Mode, with broader access coming soon

Gemini 3 improves Google’s fan-out approach of searching multiple interpretations of your question to find relevant content. Gemini 3 understands intent deeply enough to discover material that earlier versions routinely missed.

The most striking upgrade is the new generative UI. When you ask a complex question, Gemini 3 constructs a layout with visuals, tables, grids, and even custom-coded interactive simulations to go with the answer. A question about the three-body problem produces a manipulable model. A question about loans generates a calculator tailored to the details you've included. Answers become more like small apps.

There are plenty of links to the source material as well, theoretically encouraging follow-ups by users. Google says this system will evolve, particularly as automatic model selection routes more queries to Gemini 3 behind the scenes.


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Eric Hal Schwartz
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Eric Hal Schwartz is a freelance writer for TechRadar with more than 15 years of experience covering the intersection of the world and technology. For the last five years, he served as head writer for Voicebot.ai and was on the leading edge of reporting on generative AI and large language models. He's since become an expert on the products of generative AI models, such as OpenAI’s ChatGPT, Anthropic’s Claude, Google Gemini, and every other synthetic media tool. His experience runs the gamut of media, including print, digital, broadcast, and live events. Now, he's continuing to tell the stories people want and need to hear about the rapidly evolving AI space and its impact on their lives. Eric is based in New York City.

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