Gemini 3: Multimodal AI within everyone’s reach

Artificial intelligence and the models of Gemini, Google’s AI, continue to evolve. The latest update is Gemini 3, the most advanced version yet, designed not only to process data, but to understand nuances and contexts like never before.

Gemini 3 launches at a time when AI Overviews have already reached 2 billion monthly users and the Gemini app itself has surpassed 650 million users. These figures were presented by Google at the Gemini 3 launch. 

Here’s everything you need to know about the next generation of Gemini , which promises to completely change the rules of the game. 

What is Google Gemini 3 AI?

To understand Gemini 3, it’s necessary to see how Google’s AI model has evolved since its inception. This is because each version has built upon the advancements of the previous one.

• Gemini 1: Expanded the variety and amount of information that AI could process.
• Gemini 2: Introduced the foundations for agents and advanced reasoning.
• Gemini 2.5 Pro: It remained the leader in the LMArena ranking for more than six months.

Gemini 3 brings together all this learning and becomes the most advanced reasoning model to date. As defined by the search engine itself, the creator of Gemini 3, this new model “is much better at figuring out the context and intent ” behind user requests. What does this mean? It means you’ll get a better response with a shorter prompt or fewer instructions. 

Google is clear that AI should be useful for everyone. That’s why, with Gemini 3, they are once again pushing the boundaries of personalisation and agent technology, taking them to an even more advanced level.

What can you do with Gemini 3?

Versatility is the key to this update. These are its most notable capabilities:

• Turn words into videos. Gemini 3 implements improvements to generate audiovisual content thanks to its latest video generation models.  
• Create images in seconds. Gemini integrates Nano Banana Pro , which generates new images and can also edit them. 
• Speak out loud with Gemini Live. Now you can make requests and have real-time conversations . 
• Manage tasks across multiple apps simultaneously . Now you can connect several tools to find more precise information. 
• Create custom Gems or experts. Save detailed instructions and files to train your AI expert to provide personalised answers. 
• Analyse large files. Thanks to its 1 million token context window, Gemini can process documents of up to 1500 pages or 30,000 lines of code at a time.
• Save time on research thanks to its Deep Research feature. Explore hundreds of websites and analyse vast amounts of information in minutes.

Main new features of Gemini 3

The premise of this launch is to offer Gemini at Google’s global scale from day one. This involves deep integration into the ecosystem, notably its arrival in AI Mode within Google Search, where it will offer more complex reasoning and new dynamic experiences. So, what’s new in Gemini 3? Here are some of the main advantages: 

Multimodal reasoning

In the Gemini 3 presentation, Demis Hassabis (CEO of Google DeepMind) and Koray Kavukcuoglu (CTO and Chief AI Architect) explained that this model becomes their most advanced system for multimodal understanding, reasoning, and code generation . What does this mean in practice? It means it can transform any idea into more complete, interactive, and accurate visual results.

Therefore, Gemini 3 can tackle complex problems with high reliability in a wide variety of areas, thanks to its advanced vision, spatial reasoning, and robust multilingual performance.

Let’s look at a couple of hypothetical examples: 

• A hotel chain can use Gemini 3 to analyse customer experience videos, multilingual reviews, and occupancy data. The model can generate personalised routes, interactive recommendation maps, or suggestions for improving the traveler experience based on patterns detected in the audiovisual material.
• A fashion brand can provide Gemini with 3 product photos, past campaigns, and sales data to generate visual prototypes of new collections, style combinations, and recommendations based on global trends.

More sophisticated analysis

Gemini 3’s responses are smarter, clearer, and more focused on what truly matters: providing useful and valuable information. Why? Because it has a greater capacity to analyse the context , not just the user’s request, allowing it to generate more complete and relevant responses. This opens up new ways of understanding information and expressing oneself creatively and effectively. 

Deep Thinking or deep thought

For seemingly impossible problems, there’s Gemini 3 Deep Think mode . This mode pushes performance to the limit, offering a radical shift in abstract reasoning and visual comprehension. Initially, it’s available to Google AI Ultra subscribers , who can access it from the tools menu when the “Thinking” model appears among the options.

Deep Think works through iterative rounds of analysis, allowing it to deliver more comprehensive visualisations, high-quality prototyping, and accurate solutions to complex problems.

Google Antigravity

With the arrival of Gemini 3, Google has decided to completely reinvent the programming and development experience . It has done so with Google Antigravity , a development environment based on Visual Studio Code. 

It’s not just a simple editor with added AI features; it ‘s a new agentic development platform where AI agents autonomously plan and execute complex end-to-end tasks . What makes it different?

• Transparency . As you work, generate walkthroughs (task lists, implementation plans, or verification routes) that allow you to validate your process and see that we are collaborating on the right path.
• Complete autonomy . Enables true multitasking. You can have multiple agents working in parallel (one investigating an API, another testing the interface in the browser) while you manage them from a centralised inbox.
• Dynamic feedback . It works like comments in Google Docs. If you see a mistake, you simply leave a note immediately to correct the agent’s course without interrupting their workflow. 

This evolution towards a more interactive web assisted by AI agents could influence how users discover and consume content, a factor that companies will need to take into account in their SEO strategies. 

¿Cómo empezar a usar Gemini 3?

Gemini 3 has been designed to be accessible to everyone , from everyday users to developers and businesses. In just two years, Google’s AI has evolved from simply reading text and images to interpreting context and environment in advanced ways. 

The arrival of Gemini 3 confirms that technology is advancing at a breakneck pace. However, having access to the best tools is only the first step; knowing how to apply them to the business world is what makes the difference.

At Redegal, we help you navigate these trends. We support your brand so it can grow securely and sustainably in this new context, transforming technical innovation into tangible business results. Because the magic isn’t just in AI, but in the strategic support to leverage it. Shall we talk?