Google AI Studio began as a developer sandbox for the Gemini API. By late 2025 it has grown into a general-purpose workspace where a user can chat with Google’s latest models, generate and edit images, create short videos, share a camera or screen with the model in real time, and build working web apps by describing them in plain language. Most of this is available at no cost with a Google account, which is a large part of why the platform keeps coming up in discussions of Gemini and of Google’s Nano Banana image model.
How it is laid out
The interface is organized around a left-hand navigation. Chat is the main conversation view. Build is where apps are created. A documentation section links to the Gemini API reference, and a model picker lets the user choose which model handles a given task. The layout can look busy at first, but the logic is that everything sits in one place rather than in separate products.
Choosing a model matters more here than in a consumer chatbot. Google offers several Gemini variants tuned for different goals: some for detailed reasoning, some for speed and low cost, and separate models for image and video generation. Picking the right one for the job produces noticeably better results.
Images: generation and precise edits
Two image models are exposed in AI Studio. Imagen 4, including its Ultra tier, is Google’s dedicated text-to-image model, with controls for aspect ratio, resolution and the number of outputs, and with stronger rendering of text inside images than earlier generations. Nano Banana, the nickname for Gemini’s native image model, is aimed at editing: it can change a specific element of an existing picture, such as glasses, clothing, a color or a background, while leaving the rest of the image untouched. Google positions the two as complementary, and both can be tried for free within usage limits.
Live sessions
The Live feature lets a user stream their camera or screen to Gemini and talk to it by voice. Google demonstrates it for situations where typing is impractical, such as following a recipe with messy hands, or for getting help with software on screen, where the model can see the interface and point to the relevant control. Because it works for both everyday users and developers debugging an app, it has become one of the platform’s most-cited capabilities.
Video
Video generation runs through Google’s Veo family. The newest model, Veo 3.1, is available through the paid Gemini API, while a more limited video option has been offered inside the free experience. The free output is simple compared with the API model, but it gives users a way to test video generation without a billing account.
Build mode
Build is the section Google is promoting hardest. A user types a description of an app, game or tool on the left, and a running version appears on the right, ready to use, edit and deploy. Google’s documentation calls this vibe coding: directing the model to build software by describing what it should do rather than writing the code by hand. Forms, small games, automation scripts and simple web apps are the typical examples, and finished apps can be deployed to Google Cloud or exported to GitHub.
A related feature, system instructions, lets the user set a persistent persona or set of rules for a chat session, such as answering as a teacher, an editor or a coach, so that the instruction does not have to be repeated in every message.
Why it matters
AI Studio is Google’s answer to a practical question: how to get people using its models without first asking them to write code or pay. By putting the newest Gemini, Imagen, Nano Banana and Veo models behind one free interface, Google is lowering the barrier for people who want to learn these tools, and collecting feedback on them at the same time. For anyone trying to understand what current AI systems can do, it is one of the cheapest places to start.
