Google is pushing its image-generation lineup further into professional creative work with Nano Banana Pro, a new model that brings higher output quality, more control, and broader product integration than the earlier Nano Banana model.
The upgrade is not just about making sharper pictures. Google is positioning Nano Banana Pro as a tool for users who need more precise image editing, better text inside images, and workflows that connect generation with web-based information.
A More Capable Image Model Built on Gemini 3
Nano Banana Pro is built on Google’s latest large language model, Gemini 3, which was released earlier this week. According to Google, the new model improves on Nano Banana by producing more detailed images and rendering text more accurately.
That text capability matters because image generators have often struggled when asked to create readable words inside a visual. Google says Nano Banana Pro can generate text in different styles, fonts, and languages, which makes it more useful for materials such as educational graphics, presentation visuals, and other image formats where text is part of the design.
The model also adds web-searching capabilities. Google gives the example of asking it to look up a recipe and then generate flash cards, showing how the model can combine information retrieval with image creation in a single task.
More Control for Professional Image Work
Google says Nano Banana Pro is geared toward giving professionals more control over images. The model lets users direct visual choices such as camera angles, scene lighting, depth of field, focus, and color grading.
Those controls are important because professional image generation is often less about a single prompt and more about refinement. A user may need an image to match a particular layout, visual direction, or production requirement. By exposing more control over how a scene is composed and finished, Nano Banana Pro is aimed at workflows where consistency and precision matter.
Resolution is another major difference. Nano Banana had a resolution cap of 1024 x 1024px, while Nano Banana Pro can generate 2K or 4K images. That gives users more room to create visuals intended for larger formats or more detailed presentation.
The model can also use six high-fidelity shots or blend up to 14 objects within an image. Google says it can maintain consistency and resemblance of up to five people, which is especially relevant when users need a generated image to preserve recognizable subjects across a composition.
Better Output Comes With Higher Cost
Google noted that Nano Banana Pro is slower and costlier than the original model, even as it can generate images at a higher quality. The original model cost $0.039 per 1024px image.
By comparison, Nano Banana Pro costs $0.139 for each 1080p or 2K image, and $0.24 for every 4K image. That pricing makes the trade-off clear: the new model is designed for users who value the added capability enough to accept higher cost and slower generation.
For casual use, the original Nano Banana model may still be sufficient after a limited number of Nano Banana Pro generations. For users working on more demanding image tasks, the higher-resolution output and additional controls may justify using the newer model.
Where Nano Banana Pro Is Available
Google is rolling Nano Banana Pro into many of its existing AI tools. The Gemini app will now use the new model to generate images by default.
Users on the free subscription tier will be able to generate a limited number of images with Nano Banana Pro. After that, they will be defaulted to the original Nano Banana model.
Google AI Plus, Pro, and Ultra subscribers will receive higher-generation thresholds, although Google did not disclose the exact limits. These subscribers will also get access to Nano Banana Pro inside NotebookLM.
The model is also coming to search through AI mode for AI Pro and Ultra subscribers in the U.S. Ultra subscribers can access it in Flow, Google’s video tool, and Workspace customers can use it in Google Slides and Vids.
Developers can access Nano Banana Pro through the Gemini API, Google AI Studio, and Antigravity, Google’s new IDE. Google has also released a demo app where users can try some of the model’s capabilities.
Watermarking and Image Verification
Alongside the new model, Google is adding SynthID to the Gemini app. SynthID is Google’s technology for watermarking and detecting AI-generated images.
With this feature, users can upload an image to Gemini and ask the chatbot whether the image was created or modified by Google’s image models. That gives users a way to check images connected to Google’s own generation systems.
Google also said that over time, it will include support for C2PA content credential detection for content verification. That points to a broader effort to help users understand the origin and modification history of digital images.
Nano Banana Pro shows where Google is taking image generation next: higher-resolution visuals, more detailed editing control, stronger text handling, and tighter connections across Gemini, search, Workspace, developer tools, and verification systems. The model is more expensive and slower than its predecessor, but Google is clearly aiming it at users who need more than quick image creation.