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## Google Gemini Flash Nano Banana
Today, we’re excited to introduce Gemini 2.5 Flash Image (aka nano-banana), our state-of-the-art image generation and editing model. This update enables you to blend multiple images into a single image, maintain character consistency for rich storytelling, make targeted transformations using natural language, and use Gemini's world knowledge to generate and edit images.
When we first launched native image generation in Gemini 2.0 Flash earlier this year, you told us you loved its low latency, cost-effectiveness, and ease of use. But you also gave us feedback that you needed higher-quality images and more powerful creative control.
This model is available right now via the Gemini API and Google AI Studio for developers and Vertex AI for enterprise. Gemini 2.5 Flash Image is priced at $30.00 per 1 million output tokens with each image being 1290 output tokens ($0.039 per image). All other modalities on input and output follow Gemini 2.5 Flash pricing.
## Gemini 2.5 Flash Image in action
To make building with Gemini 2.5 Flash Image even easier, we have made significant updates to Google AI Studio’s “build mode” (with more updates to come). In the examples below, not only can you quickly test the model’s capabilities with custom AI powered apps, but you can remix them or bring ideas to life with just a single prompt. When you are ready to share an app you built, you can deploy right from Google AI Studio or save the code to GitHub.
Try a prompt like “Build me an image editing app that lets a user upload an image and apply different filters" or choose one of the preset templates and remix it, all for free!
Maintain character consistency
A fundamental challenge in image generation is maintaining the appearance of a character or object across multiple prompts and edits. You can now place the same character into different environments, showcase a single product from multiple angles in new settings, or generate consistent brand assets, all while preserving the subject.
We built a template app in Google AI Studio (that you can easily customize and vibe code on top of) to demonstrate the model’s character consistency capabilities.
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