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Model details

Nano Banana

Nano Banana is Google's image generation and editing model designed to make AI-powered visual creation accessible and fast. Built on the Gemini flash family, it brings the deep reasoning capabilities of the Gemini architecture to image synthesis, meaning it works to genuinely understand what you're asking for before producing visuals. This grounding in a large multimodal model gives it an edge in interpreting complex or nuanced prompts accurately. The model supports both text-to-image and image-to-image workflows, allowing users to generate new visuals from scratch, reimagine existing ones, or apply styles from reference photos. Its design philosophy prioritizes speed alongside quality, making it suitable for iterative creative exploration on mobile devices and desktop platforms alike.

Nano Banana traces its lineage through the Gemini 3 family of image models, benefiting from advancements in multimodal reasoning and visual synthesis developed across Google's AI portfolio. The model is available across Google's ecosystem, including integration with Adobe Firefly as a partner model, the Gemini Android app, Google Ads, and Google AI Studio. Practical applications span from simple AI photo editing on smartphones to generating context-rich graphics like infographics, diagrams, and marketing visuals. The model can incorporate real-time information via Search grounding and supports creative controls like style transfer, lighting adjustments, and camera transformations. It also works alongside other Google creative models such as Veo for video and Lyria for music generation, creating a broader creative toolkit for users who need both image and multimedia capabilities.

OpenRoutergoogle/gemini-2.5-flash-imagegemini-flash

Quick Info

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Provider
OpenRouter
Model key
google/gemini-2.5-flash-image
Release date
Aug 26, 2025
Last updated
Aug 26, 2025
Knowledge cutoff
2024-06
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.30
Output token cost
$2.50

Limits

Output tokens
8,192 tokens
Context window
32,768 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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