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Model details

Nano Banana

Nano Banana is Google's image generation and editing model designed to transform text descriptions and existing images into polished visual content. Built within the Gemini family, this model focuses on practical creative work rather than experimental generation—supporting tasks like creating mockups, posters, infographics, and diagrams that require legible text and accurate visual representation. Its text rendering capabilities extend across multiple languages, making it useful for global marketing teams needing localized content. The model is accessible through Android devices, Adobe Firefly, and various Google products, positioning it as a bridge between AI image generation and mainstream creative workflows used by designers at Adobe, Canva, and Figma.

The model balances professional output quality with speed, delivering what sources describe as "Pro-level visual quality at Flash speed" with sharp textures, rich lighting, and clean detail. Nano Banana 2 API expands capabilities to include native 4K output and unusual aspect ratios like 4:1 and 8:1, catering to developers creating marketing banners, cinematic scenes, and social media visuals. Major design platforms have already integrated the technology, indicating strong practical utility in real production environments. The model's focus on studio-quality results with unprecedented control suggests it prioritizes reliability and consistency for business use cases over raw creative experimentation, making it particularly suitable for teams needing dependable image generation that fits into established creative pipelines.

Googlegemini-2.5-flash-imagegemini-flash

Quick Info

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Provider
Google
Model key
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
$30.00

Limits

Output tokens
32,768 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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