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Nano Banana Pro (Gemini 3 Pro Image)

Nano Banana Pro (Gemini 3 Pro Image) (Nano Banana Pro) is Google's advanced native image generation model built for professional and creative workflows, with accurate diagram labeling, web-search-grounded imagery, and higher resolution output.

Image GenWeb SearchImplicit Caching
index.ts
import { generateText } from 'ai'
const result = await generateText({
model: 'google/gemini-3-pro-image',
prompt: 'Render a picture of a red balloon.',
});

Playground

Try out Nano Banana Pro (Gemini 3 Pro Image) by Google. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.

google logo
Prompt
Describe what you want the model to generate.
Need inspiration?
Reference images(optional)
Images to generate
Aspect ratio
Resolution
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Your generated image will appear here

Providers

Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.

Provider
Context
Latency
Throughput
Input
Output
Cache
Web Search
Per Query
Capabilities
ZDR
No Training
Release Date
Google
66K
10.7s
96tps
$2.00/M$12.00/M
Read:$0.2/M
Write:—
$14.00/K
+ input costs
—
+1
09/01/2025
Google Vertex AI
66K
5.0s
246tps
$2.00/M$12.00/M
Read:$0.2/M
Write:—
$14.00/K
+ input costs
—
+1
09/01/2025
Throughput

P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.

Latency

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the docs for more info.

Uptime

Direct request success rate on AI Gateway and per-provider. Visit the docs for more info.

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Input
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Cache
Web Search
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Capabilities
Providers
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About Nano Banana Pro (Gemini 3 Pro Image)

Nano Banana Pro (Gemini 3 Pro Image) (internally codenamed Nano Banana Pro) is Google's image generation model for professional and creative use cases that demand more than basic image synthesis. It has three headline capabilities: accurate label generation in diagrams and charts, integration of Google web search to ground images in up-to-date real-world information, and higher resolution output with higher multi-image input limits for complex compositing.

The diagram and labeling capability is particularly significant for technical teams. Generating an architectural diagram, data pipeline schematic, or annotated system map with accurate text labels has historically been a weak point for image models. Nano Banana Pro (Gemini 3 Pro Image) handles these workflows directly.

Unlike dedicated image generation APIs, Nano Banana Pro (Gemini 3 Pro Image) is a multimodal model that outputs both text and images through generateText. A single request can return a written description, a diagram, and explanatory annotations together. This makes it suitable for documentation generation, creative briefing, and technical illustration workflows where you need mixed-media output.

What To Consider When Choosing a Provider

  • Configuration: Because this is a multimodal model that uses generateText (not generateImage) for image output, ensure your integration handles both result.text and result.files in the response when processing generated images.
  • Zero Data Retention: AI Gateway supports Zero Data Retention for this model via direct gateway requests (BYOK is not included). To configure this, check the documentation.
  • Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.

When to Use Nano Banana Pro (Gemini 3 Pro Image)

Best For

  • Labeled technical diagrams: Generating architecture charts and data flow visualizations with accurate labeling
  • High-resolution creative workflows: Requiring higher resolution images and multi-image compositing
  • Web-search-grounded imagery: Applications that need image generation grounded in current real-world information via web search
  • Mixed-media pipelines: A single request should return both explanatory text and accompanying images
  • Professional design and documentation: Workflows where image quality must match that of prior-generation flagship models

Consider Alternatives When

  • Pure image generation: You need images without text output (consider google/imagen-4.0-generate-001 or google/imagen-4.0-ultra-generate-001)
  • Language-only reasoning: Your use case has no image generation requirement (consider google/gemini-3-pro-preview)
  • Flash-tier speed and cost: Generation speed matters more than pro-level quality (consider google/gemini-3.1-flash-image-preview)
  • Video output required: Still images are not sufficient (consider the Veo model family)

Conclusion

Nano Banana Pro (Gemini 3 Pro Image) fills a gap in AI-assisted technical documentation and professional creative production. It generates accurately labeled diagrams and web-search-grounded imagery at higher resolutions. For teams building tools that produce technical illustrations, enriched visual content, or composite image workflows, it exposes capabilities that simpler image-generation models do not.