# Nano Banana Pro (Gemini 3 Pro Image)

Native image generation for professional workflows: Nano Banana Pro (Gemini 3 Pro Image) combines labeled diagram generation, real-world web-search grounding, and higher resolution multi-image compositing in a single multimodal model.

- **Model ID:** `google/gemini-3-pro-image`
- **Type:** chat
- **Providers:** google, vertex
- **Context window:** 65,536
- **Maximum output tokens:** 32,768
- **Pricing:** $2/1M input tokens, $12/1M output tokens
- **Canonical page:** https://vercel.com/ai-gateway/models/gemini-3-pro-image

## Supported parameters

- **Parameters:** `thinking_level`, `media_resolution`
- **Operations:** Not reported
- **Input modalities:** `text`, `image`, `video`, `audio`, `pdf`
- **Output modalities:** `text`, `image`
- **Aspect ratios:** Not reported
- **Resolutions:** Not reported
- **Durations:** Not reported
- **Frame rates:** Not reported
- **Maximum outputs per request:** Not reported
- **Maximum input images:** Not reported
- **Input image formats:** Not reported
- **Maximum input image size:** 7 MB

## Example

```ts
import { generateText } from 'ai'

const result = await generateText({
  model: 'google/gemini-3-pro-image',
  prompt: 'Render a picture of a red balloon.',
});
```

## About

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

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.

## When to use

### Best For
- Generating technical diagrams, architecture charts, and data flow visualizations with accurate labeling
- Creative workflows requiring higher resolution images and multi-image compositing
- Applications that need image generation grounded in current real-world information via web search
- Mixed-media pipelines where 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
- You need pure image generation without text output (consider `google/imagen-4.0-generate-001` or `google/imagen-4.0-ultra-generate-001`)
- Your use case is primarily language-based reasoning with no image generation requirement (consider `google/gemini-3-pro-preview`)
- Flash-tier image generation speed and cost are more important than pro-level quality (consider `google/gemini-3.1-flash-image-preview`)
- You require video output rather than still images (consider the Veo model family)

## 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

- **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)

## Frequently asked questions

### Why does this model use `generateText` instead of `generateImage`?

Nano Banana Pro (Gemini 3 Pro Image) is a multimodal model, not a dedicated image generation API. It returns both text and image files in a single response. In the AI SDK, you call `generateText` and then iterate over `result.files` to access the generated images.

### What types of diagrams can this model generate with accurate labels?

The model handles architectural schematics, data flow charts, and similar technical visualizations where text annotations must be precisely placed and readable.

### How does web search integration work for image generation?

The model can query Google's index at generation time to retrieve current visual reference data. This helps render lesser-known landmarks, recent events, or real-world objects accurately rather than relying solely on training data.

### What resolution does Nano Banana Pro (Gemini 3 Pro Image) support?

Nano Banana Pro (Gemini 3 Pro Image) generates higher resolution images compared to the base Nano Banana model. Check the model specs on this page for current resolution and pricing details.

### Can I use this model with multiple input images for compositing?

Yes. Nano Banana Pro (Gemini 3 Pro Image) introduces higher multi-image input limits specifically to support compositing workflows where multiple reference images must be combined into a single generated output.

### Do I need a Google account to use this model on AI Gateway?

No. AI Gateway manages all provider credentials. You authenticate via a Vercel API key or OIDC token and AI Gateway routes requests to the appropriate provider automatically.

### How is Nano Banana Pro (Gemini 3 Pro Image) different from the base Nano Banana model?

Nano Banana Pro (Gemini 3 Pro Image) targets advanced and professional use cases. It adds diagram labeling accuracy, web-search grounding for up-to-date imagery, higher resolution output, and higher multi-image input limits. These capabilities are not available in the base flash-tier image model.

### Can I receive both text and image output in the same request?

Yes. Because this is a multimodal model using `generateText`, a single request returns `result.text` for any written content and `result.files` containing the generated images, allowing mixed-media responses in one API call.

## Links

- [Model page](https://vercel.com/ai-gateway/models/gemini-3-pro-image)
- [AI Gateway documentation](https://vercel.com/docs/ai-gateway)
- [Provider model documentation](https://ai.google.dev/gemini-api)
- [Provider pricing](https://cloud.google.com/vertex-ai/generative-ai/pricing)