Nano Banana API Guide: Official Model Names, Endpoints, and Setup

Categories: Developer Guide, AI Image Workflow, API Setup

Tags: nano banana api, nanobanana api, nano banana pro api, gemini image api, google ai studio nano banana

Introduction

If you searched for nano banana api, the first thing to know is that Google now uses the Nano Banana naming directly in its official image-generation docs, but the actual API calls still use Gemini model IDs.

As of March 17, 2026, the official page is titled Image generation with Gemini (aka Nano Banana & Nano Banana Pro). That page, together with the official pricing page and product blog posts, is enough to map the developer workflow cleanly.

The Current Model Mapping

This table is the practical map developers need today.

That third row is important. Google's pricing and developer docs use Gemini model IDs, while search demand often uses the Nano Banana 2 brand. The official docs now connect those labels directly.

What the Official Nano Banana API Looks Like

The official REST shape uses generateContent on a model-specific endpoint. If you are calling the base Nano Banana model, the request looks like this:

curl -s -X POST \
  "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-image:generateContent" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [{
      "parts": [
        {"text": "Create a clean studio product photo of a ceramic coffee mug"}
      ]
    }]
  }'

That is not a separate nano-banana endpoint. It is the Gemini API with a model ID that maps to the Nano Banana family.

What You Can Build with the Nano Banana API

The official image-generation workflow supports:

• Text-to-image generation
• Image editing with text instructions
• Multi-turn refinement
• Combining text and images in one request

For many teams, that means the API is best when you need:

• Product-image pipelines
• Ad creative systems
• Character-consistent visual iteration
• Internal tools for prompt libraries and review

If you just want to explore visually without coding, AI Studio or VeoNano is faster.

AI Studio vs API vs VeoNano

Use AI Studio if you need:

• Fast experimentation
• Prompt iteration without writing code
• A direct way to test model behavior

Use the Gemini API if you need:

• Product integration
• Batch or programmatic image generation
• Backend automation

Use VeoNano if you need:

• A creator workflow first
• Easier prompt entry and image editing
• A path from image generation into Veo video workflows

When Nano Banana Pro or Nano Banana 2 Makes More Sense

The basic API question is not only "Can I call Nano Banana?" It is also "Which image model fits the job?"

• Use Nano Banana for lower-cost, faster image work
• Use Nano Banana Pro when higher-fidelity output and more advanced control matter
• Use Nano Banana 2 when you want the current faster-generation path tied to the newer Flash image stack

If cost is the deciding factor, continue to the Nano Banana Pricing Guide. If prompt quality is the problem, go to Nano Banana Prompts.

Common Mistakes with Nano Banana API Searches

Most confusion comes from naming, not implementation.

• Expecting a separate nano-banana endpoint instead of Gemini model IDs
• Mixing product brand names with developer model codes
• Assuming Nano Banana Pro and Nano Banana 2 are the same model
• Jumping into API work before validating prompts in AI Studio or a UI workflow

Related Guides

• Nano Banana Pricing Guide
• Nano Banana Prompts
• How to Use Nano Banana
• Google Flow Veo 3 Guide

Conclusion

The cleanest answer to nano banana api is that the official developer route exists, but it lives under Gemini model names. Once you understand that naming layer, the setup becomes straightforward.

Call to Action

• Explore the Nano Banana hub: /models/nano-banana
• Start with AI image generation: /text-to-image
• Edit an image directly: /image-to-image
• Learn prompt structure first: /blog/posts/nano-banana-prompts
• Review official image generation docs: https://ai.google.dev/gemini-api/docs/image-generation

FAQs

1) Is there an official Nano Banana API? Yes, but it is exposed through Gemini model IDs rather than a separate nano-banana API endpoint.

2) What model is Nano Banana in the API? As of March 17, 2026, the official docs map Nano Banana to gemini-2.5-flash-image.

3) What model is Nano Banana Pro in the API? The official image-generation docs and Gemini 3 guide map Nano Banana Pro to gemini-3-pro-image-preview.

4) What about Nano Banana 2? Google's Nano Banana 2 product post identifies it as Gemini 3.1 Flash Image. The developer-facing model name on the pricing page is gemini-3.1-flash-image-preview.