Name: Nano Banana Pro API
Brand: Google

Overview

What Is Nano Banana Pro API?

Nano Banana Pro is Google’s **Gemini 3 Pro Image** model, described by Google as a state-of-the-art image generation and editing model built on Gemini 3 Pro.

Google positions it for higher-precision image creation, with better understanding of prompts, improved detail, and stronger support for editing workflows.

Technical Reference

Developer	Google
Model ID	google/nano-banana-pro
Release Date	February 26, 2026
Modalities	Image, Text → Image

What Nano Banana Pro Brings to the Table

Model identity
Nano Banana Pro is the public nickname for **Gemini 3 Pro Image**.

Purpose
Google describes it as an image generation and editing model designed for complex, multi-turn image work.

Reasoning foundation
It is built on **Gemini 3 Pro** and uses Gemini’s reasoning and world knowledge to visualize information more effectively.

Inputs and outputs
Google AI Studio lists text and image inputs for Nano Banana Pro, and the model page shows image output options including 1K, 2K, and 4K.

Availability
Google says Nano Banana Pro is available in the Gemini app on desktop and mobile, and through AI Mode in Search.

Where Nano Banana Pro Makes the Most Sense

Complex image editing
Google Cloud documentation says it is suited for challenging image generation and editing tasks that benefit from improved accuracy and image quality.

High-precision visual generation
Google says it is intended to create visuals with greater precision, depth, nuance, and detail.

Text-rich image creation
Google highlights improved legible text rendering as a capability of Nano Banana Pro.

Workspace and productivity content
Google Workspace says Nano Banana Pro is being rolled out in tools such as Slides, Vids, the Gemini app, and NotebookLM.

Nano Banana Pro vs the Alternatives

Nano Banana 2
Google Cloud identifies Nano Banana 2 as **Gemini 3.1 Flash Image**, while Nano Banana Pro is **Gemini 3 Pro Image**.

Original Nano Banana
Google’s image-generation overview distinguishes Nano Banana Pro from the earlier Nano Banana model used in Gemini image creation.

Sources: https://aistudio.google.com/models/nano-banana · https://blog.google/innovation-and-ai/products/nano-banana-pro/ · https://blog.google/innovation-and-ai/technology/ai/nano-banana-2/

Uptime and performance

Uptime (24h): 100%
Uptime (7d): 100%
Availability (24h): 100%
Error rate (24h): 0%
End-to-end latency (24h median): 24.8s

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

Nano Banana Pro is documented as suited to creating prototypes, including turning ideas into visual mockups and designs. It is also suited to making infographics from data or source material, including concise visual explanations and slide-ready graphics. Another documented use is turning handwritten notes or sketches into diagrams and other structured visuals. Google also describes it as useful for creating polished slide decks and visual narratives from sources in NotebookLM and Slides.

How to use Nano Banana Pro API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to google/nano-banana-pro.

import requests

r = requests.post(
    "https://api.aimlapi.com/v1/images/generations",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "google/nano-banana-pro",
      "prompt": "A cat holding a sign that says hello",
      "aspect_ratio": "1:1",
      "resolution": "1K"
    },
)
print(r.json())

const r = await fetch("https://api.aimlapi.com/v1/images/generations", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "google/nano-banana-pro",
    "prompt": "A cat holding a sign that says hello",
    "aspect_ratio": "1:1",
    "resolution": "1K"
  }),
});
console.log(await r.json());

curl -X POST https://api.aimlapi.com/v1/images/generations \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"google/nano-banana-pro","prompt":"A cat holding a sign that says hello","aspect_ratio":"1:1","resolution":"1K"}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.