Google DeepMind (Gemini) / nano-banana-pro

Nano Banana Pro

Nano Banana Pro stands out for Gemini quality tier for complex professional visuals and Context-aware editing with fine creative control. It is best suited to brand systems and complex layouts and high-detail image editing.

Image generation

Context

—

Not applicable

Input

$1.80

/ 1M tokens

Output

$108.00

/ 1M tokens

Quality

#68

Elo 1120

Overview

What this model is good for

Model capabilities

Image output

Can generate or return images through media-generation workflows.

Model maker

Model maker and access

Google DeepMind (Gemini)

Called through SeaLink's unified account, balance, and OpenAI-compatible API.

Protocol

Media generation API

Base URL: https://api.sealink.io/v1

Pricing

Pricing and usage estimates

Image · Resolution: 1K,2K / billingMode: per_image / endpointFamily: image$0.1206/ image

Image · Resolution: 4K / billingMode: per_image / endpointFamily: image$0.216/ image

Tokens · tokenKind: output / billingMode: tokens / endpointFamily: image$108.00/ 1M tokens

Tokens · tokenKind: input / billingMode: tokens / endpointFamily: image$1.80/ 1M tokens

The final charge follows generated usage and the applicable selector, such as resolution, duration, input type, or provider unit.

API

Copy into your code

model

nano-banana-pro

base_url

https://api.sealink.io/v1

Auth

Bearer $SEALINK_API_KEY

cURL

curl https://api.sealink.io/v1/images/generations \
  -H "Authorization: Bearer $SEALINK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nano-banana-pro",
    "prompt": "A serene lake at sunset, oil painting style",
    "n": 1,
    "aspect_ratio": "16:9",
    "image_size": "1K"
  }'

Python

import requests

url = "https://api.sealink.io/v1/images/generations"
headers = {"Authorization": f"Bearer {api_key}"}
payload = {
    "model": "nano-banana-pro",
    "prompt": "A serene lake at sunset, oil painting style",
    "n": 1,
    "aspect_ratio": "16:9",
    "image_size": "1K",
}
resp = requests.post(url, json=payload, headers=headers)
data = resp.json()
print(data["data"][0]["url"])

Node.js

const resp = await fetch("https://api.sealink.io/v1/images/generations", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.SEALINK_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "nano-banana-pro",
    prompt: "A serene lake at sunset, oil painting style",
    n: 1,
    aspect_ratio: "16:9",
    image_size: "1K",
  }),
});
const data = await resp.json();
console.log(data.data[0].url);

curl https://api.sealink.io/v1/images/generations \

-H "Authorization: Bearer $SEALINK_API_KEY" \

-H "Content-Type: application/json" \

-d '{

"model": "nano-banana-pro",

"prompt": "A serene lake at sunset, oil painting style",

"n": 1,

"aspect_ratio": "16:9",

"image_size": "1K"

import requests

url = "https://api.sealink.io/v1/images/generations"

headers = {"Authorization": f"Bearer {api_key}"}

payload = {

"model": "nano-banana-pro",

"prompt": "A serene lake at sunset, oil painting style",

"n": 1,

"aspect_ratio": "16:9",

"image_size": "1K",

}

resp = requests.post(url, json=payload, headers=headers)

data = resp.json()

print(data["data"][0]["url"])

const resp = await fetch("https://api.sealink.io/v1/images/generations", {

method: "POST",

headers: {

"Authorization": `Bearer ${process.env.SEALINK_API_KEY}`,

"Content-Type": "application/json",

body: JSON.stringify({

model: "nano-banana-pro",

prompt: "A serene lake at sunset, oil painting style",

n: 1,

aspect_ratio: "16:9",

image_size: "1K",

}),

});

const data = await resp.json();

console.log(data.data[0].url);