gemini-3-pro-image - API for Egypt, billed in EGP
LiveNano Banana Pro (Gemini 3 Pro Image) is designed to tackle the most challenging image generation by incorporating state-of-the-art reasoning capabilities. It is the best model for complex and multi-turn image generation and editing.
Modality
image
Context window
66K tokens
Max output
33K tokens
Region
US
Weights
Proprietary
Published
20 Aug 2026
Pricing
Price
7.90 EGP per image
The provider reports the exact charge on every response.
- 7.06 EGP per 1,000 output image tokens.
- 7.90 EGP per image (1120 image tokens). This provider has no resolution setting, so the other resolutions in its price list cannot be requested here; only the aspect ratio can.
- The exact charge is reported by the provider on every response and is what you pay.
Use it via the API
gemini-3-pro-image works with any OpenAI-compatible SDK — point the base URL at https://backend.sovereigneg.com/v1 and use your SovereignEG API key.
Run inference
POST /v1/images/generations — OpenAI-compatible: SovereignEG's own seg-sdk, or a drop-in for any OpenAI SDK.
import base64
from seg import SEG # pip install seg-sdk
client = SEG(api_key="YOUR_API_KEY")
response = client.images.generate(
model="gemini-3-pro-image",
prompt='Aerial night photo of the floodlit Giza pyramids under a starry sky, an Egyptian flag spread on the sand, and a glowing "SovereignEG" wordmark in a clean geometric typeface across the sky',
)
with open("image.png", "wb") as f:
f.write(base64.b64decode(response.data[0].b64_json))import base64
from openai import OpenAI
client = OpenAI(
base_url="https://backend.sovereigneg.com/v1",
api_key="YOUR_API_KEY",
)
response = client.images.generate(
model="gemini-3-pro-image",
prompt='Aerial night photo of the floodlit Giza pyramids under a starry sky, an Egyptian flag spread on the sand, and a glowing "SovereignEG" wordmark in a clean geometric typeface across the sky',
)
with open("image.png", "wb") as f:
f.write(base64.b64decode(response.data[0].b64_json))import fs from "node:fs"
import OpenAI from "openai"
const client = new OpenAI({
baseURL: "https://backend.sovereigneg.com/v1",
apiKey: "YOUR_API_KEY",
})
const response = await client.images.generate({
model: "gemini-3-pro-image",
prompt: 'Aerial night photo of the floodlit Giza pyramids under a starry sky, an Egyptian flag spread on the sand, and a glowing "SovereignEG" wordmark in a clean geometric typeface across the sky',
})
fs.writeFileSync("image.png", Buffer.from(response.data[0].b64_json, "base64"))curl https://backend.sovereigneg.com/v1/images/generations \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3-pro-image",
"prompt": "Aerial night photo of the floodlit Giza pyramids under a starry sky, an Egyptian flag spread on the sand, and a glowing \"SovereignEG\" wordmark in a clean geometric typeface across the sky"
}'Frequently asked questions
What is the context window of gemini-3-pro-image?
gemini-3-pro-image supports a context window of 65,536 tokens (66K), with up to 32,768 output tokens per response.
Where is gemini-3-pro-image hosted?
gemini-3-pro-image is served from US (US-hosted inference).
Is gemini-3-pro-image an open-weights model?
No — gemini-3-pro-image is a proprietary model. It is available through the SovereignEG API with per-token EGP billing.
How do I use gemini-3-pro-image via the API?
gemini-3-pro-image is available through the OpenAI-compatible SovereignEG API: point your SDK's base URL at https://backend.sovereigneg.com/v1 and call /v1/images/generations with model "gemini-3-pro-image" and your API key.