gemini-3-pro-image-preview· Released Nov 20, 2025

Name: gemini-3-pro-image-preview
Brand: Google
Availability: InStock

google/gemini-3-pro-image-preview

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...

Input

From$1.7776/M

Output

From$10.6656/M

Context

Up to 66K

Max output

Up to 33K

Modalities

ImageTextImageText

Input and output show the lowest price across upstreams, for reference. Your actual prices are listed per upstream below.

Upstreams & pricing

Upstream	Context	Max output	Input $/1M	Output $/1M	Cached input $/1M	Data policy
Zenlayer AI Gateway-openai_compat/GlobalFrom price	66K	33K	$1.7776	$10.6656	$1.7776	—

Routed in real time — you pay the listed price of whichever upstream serves your call. Data policies reflect each upstream's own data terms and its agreement with us. We do not independently audit upstream implementations.

How to call

bashrequest.sh

curl https://api.lune.io/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemini-3-pro-image-preview",
    "messages": [
      {"role": "user", "content": "Say hello in five words."}
    ]
  }'

pythonrequest.py

from openai import OpenAI
import os

client = OpenAI(
    api_key=os.environ["API_KEY"],
    base_url="https://api.lune.io/v1",
)

resp = client.chat.completions.create(
    model="google/gemini-3-pro-image-preview",
    messages=[{"role": "user", "content": "Say hello in five words."}],
)

print(resp.choices[0].message.content)

tsrequest.ts

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.API_KEY,
  baseURL: "https://api.lune.io/v1",
});

const resp = await client.chat.completions.create({
  model: "google/gemini-3-pro-image-preview",
  messages: [{ role: "user", content: "Say hello in five words." }],
});

console.log(resp.choices[0].message.content);

gomain.go

package main

import (
    "context"
    "fmt"
    "os"

    "github.com/sashabaranov/go-openai"
)

func main() {
    cfg := openai.DefaultConfig(os.Getenv("API_KEY"))
    cfg.BaseURL = "https://api.lune.io/v1"
    client := openai.NewClientWithConfig(cfg)

    resp, err := client.CreateChatCompletion(
        context.Background(),
        openai.ChatCompletionRequest{
            Model: "google/gemini-3-pro-image-preview",
            Messages: []openai.ChatCompletionMessage{
                {Role: "user", Content: "Say hello in five words."},
            },
        },
    )
    if err != nil {
        panic(err)
    }
    fmt.Println(resp.Choices[0].Message.Content)
}