27 Sep 2025
Three million developers. That’s how many now use OpenRouter, one of the fastest-growing API marketplaces for AI models.
Until now, if you wanted to use Google DeepMind’s Nano Banana image model, you were locked into specific Google Cloud products. But the walls just came down. OpenRouter now offers Nano Banana as an endpoint, giving developers frictionless access to one of the world’s most advanced image editing and generation models—without vendor lock-in.
Why does this matter?
This blog is your end-to-end playbook: from setup and sample code to integration strategies and performance tips.
Nano Banana is Google DeepMind’s state-of-the-art image editing and generation model, built for:
In 2025, Nano Banana surpassed models like Stable Diffusion XL in benchmark quality tests (FID score and human preference ratings), making it the go-to choice for professional-grade image workflows.
👉 Suggested Visual: Infographic comparing Nano Banana vs. Stable Diffusion XL vs. MidJourney on accuracy, speed, and control.
No need to juggle separate APIs. OpenRouter provides one authentication token that works across Google, Anthropic, OpenAI, Stability, and more.
Instead of flat-rate subscriptions, OpenRouter offers pay-per-call transparency. For Nano Banana:
👉 Suggested Visual: Step-by-step diagram: “How a request flows from OpenRouter → Nano Banana → Developer App.”
⚠️ Pro Tip: Store your API key as an environment variable (OPENROUTER_API_KEY) to avoid leaking it in code.
Python example:
1pip install openai
Node.js example:
1npm install openai
Python code to blend text + image input:
1import base64
2from openai import OpenAI
3
4client = OpenAI(
5 base_url="https://openrouter.ai/api/v1",
6 api_key="YOUR_API_KEY"
7)
8
9with open("input.jpg", "rb") as f:
10 img_data = base64.b64encode(f.read()).decode("utf-8")
11
12response = client.images.generate(
13 model="google/nano-banana",
14 prompt="Add a clean white background and enhance lighting",
15 image=img_data,
16 size="1024x1024"
17)
18
19print(response.data[0].url)
👉 Suggested Visual: Screenshot of “before vs after” image with this exact code snippet.
If you’re editing 1,000+ SKUs:
1# items × $0.039 = estimated batch cost
👉 Suggested Visual: Flowchart of a production-ready “image ops pipeline.”
A skincare startup replaced $20K/month in photo shoots with Nano Banana batch processing. They generated 3,000 edited SKUs in 48 hours, reducing CAC by 18%.
A design SaaS plugged Nano Banana into its editor, letting users remove image backgrounds in-app. User retention increased 22% after launch.
👉 Suggested Visual: Chart showing “Cost savings vs. time savings with Nano Banana.”
Nano Banana pricing starts at $0.039 per image token (Gemini 2.5 Flash). Costs scale with resolution and features.
Yes. OpenRouter’s license allows commercial usage, but you must respect Google’s content safety guidelines.
Average generation time is 2–4 seconds for 1024×1024 images. Batch jobs may take longer.
No. Everything runs via API—no GPU rental, no local installation.
Nano Banana just got unlocked for 3M+ developers. By using it on OpenRouter, you’re not just editing images—you’re future-proofing your creative pipeline with Google-grade AI, minus the overhead.
The real winners? Those who integrate early and build on top of Nano Banana while competitors are still stuck in manual workflows.
👉 Next Step:Sign up for OpenRouter and make your first Nano Banana call today.