Se vi state chiedendo how much it costs to use the Nano Banana ProAPI (Gemini 3 Pro Image), here are the key numbers: $2.00 per 1 M input text tokens, $12.00 per 1 M thinking (output) tokens, $0.0011 per image input, $0.134 per 1K/2K generated image (1,120 tokens), and $0.24 per 4K image (2,000 tokens). With the Batch API, those rates drop: $1.00 (text input), $6.00 (thinking), $0.067 per 1K/2K image, and $0.12 per 4K image.
In the rest of this article, I’ll break down exactly how these charges work, when to choose Batch vs Standard, how to estimate your monthly bill, and best practices to minimize your costs and optimize your usage.
The Google official Nano Banana Pro service is currently very congested — especially for free users, who are limited to only three generations at lower resolution. The good news is that GlobalGPT has fully integrated Nano Banana Pro, allowing you to use it here freely and without restrictions.
What Is Nano Banana Pro/Nano Banana 2 API? (AKA Gemini 3 Pro Image Preview)
Nano Banana Pro API is Google’s Gemini 3 Pro Image model exposed via the Gemini API. It’s designed for high-fidelity, multimodal AI image generation: you can submit text prompts, reference images, or both, and receive rich, high-resolution renderings. This isn’t the lightweight “flash” model — Nano Banana Pro is built for creators, developers, and enterprises that need studio-quality visuals, consistency across images, and precise control over resolution and layout. Because it’s a preview model (gemini-3-pro-image-preview), pricing reflects its premium capabilities and advanced reasoning.
If you don’t know how to use the Nano Banana Pro API, please read our previous blog.
Nano Banana Pro/Nano Banana 2 API Pricing Table — Standard vs Batch
| Pricing Tier | Token / Image Type | Rate (USD) |
| Standard (online) | Text input | $2.00 / 1M tokens |
| Thinking / Output tokens | $12.00 / 1M tokens | |
| Image input (uploaded) | $0.0011 / image (≈ 560 tokens ) | |
| 1K / 2K image output | $0.134 / image (1,120 tokens) | |
| 4K image output | $0.24 / image (2,000 tokens) | |
| Batch (bulk) | Text input | $1.00 / 1M tokens |
| Thinking / Output tokens | $6.00 / 1M | |
| 1K / 2K batch image output | $0.067 / image | |
| 4K batch image output | $0.12 / image |
Nota: Rates based on Google Gemini API pricing for the
gemini-3-pro-image-previewmodel.
Why These Prices? Understanding the Cost Drivers
- Token-based pricing: For text and “thinking” (output) tokens, Google charges per million tokens, which means longer or more complex prompts cost more.
- Image input cost: Uploading a reference image is very cheap ($0.0011), but Google internally treats it as ~560 tokens, so there’s a token-equivalent structure.
- Resolution-based output: Higher resolutions cost more because they consume more “image tokens” — 1K/2K images use 1,120 tokens, while 4K uses 2,000 tokens.
- Batch API discounts: For high-volume or background jobs, the Batch API offers significantly reduced rates, making it ideal for scaling or automated workflows.
Rate Limits + Quotas to Watch When Using Nano Banana Pro/Nano Banana 2
When using the Nano Banana Pro API, you also need to account for rate limits and quotas:
- The Gemini API imposes request per second (RPS) and token per second limits.
- Enabling billing unlocks higher rate limits.
- If you exceed your usage quota, your API calls may be throttled or rejected, which can significantly impact cost and latency.
How to Estimate Your Monthly Cost: Real-World Examples
Here are two sample estimation scenarios to help you understand what paying for Nano Banana Pro API might look like:
- Small creative team / marketing use: Suppose you generate 200 images/month at 2K resolution using the Batch API:
- Cost per 2K image: $0.067
- Total = 200 × $0.067 = $13.40 / month (plus any minimal text input cost)
- High-fidelity production use (4K): You generate 50 images/month at 4K using Standard API:
- Cost per 4K image: $0.24
- Total = 50 × $0.24 = $12 / month (before text costs)
By combining estimates of token usage (for prompt and reasoning) with image output volume, you can get a fairly accurate projected bill.
Smart Ways to Reduce Your Nano Banana Pro/Nano Banana 2 API Costs
To optimize your spend and make Nano Banana Pro API more cost-efficient, consider these strategies:
- Utilizzo Batch API for bulk or background rendering — cheaper per image than online.
- Optimize prompt length and clarity — shorter, more precise prompts reduce token usage.
- Limit image resolution where possible — only use 4K when absolutely necessary.
- Reuse image uploads — avoid uploading the same reference image repeatedly if you can cache it on your side.
- Monitor and throttle usage — set budget alerts and watch your rate limits; don’t let runaway usage surprise your billing.
Is Nano Banana Pro/Nano Banana 2 API Worth It for Your Project?
Yes — if you need high-quality, production-grade images with rich detail or text, Nano Banana Pro’s premium pricing can be fully justified. For teams or projects that care about resolution, consistency, or advanced control, the value is clear. However, if you’re generating simple or low-resolution illustrations at a very high scale, lower-cost models or lower-res outputs may be more economical in the long run.
Pensieri finali
- Il Nano Banana Pro API pricing is transparent: Google charges by tokens (both input and output) and by resolution for images.
- There’s a meaningful cost-saving discount when using the Batch API.
- To manage your budget effectively, build an estimate model, monitor usage, and leverage best practices like prompt optimization and batch generation.
- With the right strategy, Nano Banana Pro offers premium image generation without breaking the bank.
