Nano Banana Pro pricing & free access: API rates

Runbo Li
Runbo Li
·
· 5 min read
Nano Banana Pro interface with pricing overview banner

Quick answer

Nano Banana Pro is Google’s Gemini 3 Pro Image model. In the standard Gemini Developer API, its listed image-output cost is about $0.134 for a 1K or 2K image and $0.24 for a 4K image, plus applicable input and other output charges. Consumer subscriptions and third-party providers use different billing. Checked September 13, 2026 against Google’s API pricing.

The standard Gemini Developer API has no free tier for Nano Banana Pro according to Google’s current pricing table. Google AI Studio usage is free in available regions, while the Gemini app applies separate plan and capacity limits. “Free trial” can therefore mean a browser surface, not free production API calls.

Remove the mug from the right side of the desk. Reconstruct the revealed surface naturally while preserving the laptop, lighting, shadows, camera position, and every other object.

Test an image edit before paying

Upload a representative image, describe one exact change, and inspect the result in Magic Hour.

Try AI Image Editor

This pricing guide uses current Google model and billing documentation and keeps direct API rates separate from hosted-app pricing. It is a price reference rather than a quality ranking; verify the exact model ID, account tier, and final billable route before production use. Batch pricing, mode support and model-selection guidance were rechecked October 10, 2026.

Direct API output pricing

Google Nano Banana Pro official pricing page screenshot, September 25, 2026

Google Nano Banana Pro pricing page, captured September 25, 2026. Billing selection, currency and any promotion are shown in the screenshot; recheck the live page and checkout before buying. View official source

Model

Output size

Listed image-output component

Nano Banana Pro / Gemini 3 Pro Image

1K or 2K

About $0.134/image

Nano Banana Pro / Gemini 3 Pro Image

4K

About $0.24/image

These are the standard API image-output components, not all-inclusive flat prices. Google lists input at $2 per million tokens for this model and bills applicable text output separately. Batch and other providers have different billing. A price row alone does not prove a billing mode is supported by this model.

What would 100 images cost?

At the listed output rate, 100 standard 4K image outputs contribute about $24 in image-output charges, before input and other applicable charges. If you generate two candidates for every accepted image, 100 accepted images require 200 outputs and about $48 in that component.

This is a budget scenario. It does not establish an actual two-attempt success rate or include every item on an invoice.

Standard or Batch: choose by delivery deadline

Batch halves the listed image-output component when you can wait. Google’s API pricing lists $0.067 for a 1K/2K Pro image and $0.12 for 4K in Batch. One hundred 4K outputs therefore contribute $12, versus $24 in Standard, before inputs and other charges. These are invoice-component calculations, not a success-rate claim.

The Pro model card supports Batch and currently marks Flex and Priority unsupported. Do not choose those modes merely because the pricing page prints rates.

Use Batch for queued asset libraries, not an interactive preview that must return immediately. Google’s Batch guide targets completion within 24 hours; timing varies. Use inline requests below 20 MB or a JSONL file for larger jobs. Save the returned job name and each request key, retrieve results, and inspect per-request errors before retrying failed items. Batch creation is not idempotent: submitting the creation request again creates another job. Poll the existing job before resubmitting.

Pro is not the same as Nano Banana 2

Nano Banana Pro uses Gemini 3 Pro Image. Nano Banana 2 uses Gemini 3.1 Flash Image and has its own rates. The original Nano Banana is another model generation. Record the exact model ID when comparing quality or cost.

Google’s current image-generation guide now recommends Nano Banana 2.1 (gemini-nano-banana-2.1) for new projects; Nano Banana 2 / Gemini 3.1 Flash Image is the previous generation. Nano Banana Pro remains positioned for complex professional assets, advanced localization, brand consistency and precise control. Choose the model for the job rather than treating “Pro” as the automatic default.

Consumer app, API, or third-party access?

Use a consumer app when its interface and allowance suit manual work. Use an API for application integration and usage accounting. A third-party platform may bundle several models with its own credits and limits; its subscription is not Google’s API pricing.

For image creation or editing within a broader media workflow, compare the actual model and quote in Magic Hour’s image tools. Do not infer a universal per-image cost from a vendor’s generic credit balance.

What should you verify before generating?

Confirm the model ID, output size, number of candidates, input assets, billing mode, and provider. Review exact text and product details in every output. Record accepted images separately from successful API jobs, then divide all relevant charges by accepted images.

For historical measured requests through Magic Hour, see our Nano Banana 2 versus Pro benchmark. It reports fifteen paired 1K attempts per model and links the actual output images. Its July 21, 2026 credit observations are not Google's direct-API prices or a current quote for every resolution.

Is Nano Banana Pro free?

For the Gemini Developer API, no: Google lists Nano Banana Pro as unavailable on the free tier. Google AI Studio usage is free in available regions. In the consumer Gemini app, Google’s current access table lists Nano Banana Pro image redo for paid AI plans and warns that limits can change with capacity, testing and availability. Check the specific surface and account before planning a batch.

Frequently asked questions

At the listed output rate, 100 standard 4K image outputs contribute about $24 in image-output charges, before input and other applicable charges. If you generate two candidates for every accepted image, 100 accepted images require 200 outputs and about $48 in that component.

This is a budget scenario. It does not establish an actual two-attempt success rate or include every item on an invoice.

Use a consumer app when its interface and allowance suit manual work. Use an API for application integration and usage accounting. A third-party platform may bundle several models with its own credits and limits; its subscription is not Google’s API pricing.

For image creation or editing within a broader media workflow, compare the actual model and quote in Magic Hour’s image tools. Do not infer a universal per-image cost from a vendor’s generic credit balance.

Confirm the model ID, output size, number of candidates, input assets, billing mode, and provider. Review exact text and product details in every output. Record accepted images separately from successful API jobs, then divide all relevant charges by accepted images.

For historical measured requests through Magic Hour, see our Nano Banana 2 versus Pro benchmark. It reports fifteen paired 1K attempts per model and links the actual output images. Its July 21, 2026 credit observations are not Google's direct-API prices or a current quote for every resolution.

For the Gemini Developer API, no: Google lists Nano Banana Pro as unavailable on the free tier. Google AI Studio usage is free in available regions. In the consumer Gemini app, Google’s current access table lists Nano Banana Pro image redo for paid AI plans and warns that limits can change with capacity, testing and availability. Check the specific surface and account before planning a batch.

Runbo Li
Runbo Li
CEO of Magic Hour
Runbo Li is the Co-founder and CEO of Magic Hour, where he builds AI video and image tools for content creation. He is a Y Combinator W24 founder and former Data Scientist at Meta, where he worked on 0-1 consumer social products in New Product Experimentation. He writes about AI video generation, AI image creation, creative workflows, and creator tools.
View author →

Continue Reading

Nano Banana 2 vs Nano Banana Pro benchmark — hero

Nano Banana 2 vs Pro: 30 paired images, timing and cost

Handmade collage of image-editing tools and banana artwork for a Nano Banana alternatives comparison

6 best Nano Banana alternatives for image editing

The Best AI Image Editors

6 best AI image editors in 2026: choose the right one

Edit Product Photos with AI

How to edit product photos with AI: workflow and prompts

AI Photo Editors  for Product Photography

8 AI photo editors for product photography: a practical guide

Change Clothes in a Photo With AI

How to change clothes in a photo with AI - free & instant (2026)