Nano Banana 2 vs Pro (and 2.1): Prices and Limits

Google’s image-generation docs let Nano Banana 2 take up to 10 object reference images in one request and Nano Banana Pro up to 6, while only Pro accepts style reference images, up to 3. At 1K resolution, Google’s Gemini API pricing page lists Nano Banana 2 at $0.067 per image and Nano Banana Pro at $0.134, exactly twice as much. Those two gaps decide most Nano Banana 2 vs Pro choices before output quality comes into it.

Both figures come from Google’s pages as I read them on 25 October 2026, and they point at a third model. Google made Nano Banana 2.1 generally available on 6 October 2026, deprecated Nano Banana 2 in the API the same day, and prices 2.1’s image output at about half of Nano Banana 2’s at 1K. For new work, I think the choice that matters now is 2.1 vs Pro, and Nano Banana 2 earns a place only for the 512px size that no other Nano Banana model produces.

I have run no quality or speed comparison of these models, so this post makes none. Prices and limits change often, so recheck the linked pages before you budget.

Nano Banana 2 vs Pro: Which Should You Use?

Use Nano Banana Pro when the job needs style reference images, up to 5 character references or Google’s “premium choice for the most complex visual tasks”, at $0.134 per 1K image. Use Nano Banana 2 for 512px drafts at $0.045. For other new work, Google now points developers to Nano Banana 2.1, at $0.0336 per 1K image.

Nano Banana Prices per Image: The October 2026 Lineup

The Gemini API prices image output in tokens and converts each resolution into a per-image figure. These are the paid-tier prices on the pricing page (last updated 22 October 2026 when I read it), with the Batch API price in brackets:

What the table does not show on its own:

• No free API tier. Every image model’s Free Tier column reads “Not available” on the pricing page, so each API image is billed.
• The token rates behind the prices. Image output costs $30 per million tokens on 2.1 and 2 Lite, $60 on Nano Banana 2 and $120 on Pro. A Pro image at 1K and at 2K both count as 1,120 tokens, which is why the two sizes cost the same.
• Thinking is billed too. The guide says the Gemini 3 image models reason before they draw, that this is “enabled by default and cannot be disabled in the API”, and that thinking tokens are billed. The interim “thought images” are not charged. Text and thinking output is priced separately, at $7.50 per million tokens on 2.1, $3 on Nano Banana 2, $1.50 on 2 Lite and $12 on Pro. So 2.1’s thinking costs 2.5 times Nano Banana 2’s per token, and the half-price gap covers the image output only.
• One token count disagrees. The pricing page says a 4K image on 2.1 consumes 3,780 tokens, while the resolution table in the image guide lists 2,520 for the same size. My table uses the pricing page’s $0.113, the higher figure, so check your first 4K invoice line.
• Two shutdown dates for the original Nano Banana. The pricing page’s warning says gemini-2.5-flash-image “will be shut down on October 2, 2026”, while Google’s deprecations page lists 15 March 2027 and names Nano Banana 2 Lite as its replacement. Do not start new work on it either way.

Pro also has a Flex tier at the batch prices and a Priority tier at $216 per million image tokens, against $120 standard.

Nano Banana 2 vs Pro Limits: Resolution, References and Inputs

The price gap buys different limits, not one model with more of everything. The image generation guide (last updated 9 October 2026 when I read it) describes each model in one line:

The same guide’s per-model limits:

The guide’s section heading says Nano Banana models can mix up to 14 reference images in total; the rows above are the per-type caps. The guide’s limitations section adds that Pro “supports 5 images with high fidelity, and up to 14 images in total”, and that the 2.1 and Nano Banana 2 search grounding does not use real-world images of people from web search.

Image size at the same setting is identical across 2.1, 2 and Pro. At 16:9, a 1K image is 1376 x 768, 2K is 2752 x 1536 and 4K is 5504 x 3072. Nano Banana 2’s 0.5K option gives 688 x 384 at 16:9. The guide lists 16:9 among 2 Lite’s aspect ratios but gives no pixel table for that model. All generated images carry a SynthID watermark, according to the same guide.

For a picture with words in it, the guide also says Gemini “works best if you first generate the text and then ask for an image with the text”. When the words and numbers must be exact, as in a chart or a diagram, Claude Code’s routes to an image file include four that need no image model at all.

Is Nano Banana Pro Free? What Each Gemini App Plan Gets

Not in the Gemini app chat. In the app, Pro is a “Redo with Pro” button for paid plans, and Google’s overview and limits pages list Nano Banana 2 for the free tier. I read four Google pages logged out on 25 October 2026, the Gemini image generation overview, the image help article, the Gemini Apps limits page and Google’s plans page:

The overview page says “Google AI Pro, Plus, Ultra users have access to our best image model, Nano Banana 2.1”. The limits page still lists “Image generation with Nano Banana 2” under all four plans, and the help article never names 2.1, so Google’s pages disagree on which model a paid plan’s images use by default. None of the four pages gives an image count per day for any plan.

Rules from the help article that change how Pro behaves in the app:

1. The image model follows the Gemini model you choose. Flash-Lite uses Nano Banana 2 Lite, Flash or Pro uses Nano Banana 2, and the Pro redo needs the Gemini model set to Pro.
2. To use Pro, create the image first, then select More and Redo with Pro.
3. “If you reach your daily quota of Nano Banana 2 images, you can’t redo any additional images with Nano Banana Pro.”

The limits page refers to five-hour and weekly usage limits, after which you wait for a refresh or upgrade. Fetched logged out from an Indian connection on 25 October 2026, the English India version of the overview page (hl=en-IN) carried the same model lines as the US page. Indian readers comparing plan routes can start with what Jio’s Google AI Pro offer includes and what it costs after 18 months.

Choose by Job: A Decision Table From Google’s Specs

Each pick follows from a published limit or a list price:

Worked Cost: 100 LinkedIn Images on Each Model

I write one Nano Banana image prompt for each LinkedIn post, all in one house style: a Renaissance still life on a warm paper background with one vermilion accent and no text, at 1200 x 628. The reason for that size is in my LinkedIn post size guide.

On 2.1, Nano Banana 2 and Pro, a 1K image at 16:9 is 1376 x 768. Scaled to 1200 wide it becomes 1200 x 670, and a crop of 42 pixels of height gives 1200 x 628. The 0.5K option, at 688 x 384, is too small for that width without upscaling, so 1K is the cheapest size that fits. The guide gives no pixel size for 2 Lite’s 1K output, so check one 2 Lite image before you count on the same crop. At Google’s 1K list prices on 25 October 2026:

The arithmetic is 100 times the per-image price. Pro costs $10.04 more than 2.1 per 100 standard images. Batch roughly halves every line on the pricing page, and the guide’s batch section says batch jobs have a turnaround “of up to 24 hours”. These totals cover the image output only: prompt tokens, thinking tokens and any image you regenerate are billed on top. The same 1376 x 768 frame also covers a 1200 x 630 link-preview card, and the OG image size guide lists the size each platform asks for on its own page.

In the Gemini app there is no per-image fee. The same 100 images draw down your plan’s usage limit instead, and Google publishes no image count for any plan.

Nano Banana 2 vs Pro Is Now a 2.1 vs Pro Decision

Read on Google’s pages, Nano Banana 2 vs Pro has a short answer: Nano Banana 2 now sits behind 2.1 in Google’s recommendation and price list, so price your next batch of images against 2.1 and Pro and keep Nano Banana 2 for 512px drafts.

Recheck the pricing page and the changelog before you commit a budget.