Nano Banana 2 vs Pro: Which Google Image Model to Use
October 25, 2026

Nano Banana 2 vs Pro comes down to speed versus control. Nano Banana 2 is the fast, cheaper model, though Google has deprecated its API version and now points new projects to Nano Banana 2.1, which keeps the same Flash speed. Nano Banana Pro is the slower, premium model for the hard jobs: dense layouts, brand work, and images where every fact and every letter has to be right.
Here's the short version:
- Nano Banana 2 is Gemini 3.1 Flash Image. It launched in February 2026, costs less per image in the API, adds a small 512px size, and supports extra-wide and extra-tall aspect ratios.
- Nano Banana Pro is Gemini 3 Pro Image. It launched in November 2025, and Google positions it as the model for complex, professional asset production. It's the only one of the two that accepts dedicated style-reference images.
- Both generate up to 4K, render legible text, take up to 14 reference images, and carry an invisible SynthID watermark.
- One wrinkle: Google has since shipped Nano Banana 2.1. Its Gemini API changelog marked
gemini-3.1-flash-image(Nano Banana 2) deprecated on October 6, 2026, with no shutdown date announced, and the API docs recommend 2.1 for all new projects.
Below is the full side-by-side, with every fact taken from Google's own pages.
Quick comparison
| Nano Banana 2 | Nano Banana Pro | |
|---|---|---|
| Official model name | Gemini 3.1 Flash Image | Gemini 3 Pro Image |
| API model ID | gemini-3.1-flash-image (deprecated Oct 2026) | gemini-3-pro-image |
| Launched | February 26, 2026 | November 20, 2025 |
| Built for | Speed and high-volume work | Complex, professional assets |
| Output sizes | 512px, 1K, 2K, 4K | 1K, 2K, 4K |
| Aspect ratios | 14, including 1:8 and 8:1 | 10, from 9:16 to 21:9 |
| Reference images (API) | Up to 10 objects + 4 characters | Up to 6 objects + 5 characters + 3 style refs |
| Image Search grounding | Yes, plus web search | Web search only |
| Thinking control | Minimal (default) or high | Not listed as adjustable |
| Gemini app access | Free model | Paid plans, via "Redo with Pro" |
| API cost per image | Lower | Higher at every size |
| Watermark | SynthID | SynthID |
What each model actually is
"Nano Banana" is Google's brand name for its Gemini image models. The original Nano Banana (Gemini 2.5 Flash Image) went viral in August 2025. Two newer versions followed, and they're the ones people compare.
Nano Banana Pro came first. Google's Nano Banana Pro launch post describes it as built on Gemini 3 Pro, with legible text in multiple languages, consistent branding, advanced creative controls, and output up to 4K. The Nano Banana Pro model page adds localized editing, camera-angle and depth-of-field changes, and lighting shifts like day to night.
Nano Banana 2 came three months later. Google's Nano Banana 2 announcement pitches it as Pro's world knowledge and quality "at lightning-fast speed," and says it makes "once-exclusive Pro features" available to more people.
So despite the higher number, Nano Banana 2 isn't an upgrade to Pro. It's a faster, lighter Flash tier that borrowed a lot from Pro.
There is no "Nano Banana 2 Pro"
People search for nano banana 2 pro, but no model has that name. You'll find:
- Nano Banana (Gemini 2.5 Flash Image), the original
- Nano Banana Pro (Gemini 3 Pro Image)
- Nano Banana 2 (Gemini 3.1 Flash Image)
- Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image), the cheapest and fastest
- Nano Banana 2.1, an update to Nano Banana 2
If a tool or tutorial says "Nano Banana 2 Pro," check which model ID it actually calls.
Nano Banana Pro vs Nano Banana 2: feature by feature
Resolution and aspect ratios
Both models output at 1K, 2K and 4K. Google's image generation docs list two differences, and both favor Nano Banana 2:
- A 512px size. Only Gemini 3.1 Flash Image offers it. That's handy for thumbnails, previews, and quick drafts where you don't want to pay for pixels you'll throw away.
- More aspect ratios. Nano Banana 2 supports 14 ratios. On top of the standard set it adds 1:4, 4:1, 1:8 and 8:1, which are useful for banners, website strips, and tall mobile layouts. Pro supports 10 ratios, from 9:16 up to 21:9.
If you design long banners, that rules out Pro. For new API work, though, you don't need the deprecated Nano Banana 2 for them: Google's changelog says Nano Banana 2.1 supports the same 1:4, 4:1, 1:8 and 8:1 ratios at 1K, 2K and 4K.
Text rendering
Both models are sold on legible text. Google says Nano Banana 2 gives "precision text rendering and translation" for things like marketing mockups and greeting cards. Pro's description in the API model list is stronger: "a professional design engine with a reasoning core for studio-quality 4K visuals, complex layouts, and precise text rendering."
The honest read: for a poster headline or a card greeting, either model is fine. For an infographic with many labels, a menu, or a packed diagram, Google itself steers you to Pro. Its Nano Banana 2 announcement recommends Pro "for high-fidelity tasks requiring maximum factual accuracy."
Both model pages also carry the same warning: Gemini "can still struggle with small faces, accurate spelling, and fine details." Proofread every word before you publish.
Reference images and consistency
Both models let you mix up to 14 reference images in one request. The split is different, and Google's API docs break it down like this:
| Reference type | Nano Banana 2 | Nano Banana Pro |
|---|---|---|
| Objects kept at high fidelity | Up to 10 | Up to 6 |
| Characters kept consistent | Up to 4 | Up to 5 |
| Style references | Not supported | Up to 3 |
So Nano Banana 2 is better for product shots with many objects. Pro is better for cast-heavy scenes, and it's the only one that takes images purely as a style guide. That's a big deal if you need every image to match a brand look.
The consumer pages describe both models more loosely, as keeping up to five characters and 14 objects. If you're building on the API, trust the docs table.
Search grounding and thinking
Both models can use Google Search to ground images in real-world facts, such as a current weather map. Nano Banana 2 adds Image Search grounding, so it can look at real web photos of a specific bird or landmark before drawing it.
Nano Banana 2 also lets developers set a thinking level: minimal (the default) for speed, or high for harder prompts. The docs don't list an adjustable level for Pro.
Where you can use each model
In the Gemini app
The Gemini image generation page lays out the current setup:
- Free users get Nano Banana 2.
- Google AI Pro, Plus and Ultra subscribers get Nano Banana 2.1, Google's newest image model, plus higher generation limits.
- Those same subscribers can rerun any image with Nano Banana Pro. Open the three-dot menu on an image and pick "Redo with Pro."
Pro is no longer the default anywhere in the app. When Nano Banana 2 launched, Google said it would "replace Nano Banana Pro across the Fast, Thinking and Pro models." Pro stayed available for specialized tasks through regeneration.
In AI Studio, the API and Vertex AI
You can call both from Google AI Studio or your own code, but the Gemini API changelog marked Nano Banana 2's gemini-3.1-flash-image deprecated on October 6, 2026 and tells developers to migrate to gemini-nano-banana-2.1. No shutdown date has been announced, so existing integrations keep working for now. The launch posts also listed both on Vertex AI for Google Cloud customers, plus other Google products such as Google Ads and Flow.
SynthID watermarking
Every image from either model carries SynthID, Google's invisible watermark. The API docs state that all generated images include it. You can upload an image to the Gemini app and ask whether Google AI made it.
Images made in the Gemini app also get a visible watermark. When Pro launched, Google said Ultra subscribers and AI Studio output would skip the visible mark, keeping only SynthID. Google is also adding C2PA Content Credentials alongside SynthID.
Nano Banana 2 vs Pro pricing in the API
Google prices both models by output tokens, and the Gemini API pricing page converts that into a per-image figure for each resolution. Prices change, so check that page before you budget. Here's how the two models compare at the time of writing:
- Pro costs more per image at every resolution. The gap is widest at 1K, where a Pro image costs about twice as much as a Nano Banana 2 image.
- Pro charges the same for 1K and 2K, so if you're paying for Pro, asking for 2K costs nothing extra.
- Nano Banana 2's 512px tier is the cheapest output of the two.
- Batch mode roughly halves the per-image price for both, if you can wait for results.
- Neither model has a free API tier on the pricing page. Search grounding is billed separately past a monthly free allowance.
At thousands of product shots a month, that gap adds up fast, which is the high-volume use Google built Nano Banana 2 for.
Which one should you pick?
Pick the Flash tier if
In the API, that now means Nano Banana 2.1 rather than the deprecated Nano Banana 2. In the Gemini app, free users still get Nano Banana 2.
- You're iterating fast and want quick drafts
- You generate images in volume, like product catalogs or social variants
- You need extreme aspect ratios like 8:1 (both 2 and 2.1 support them; only Nano Banana 2 offers 512px)
- Your scene has many objects to keep accurate
- You want images grounded in real photos via Image Search
- You use the free Gemini app
Pick Nano Banana Pro if
- The image is a final, client-facing asset
- It's text-heavy: infographics, menus, diagrams, multilingual layouts
- You need brand consistency from style-reference images
- You're keeping up to five people consistent across a series
- Factual accuracy matters more than speed or cost
Consider Nano Banana 2.1 first
Google's API docs now say Nano Banana 2.1 is "recommended for all new projects," and the API model list calls it the primary high-efficiency workhorse. Nano Banana 2's API model is deprecated. It keeps Flash speed, improves visual quality and text, and supports 1K, 2K and 4K (not 512px). It also allows a medium thinking level. If you're starting a new build today, test 2.1 next to Pro, and don't build new work on the deprecated Nano Banana 2 model.
For a wider look at tools beyond Google, see our roundup of the best free AI image generators, or the Midjourney alternatives guide. If you're moving off an older Google model, our post on the Imagen shutdown covers the migration.
Key points
- Nano Banana 2 (Gemini 3.1 Flash Image) is the fast, cheaper model: 512px to 4K, 14 aspect ratios, Image Search grounding, up to 10 object references.
- Nano Banana Pro (Gemini 3 Pro Image) is the premium model: complex layouts, precise text, style references, up to 5 consistent characters.
- In the Gemini app, Nano Banana 2 is free and Pro sits behind "Redo with Pro" on paid plans.
- Nano Banana 2.1 is now Google's recommended default for new API projects, and Nano Banana 2's API model (
gemini-3.1-flash-image) is deprecated.
FAQ
Is Nano Banana 2 better than Nano Banana Pro?
Not across the board. Nano Banana 2 is faster, cheaper, and has more aspect ratios and object references. Pro is stronger on complex layouts, dense text, style matching and factual accuracy. Google itself recommends Pro for "high-fidelity tasks."
Is there a Nano Banana 2 Pro?
No. Google sells Nano Banana Pro, Nano Banana 2, Nano Banana 2 Lite and Nano Banana 2.1, but nothing called "Nano Banana 2 Pro."
Can I use Nano Banana Pro for free?
Not in the Gemini app today. Free users get Nano Banana 2, and Pro is available to Google AI Pro, Plus and Ultra subscribers through "Redo with Pro." The API pricing page lists no free tier for either model.
Are Nano Banana images watermarked?
Yes. All images from both models include an invisible SynthID watermark. Gemini app images also show a visible one.
How do I write better prompts for either model?
Be specific about subject, setting, lighting, style and aspect ratio. Our guide to writing a prompt for an AI image walks through it step by step.
If you'd rather start from an image workflow someone already tuned than rebuild prompts from scratch every time, Taku lets you mirror a working AI setup into a desktop workspace, remix it, and save it to run again. Taku is in Beta, and the Mac app is available now.