Nano Banana 2.1 AI Image Generator & Photo Editor

What is Nano Banana 2.1?

Nano Banana 2.1 is Google's newest AI image generation and editing model. It was released on October 6, 2026 and rolled out to Google Search's AI Mode the same day. It is an update to Nano Banana 2, not a different family — the whole point of the release is refinement: better image quality, closer prompt adherence, text that renders correctly, and subjects that survive repeated edits.

It is available as a generally available API model under the ID gemini-nano-banana-2.1, and Google's own model documentation recommends it as the default choice for new projects.

Nano Banana 2.1 vs Nano Banana 2

Nano Banana 2.1 is an incremental update in name and a meaningful one in practice. Here is what actually changed.

Comparison based on Google's published model documentation for Nano Banana 2.1 and Nano Banana 2.

Capability	Nano Banana 2	Nano Banana 2.1
Visual quality	Strong baseline output	Improved at 1K, 2K and 4K
Prompt adherence	Baseline	Improved — sticks closer to detailed instructions
Text rendering inside the image	Baseline	More accurate text and better infographic layouts
Multi-turn editing	Baseline	Stronger character consistency across edit turns
Very wide and tall ratios (1:4, 4:1, 1:8, 8:1)	Tiling artifacts possible at 2K / 4K	Tiling artifacts fixed at 2K / 4K
Google Search grounding	Web + Image Search	Web + Image Search — unchanged
Output resolution	512px / 1K / 2K / 4K	1K / 2K / 4K — 512px dropped
Speed and cost profile	Flash tier	Flash tier — Google says 2.1 keeps Flash-level speed and cost
SynthID watermark	Yes	Yes

In short: Nano Banana 2.1 is not a new generation. It is the version where the parts of Nano Banana 2 you notice in real work — text inside the image and subjects drifting across edits — got the attention. Search grounding and the 14-image reference limit are unchanged. If you already generate images on Nano Banana 2, switching is mostly a model-ID swap; the two catches are that 2.1 has no 512px output and defaults to medium thinking instead of minimal. Full Nano Banana 2.1 vs 2 comparison →

Which Nano Banana model should you use?

Google's Gemini API docs now list five Nano Banana models side by side, and the differences are not obvious from the names. Here is the decision, in the order most people should make it.

Model IDs as listed in Google's Gemini API documentation on October 7, 2026. Google renames and retires models — check the models and deprecations pages before you hard-code one.

Model	Use it when	Avoid it when
Nano Banana 2.1 gemini-nano-banana-2.1 default choice	Almost everything new. Google's documentation recommends it for all new projects: Flash-tier speed and cost, 1K to 4K output, up to 14 reference images, and Google Web and Image Search grounding.	You need style reference images or the absolute highest fidelity on a complex composition — that is what Pro is for.
Nano Banana 2 Lite gemini-3.1-flash-lite-image fastest, cheapest	Simple single-image generation from a short prompt, at volume, where speed and cost matter more than polish. Output is 1K only.	Your prompt uses multiple reference images, or you are doing long multi-turn editing. Google's documentation says Lite is not optimized for either. It also has no Search grounding.
Nano Banana Pro gemini-3-pro-image	Complex layouts, dense text, style reference images (up to 3) or up to 5 consistent characters — high-fidelity work where you will pay for it.	You are generating at volume on a thin margin.
Nano Banana 2 gemini-3.1-flash-image	An existing pipeline already tuned to it, or you need 512px output, which 2.1 does not offer.	You are starting something new — Google now calls it the previous-generation model and recommends 2.1 instead.
Nano Banana (original) gemini-2.5-flash-image	Reproducing an old result exactly as it was.	Anything else. Google's docs treat it as the legacy model of the series and point to 2 Lite as its replacement.

This site runs Nano Banana 2.1. If your job is better served by Lite or Pro, use the official API directly — we would rather point you at the right model than sell you a worse fit.

How to use Nano Banana 2.1

1. Write the prompt as a description, not as keywords. 2.1 follows natural sentences well. Name the subject, the setting, the lighting and the mood — "a cozy bookshop on a rainy Taipei street, warm window light, cinematic" beats "bookshop rain cinematic".
2. Quote the text you want to appear in the image. Any string that must render literally — a sign, a label, a poster headline — put it in quotes inside the prompt. Text rendering is one of the areas Google improved in 2.1, and quoting the exact string is the most reliable way to get it back verbatim.
3. Pick the resolution that matches where the image will live. 1K for previews, chat and social crops; 2K for blog and product shots; 4K only when the image is going to print or be cropped hard later. Resolution costs credits proportionally, so do not default to 4K.
4. Edit by describing the change, not by starting over. Follow-up prompts like "make the jacket red and keep the face the same" are what multi-turn consistency is for. Chaining edits is faster and cheaper than regenerating from a longer prompt.
5. Upscale at the end, not the beginning. Get the composition right at 1K first, then ask for the keeper at 4K as a follow-up edit on that image. Re-running the same prompt at 4K gives you a new composition, not a bigger copy — the model has no seed to reproduce a result. You will spend a fraction of what iterating at 4K costs.

More patterns and 24 copy-paste prompts in the Nano Banana 2.1 prompt guide.

Nano Banana 2.1 API

Nano Banana 2.1 is generally available in the Gemini API as gemini-nano-banana-2.1, and Google's documentation recommends it for new projects. You do not need this site to use it — call it yourself with Google's Interactions API:

curl -s -X POST \
  "https://generativelanguage.googleapis.com/v1beta/interactions" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-nano-banana-2.1",
    "input": "A product photo of a matte black coffee bag, the label reads \"ROAST NO.7\"",
    "response_format": {
      "type": "image",
      "aspect_ratio": "1:1",
      "image_size": "2K"
    }
  }'

Model IDs and endpoints are Google's and change without notice — confirm the current ID and endpoint in the Gemini API docs before you ship. Older tutorials that call generateContent use the interface Google now labels legacy. This site is a convenience layer over that same API: you get the interface, the credit handling and the history without building the pipeline. If you are generating at real volume, calling the API directly is cheaper.

Pricing

No subscription. Buy credits when you need them, they never expire. 1K costs 1 credit, 2K costs 2, 4K costs 4.

Two things we will not do: we do not sell watermark removal, because every image from this model carries an invisible SynthID watermark that we have no way to remove; and we do not offer a free tier, because the traffic here is not worth burning API budget on. If you want to use Nano Banana 2.1 for free, Google's own Gemini app and AI Mode in Google Search are the official free entry points and they are genuinely good.

FAQ

What is Nano Banana 2.1?

It is Google's newest AI image generation and editing model, released on October 6, 2026 and rolled out to Search's AI Mode the same day. It is an update to Nano Banana 2, focused on visual quality, prompt adherence, text rendering and multi-turn consistency, at up to 4K.

Is Nano Banana 2.1 free to use?

Generation on this site is credit-based and starts at $9, with no subscription. Google's own free ways to try it are the Gemini app and AI Mode in Google Search — if you only need occasional images, use those.

What is the difference between Nano Banana 2.1 and Nano Banana 2?

An update in four areas Google lists: improved visual quality, closer prompt adherence, more accurate text rendering inside the image, and stronger multi-turn consistency so an edited subject stays the same. It also fixes tiling artifacts on very wide and tall ratios at 2K and 4K. Search grounding is not new — Nano Banana 2 already had it — and 2.1 drops Nano Banana 2's 512px size. Full comparison.

Does Nano Banana 2.1 support 4K images?

Yes — 1K, 2K and 4K. Higher resolutions consume more output tokens, which is why they cost more credits here.

Can I use the Nano Banana 2.1 API?

Yes. It is generally available in the Gemini API under the model ID gemini-nano-banana-2.1. Call it directly if you are building your own product; use this site if you would rather not build the pipeline. See the API guide.

Do images generated with Nano Banana 2.1 have a watermark?

Yes. Google states that all images generated by the model include a SynthID watermark. It is invisible to the eye, it is not a logo in the corner, and it cannot be switched off — we have no way to remove it. We say this up front rather than sell you a removal we cannot perform.

Which Nano Banana model should I use — 2.1, 2 Lite, 2 or Pro?

Default to 2.1 for new work — Google's documentation recommends it for all new projects. Use 2 Lite when you want the fastest, cheapest 1K output from simple prompts and are not using multiple reference images or long editing chains. Use Nano Banana Pro when you need style reference images or maximum fidelity on complex compositions. Nano Banana 2 is now the previous generation, and the original Nano Banana remains for existing pipelines. 2.1 vs Pro.

Do I need a Google account to use this site?

No. You can generate without signing in — an account is only needed to keep your history and buy credits.

Is this the official Nano Banana 2.1 website?

No. This is an independent third-party tool built on Google's public Gemini API. It is not affiliated with, endorsed by or sponsored by Google, and "Nano Banana" is Google's product name, not ours.