Nano Banana 2.1: What Changed, What’s Confirmed, and How to Prompt It

Google released Nano Banana 2.1 on October 6, 2026, as an update to Nano Banana 2. It is now available on Fiddl.art.

Opinion on the model is split. Google’s own tests and a crowd-voted leaderboard rate it above Nano Banana 2. In launch-week comments, however, some users said it ignores their instructions, over-sharpens images, or adds detail they never asked for. Others said the images look much better. Both camps have a point, and independent testing has not settled the question.

This guide covers what Google says changed, what is confirmed on price and access, and how to word prompts so Nano Banana 2.1 does what is asked of it. It also shows how to use the model on Fiddl.art. Where the evidence is thin or comes only from Google, the guide says so.

Nano Banana 2.1 in 60 seconds

Nano Banana 2.1 is an update to Nano Banana 2, Google’s fast “Flash-tier” image model. Google’s model card says it is built on Gemini 3.6 Flash.

What changed from Nano Banana 2

Google lists these improvements:

• Better visual quality and realism
• Better text rendering and infographic layout
• Mask-style editing, where one part of an image changes and the rest stays untouched
• Better consistency for characters and subjects across edits
• Fixes for odd tiling on very wide or very tall images (1:4, 4:1, 1:8 and 8:1)
• More thinking before the model draws, with “medium” as the default level. Nano Banana 2 defaulted to “minimal.”

These are Google’s claims. The sections below cover what outside evidence says about them.

What did not change

Nano Banana 2.1 does not replace the rest of the family. Nano Banana Pro and Nano Banana 2 Lite still exist, and Google positions Pro for the most demanding work. That puts 2.1 in the middle: the everyday model, with Pro above it.

Is Nano Banana 2.1 better than Nano Banana 2 and Pro?

On the available evidence, Nano Banana 2.1 looks better than Nano Banana 2 on average. Against Nano Banana Pro, the question is open.

What Google’s own tests say

Google’s model card rates Nano Banana 2.1 ahead of both Nano Banana 2 and Pro on overall image preference, editing, and consistency across multiple characters. These are Google’s evaluations of Google’s own models, and no independent lab had reproduced them at launch. They are a claim, not proof.

What the Arena leaderboard says

Arena is a leaderboard where people vote between images. At launch it placed Nano Banana 2.1 fifth for text-to-image (1,328 points), sixth for image editing (1,428) and fourth for multi-image editing (1,431). That put it above the earlier Nano Banana models, including Pro, and behind OpenAI’s GPT Image 2.5. Arena marked the entry as preliminary, and its rankings change daily. The current numbers are on the Arena leaderboard.

What hands-on checks say

Independent hands-on results are limited and mixed. The Decoder ran its standard test prompt on both models and found that Pro produced the more natural-looking image, with better colors and proportions. That is one outlet and one prompt set, so it is a single data point. It does not show that Pro wins in general.

Which model for which job

Nothing published settles this, so the guidance here is a judgment drawn from the evidence above:

• Nano Banana 2.1 is a reasonable first choice for everyday generation and editing, since Google’s own tests and Arena both put it ahead of Nano Banana 2.
• Nano Banana Pro remains the safer pick where a face has to match a reference or a single image will be scrutinized at full size. Google positions Pro for its most demanding work, and one outside tester found Pro stronger on likeness.
• GPT Image 2 and GPT Image 2.5 are also available on Fiddl.art. Arena placed GPT Image 2.5 ahead of Nano Banana 2.1 at launch, so running the same prompt through both is a reasonable check when the result matters.

“Nano Banana 2.1 ignores my prompt”: what people report and what to try

What people are reporting

Launch-week comments on Reddit and YouTube were mixed. Some users praised the results. Others reported problems with instruction following and image style.

• Ignored instructions. One YouTube commenter wrote that 2.1 “actively ignore my prompts and does whatever it wants.” Reddit threads relayed by Atlas Cloud, a vendor that sells access to image models, described the model as “completely deaf” and as filling blank areas with furniture and backgrounds that were never requested.
• Over-sharpening and extra detail. Another YouTube commenter described 2.1’s output as overly sharp. A third said it looks as if “DLSS5” was turned on, with texture and detail that feel like overkill in some images.
• Quiet downgrade of the old model. Some commenters believe older models degrade so that new ones look better. No one in the threads offered evidence for this.
• Not much new. One Reddit commenter said Nano Banana 2.0 could produce the same image, and called 2.1 a model that feels “distilled” from 2.0’s outputs.

On the other side, one commenter said the model follows requests fine in the Gemini app, and other users called the images much better. These are user reports from small samples, so none of them shows how the model behaves in general.

The thinking-level theory

Nano Banana 2 defaulted to minimal thinking, and Nano Banana 2.1 defaults to medium. Atlas Cloud argues that a model which reasons before drawing will reinterpret loose wording more than one that renders it literally, and that this explains most of the complaints.

The theory is plausible but unproven. It rests on one vendor’s test of a single prompt, run at three thinking levels. In that test, all three levels honored the text, the count and the blank space. The vendor concluded that explicit “nothing else” and “stays blank” clauses did more work than the thinking setting. Google has not confirmed the theory.

Say what must stay

Whatever the cause, spelling out constraints is the most consistent advice in the sources. Three patterns:

1. Edits: name what changes and what stays. Google’s own template for mask-style edits tells the model to change only one named element and to keep everything else the same, preserving the original style, lighting and composition. Its example swaps a blue sofa for a brown leather one while the pillows and lighting stay put.
2. Text: spell out the exact words. Write the lettering as it should appear, in capitals if capitals are wanted. Check every result, because Google’s own notes say small text can still blur.
3. Empty space and extras: say so. If an area should stay blank, the prompt can say so directly. If no decorations or extra words are wanted, the prompt can say that too.

JSON or plain sentences?

The most-discussed Reddit prompt of the launch was a long JSON block, posted in r/GeminiAI under the title “Nano Banana 2.1 goes crazy.” The poster argued that models process JSON more easily and get clearer information about what is wanted, which makes it more effective than loose description. The top comment asked what kind of prompt that was, and skeptics called such prompts overly complex. One commenter wrote that a human could have been raised to that age in the time it took to write the prompt.

Another user posted a plain-prose rewrite of the same prompt. Whether that rewrite matched the JSON version cannot be judged from the text of the thread, so this guide does not call a winner. The sources do not settle the question. What the two versions share is specificity: both spell out subject, lighting, setting and what to avoid. Plain sentences that say exactly what is wanted and what is not are a reasonable place to start, with structure as an option if the result needs it.

Nano Banana 2.1 prompt examples to copy

These prompts follow the patterns above. They have not been run for this guide, so results will vary.

A simple structure

The examples use plain descriptive sentences. A workable order is: the task, the subject, the setting, the camera or composition, the lighting, the style, any exact text in quotation marks, and what must stay unchanged. This order is a suggestion, not a formula documented by Google.

Product hero shot

Create a photorealistic product photo of a frosted glass serum bottle with a gold dropper on a wet slate surface, shallow depth of field, 85mm lens, soft window light from the left, subtle water droplets, clean luxury skincare aesthetic.

Poster with text

Design a minimalist concert poster in a Swiss grid style. Large bold headline "NIGHT SIGNALS", subtitle "Live at Harbor Hall, Nov 14", deep navy background with a single orange circle, generous whitespace.

Short headlines are the safer bet here, since Google says small text can still blur.

Targeted edit

Using the input photo, change only the jacket to a camel wool overcoat. Keep the face, hair, pose, background and lighting exactly the same.

Infographic

Make a clean vertical infographic titled "How Solar Panels Work" with four numbered steps, simple flat icons, a teal and white palette and short readable labels.

Panoramic banner (8:1)

Ultra-wide panoramic banner of a misty pine forest at sunrise, layered mountain ridges, warm light rays, cinematic color grade, no text.

Fiddl.art’s aspect ratio picker includes 4:1 and 8:1, so wide formats like this one can be generated there.

For more starting points, Fiddl.art’s AI image prompt examples can be adapted for this model.

Nano Banana 2.1 pricing, access and shutdown: what’s confirmed

The facts in this section come from Google’s documentation as of the first days after launch, so they may have moved since. Where Google’s pages or the reports about them disagree, this section says so.

API price at 1K, 2K and 4K

On Google’s Gemini API, Nano Banana 2.1 charges per image output:

The headline “half price” holds at 1K and 2K. At 4K the cut is about 25%. Some early articles printed $0.0756 for 4K, which was the launch-day figure. Google’s pricing page was later revised to a higher token count for a 4K image, which gives $0.113. One report notes that a table in Google’s image generation guide still lists the older figure, so Google’s own pages disagreed for a time. The pricing page is the one that states what each image costs.

The per-image saving is not the full bill. Input tokens now cost style=background:#121212.50 per million, up from $0.50, and text and thinking output costs $7.50 per million, up from $3. Thinking tokens are billed, and Google does not publish how many a given image uses, so a request costs somewhat more than the image price alone. Nano Banana 2.1 also drops the 512px size that Nano Banana 2 offered, and the API has no free tier.

None of this changes what a web-app user pays. Fiddl.art prices its own points, covered later in this guide.

Gemini app and Flow access

Google says Nano Banana 2.1 is rolling out across the Gemini app, AI Mode in Search, Google AI Studio, Flow, Stitch, Google Ads and Gemini Enterprise. A rollout reaches accounts at different times, so not seeing the model on a given day does not mean it is blocked.

Reports on the Gemini app conflict:

• One report as of October 7 said the app’s help pages still described Nano Banana 2, the release notes had no 2.1 entry, and Google had not published per-plan limits for 2.1.
• Atlas Cloud, writing on October 10, said Google’s image generation page lists Nano Banana 2 under the Free plan and reserves 2.1 for Google AI Pro, Plus and Ultra subscribers.
• Fello AI said 2.1 can be tried free in AI Mode in Search and in the Gemini app, subject to each plan’s daily limits.

These cannot all be right, and the pages may simply have changed between dates. The guide makes no claim about free access in the Gemini app. Google’s own pages are the place to check.

Google Flow is the clearer case. One report says Flow lists Nano Banana 2.1 as its standard image model, with Nano Banana 2 Lite and Pro still available. Google has not published what a 2.1 image costs in Flow credits.

Nano Banana 2: deprecated, with no shutdown date announced

Google marked Nano Banana 2 (gemini-3.1-flash-image) as deprecated on October 6 and named 2.1 as the replacement. Several outlets reported at the time that Google’s schedule listed October 29, 2026 as the earliest shutdown date. Google removed that date on October 7, and its release notes and deprecations page now say no shutdown date has been announced.

For developers, the practical advice in the sources is to move to 2.1 early, because a date could still be set. A migration means changing the model ID, dropping any 512px requests and choosing a thinking level on purpose. Google’s changelog is the place to watch for an announcement.

How to use Nano Banana 2.1 on Fiddl.art

Step by step

1. Open the Create page on Fiddl.art.
2. Select Google Nano Banana 2.1 as the model.
3. Write the prompt, using the patterns from the section above: name what changes, name what stays, spell out any exact text, and say what to leave out.
4. Choose an aspect ratio. The picker includes wide formats such as 4:1 and 8:1, which suit headers and banners.
5. Set the count. Up to 10 images can be generated per run.
6. Optionally, tap Add Images to upload an input image, for example to edit an existing photo.
7. Choose Create Public or Create Private.

Cost and visibility

Fiddl.art charges in points, and credits must be purchased to use Nano Banana 2.1. Credits can be bought directly, or through a subscription, which is optional. The Create screen shows the current point cost on the model selector and on each create button, so the price is visible before anything is generated. Public creations appear in the community feed, according to the note on the Create screen.

Downloading the result

The download window tells the user “You own this image” and offers three options:

• Original
• HD JPG
• 4K Upscale

The 4K option is an upscale of the generated image. It is not Google’s native 4K output tier, which is the one priced at $0.113 per image on the API. The window notes that upscaling can take 30 seconds or more the first time.

More help with prompts

Fiddl.art’s guides on realistic photo prompts and making AI images look photorealistic apply to most image models. Fiddl.art’s Nano Banana 2.1 model page is the place to start with this model. Other models can be compared in the Models catalogue, and images from other creators are in Browse.

Reference images and character consistency

Google says Nano Banana 2.1 can keep up to four characters and ten objects consistent across up to 14 reference images. A repeatable workflow for a recurring character or mascot is below. It is a suggested approach and has not been tested for this guide.

1. Build a reference sheet. Generate or upload three to five clear images of the character: front, three-quarter, full body and a neutral expression.
2. Name each character in the prompt. For example: “Character A (red hair, freckles, green jacket) from references 1–3.”
3. Add object references separately. Logos, products and props each get their own image.
4. Change one thing per scene. Swap the location or the action, but not both along with the outfit.
5. Reuse the best output as a new reference for the next shot, to keep drift under control.

For the same face across a large number of images, Fiddl.art’s Forge tool trains a custom model. Fiddl.art’s character consistency guide compares the approaches.

What Nano Banana 2.1 still can’t do

Google’s model card lists the model’s own limits. These are Google’s words about its model, not results from outside testing.

• Small text can blur, especially at 1K. Long paragraphs and page-length text are also weak spots.
• Characters are not always consistent between an input image and the output.
• Mask-style edits follow instructions only partly. The marks drawn to show the edit area can persist in the result.
• Edits sometimes keep the subject’s original pose.
• Left and right can get mixed up.
• World knowledge, 3D reasoning and factual accuracy are limited. Google’s infographic accuracy score is a measure from an automated rater, not a guarantee that a diagram’s facts are correct.
• Requests can occasionally be slow or time out.

Other documented limits:

• The model has no 512px size.
• In Google’s API, image-search grounding cannot use real-world photos of people.
• Google says every image the model generates carries an invisible SynthID watermark. Fiddl.art does not add a watermark of its own to downloads.

The practical takeaway is to proofread any lettering and check every label before an image is published.

Nano Banana 2.1 FAQ

When was Nano Banana 2.1 released?

Google released Nano Banana 2.1 on October 6, 2026. It launched as a generally available model in the Gemini API, with no preview period.

Is Nano Banana 2.1 better than Nano Banana 2?

On average, the evidence says yes. Google’s own tests and the Arena leaderboard both rate it above Nano Banana 2. Some users nonetheless report weaker instruction following, covered in the prompting section above.

Is Nano Banana 2.1 better than Nano Banana Pro?

That is not settled. Google’s own tests rate 2.1 ahead of Pro, but they are Google’s evaluations of Google’s models. Arena’s crowd votes also put 2.1 above Pro, though behind GPT Image 2.5, and at least one outside check found Pro looked more natural. The right choice depends on the job.

Is Nano Banana 2.1 free?

Google’s Gemini API has no free tier for the model. Whether the Gemini app offers it free, and under which plan, is unclear, because reports conflict. On Fiddl.art, credits must be purchased to use the model, and the Create screen shows the point cost before anything is generated.

Can Nano Banana 2 still be used?

Yes, on Fiddl.art. Nano Banana 2 is still selectable there, and like Nano Banana 2.1 it requires purchased credits. In Google’s own API, Nano Banana 2 was marked as deprecated on October 6, and no shutdown date has been announced.

Does Nano Banana 2.1 need a different prompt?

Probably a more explicit one. The model thinks more before drawing, and users who report problems describe it overriding loose wording. Prompts that say what to change, what to keep and what to leave out are the most consistent advice in the sources, though no test here proves they work better.

Try Nano Banana 2.1 on Fiddl.art

Open the Nano Banana 2.1 model page on Fiddl.art, or go straight to the Create page, where Google Nano Banana 2.1 is ready to use. Prompts that name what must stay, spell out exact text and say what to leave out give the model the clearest instructions.