Updated 2026-10-27

Nano Banana 2.1 vs GPT Image 2.5

For editing photos, GPT Image 2.5: in our ten same-photo edits it did better four times and Nano Banana 2.1 twice, with four ties. The exception is restoring old photos, where Nano Banana 2.1 kept the faces and the framing both times. For generating from a prompt the two were close in our eight tests at the same price (GPT Image 2.5 won once, by not adding words to a poster), so pick by format: Nano Banana 2.1 for 4K and very wide banners, GPT Image 2.5 for transparent cutouts.

Nano Banana 2.1 on zzo.ai costs 10 credits ($0.10) per image at 1K quality. GPT Image 2.5 on zzo.ai costs 15 credits ($0.15) per image at High quality.

Cinematic still
Nano Banana 2.1
Google
10 credits · $0.10 · per image at 1K
100 images: 1,000 credits, $9.09 with the $199.99 pack
Try Nano Banana 2.1
Same bottle, new setting
GPT Image 2.5
OpenAI
15 credits · $0.15 · per image at High
100 images: 1,500 credits, $13.64 with the $199.99 pack
Try GPT Image 2.5

Same prompt, both models

We ran each one ourselves on zzo.ai: the same prompt (and, for an edit, the same photo) with the site’s settings, once per model. Nothing was re-run to get a better take.

Restore a faded colour print: Nano Banana 2.1

Nano Banana 2.1 kept the whole frame, both faces and the brown suit, and removed the table and the border as asked. GPT Image 2.5 removed them too, but cropped in, redrew the faces and turned the suit grey, although the prompt says to keep clothing, faces and framing.

The photo we edited
The photo we edited · input image made with GPT Image 2.5
Nano Banana 2.1: Old photo restoration
Nano Banana 2.11K · 10 credits
GPT Image 2.5: Old photo restoration
GPT Image 2.5High · 15 credits
Prompt: “Restore the old photograph from the reference image. Show only the photo itself, filling the frame: no table, no paper border, no background around it. Remove all creases, folds, scratches, dust, stains and tears, rebuild any missing corner, and fix the faded and shifted colors. Colorize it with natural, realistic skin tones and period-appropriate clothing colors. Keep every person exactly as they are: same face, same features, same expression, same age, same hairstyle, same pose and same clothing. Do not beautify, slim, smooth or modernize anyone. Keep the original composition and framing. The result should look like a clean, well-preserved original photograph from the same era, not a modern photo.”

Restore and colourise a torn 1948 photo: Nano Banana 2.1

Both repaired the tear and the scratches and chose restrained colours. Nano Banana 2.1 kept all three faces close to the original. GPT Image 2.5 kept the worn border and the grain, but redrew the man on the right with a smoother, younger face.

The photo we edited
The photo we edited · input image made with GPT Image 2.5
Nano Banana 2.1: Restore and colourise
Nano Banana 2.12K · 15 credits
GPT Image 2.5: Restore and colourise
GPT Image 2.5High · 15 credits
Prompt: “Restore this damaged 1948 black-and-white family photograph while preserving the exact identities, ages, facial proportions, poses, clothing, porch architecture, framing, and historical period. Repair the lower-left tear, remove scratches and dust, recover balanced contrast and fine facial detail, and add restrained historically plausible natural color: weathered gray porch boards, muted cream and brown clothing, natural skin tones, and subdued green countryside. Do not beautify faces, change expressions, invent jewelry, alter clothing, add people, remove people, crop, modernize, add text, logo, or watermark. Keep subtle film grain so it remains an archival photograph rather than a modern digital portrait.”

New coat, rain and a word on the window: a tie

Both changed the coat, made it rain and kept her face, the cup, the bicycle and the plain back wall. GPT Image 2.5 made it evening and wrote OPEN LATE so it reads from inside, but dropped the teal bag strap. Nano Banana 2.1 kept the strap, but painted the words mirrored, as seen from the street, and kept more daylight.

The photo we edited
The photo we edited · input image made with GPT Image 2.5
Nano Banana 2.1: New coat, rain and window text
Nano Banana 2.11K · 10 credits
GPT Image 2.5: New coat, rain and window text
GPT Image 2.5High · 15 credits
Prompt: “Change her yellow rain jacket to a charcoal-grey wool coat. Make it a rainy evening outside the window, with wet street reflections. Write the words OPEN LATE in white painted letters on the window glass. Keep her face, hair, pose, the coffee cup, the table and the bicycle exactly the same.”

Remove an object: GPT Image 2.5

Both removed the sunflower and kept the face, the hat and the wall. GPT Image 2.5 lowered his hand out of the frame. Nano Banana 2.1 left the hand at his chest, closed around nothing.

The photo we edited
The photo we edited · input image made with GPT Image 2.5
Nano Banana 2.1: Remove an object
Nano Banana 2.11K · 10 credits
GPT Image 2.5: Remove an object
GPT Image 2.5High · 15 credits
Prompt: “Remove the flower from man's hand. Do not change anything else.”

Add a dog from a second photo: GPT Image 2.5

GPT Image 2.5 sat the dog beside her at the right size, in the same light. Nano Banana 2.1 stood the dog on the bench, larger and flatter, so it looks pasted in. The woman and the park stayed the same in both.

The photo we edited
1
The photo we edited
2
The photos we used, in order · input image made with GPT Image 2.5
Nano Banana 2.1: Add a dog from a second photo
Nano Banana 2.11K · 10 credits
GPT Image 2.5: Add a dog from a second photo
GPT Image 2.5High · 15 credits
Prompt: “Place the dog from the second image into the setting of image 1, right next to the woman, use the same style of lighting, composition and background. Do not change anything else.”

Clean up a cluttered table: GPT Image 2.5

Both removed every cable, plate and paper and kept the plant and the lamp. GPT Image 2.5 kept the rug and left a clean table. Nano Banana 2.1 removed the rug as well and left a faint dark patch where a mug stood.

The photo we edited
The photo we edited · input image made with GPT Image 2.5
Nano Banana 2.1: Clean up a photo
Nano Banana 2.11K · 10 credits
GPT Image 2.5: Clean up a photo
GPT Image 2.5High · 15 credits
Prompt: “Clean up this photo: remove the loose clutter around the plant (cables, mugs, dishes, food, papers, envelopes, boxes, clothes, laundry rack, vacuum, cleaning bottles, keys, slippers, toys, tissues) and fill the gaps naturally with the same surface, floor and wall. Keep the furniture, the room, the lighting and any date stamp as they are. Keep the plant, every leaf, the pot and the camera angle exactly as they are in the reference photo; do not add, remove or redesign any leaves, and do not change the pot.”

Summer to winter: GPT Image 2.5

Both kept the houses, the parked cars and the framing. GPT Image 2.5 gave a snowy evening with lit windows and falling snow. Nano Banana 2.1 made it wintry and dusky too, but with little falling snow and a dark rectangle left on the road.

The photo we edited
The photo we edited · input image made with GPT Image 2.5
Nano Banana 2.1: Summer to winter
Nano Banana 2.11K · 10 credits
GPT Image 2.5: Summer to winter
GPT Image 2.5High · 15 credits
Prompt: “Make it look like a winter evening with snowfall.”

Retouch a portrait: a tie

Both cleared the blemishes and the redness and kept his features, hair and expression. GPT Image 2.5 lit the face more evenly and turned the background bluer; Nano Banana 2.1 kept a little more skin texture.

The photo we edited
The photo we edited · input image made with GPT Image 2.5
Nano Banana 2.1: Portrait retouch
Nano Banana 2.11K · 10 credits
GPT Image 2.5: Portrait retouch
GPT Image 2.5High · 15 credits
Prompt: “Retouch this photo professionally: even out skin tone, reduce blemishes, sharpen focus, and balance lighting and color. Do not change the person's face shape, features, proportions, hairstyle, or expression. Keep the result looking like a real, unedited photo of the same person.”

Put a logo on a product: a tie

Both printed the logo below the dial and left the radio, the backdrop and the shadow alone. Nano Banana 2.1 set it on one line; GPT Image 2.5 stacked it smaller.

The photo we edited
1
The photo we edited
2
The photos we used, in order · input image made with Nano Banana 2.1
Nano Banana 2.1: Logo onto the product
Nano Banana 2.11K · 10 credits
GPT Image 2.5: Logo onto the product
GPT Image 2.5High · 15 credits
Prompt: “Take the radio from the first image. Print the LOW TIDE AUDIO logo from the second image onto the radio's front panel, below the cobalt dial, as a small, crisp cobalt-blue screen print that sits flat on the plaster texture. Keep the radio's shape, the cobalt dial, the speaker grille, the paper backdrop, the window light and the shadow exactly the same.”

Fix the date on a poster: a tie

Both changed Friday, October 17 to Saturday, October 18 and kept every other line. Neither left the rest untouched: outside the date line about 4% of pixels moved noticeably in both, and GPT Image 2.5’s version came out a shade darker. Compare the whole poster with your original.

The photo we edited
The photo we edited · input image made with GPT Image 2.5
Nano Banana 2.1: Fix the date on a poster
Nano Banana 2.11K · 10 credits
GPT Image 2.5: Fix the date on a poster
GPT Image 2.5High · 15 credits
Prompt: “Change the date line "Friday, October 17" so it reads "Saturday, October 18". Keep everything else exactly as it is.”

Concert poster with exact text: a tie

Both spelled every line, middle dot included, and added nothing. GPT Image 2.5 gave flat, full-bleed artwork; Nano Banana 2.1 showed the poster as a sheet lying on a surface, as Fuser also found.

Nano Banana 2.1: Concert poster
Nano Banana 2.12K · 15 credits
GPT Image 2.5: Concert poster
GPT Image 2.5High · 15 credits
Prompt: “A minimalist screen-printed concert poster on off-white paper. A large deep-blue wave shape fills the top half. Below it, the headline "NIGHT TIDE" in a bold condensed sans-serif, then "Live at Harbour Hall" in a lighter weight, then "Friday 14 November · Doors 8 PM", and at the bottom "harbourhall.com/nighttide" in small type. No other text.”

Coffee bag product shot: a tie

Both spelled SUMMIT ROAST cleanly and both added small print of their own (a net weight, a roast level), all spelled correctly. Add “no other text on the packaging” if the bag must say only what you wrote.

Nano Banana 2.1: Coffee bag product shot
Nano Banana 2.12K · 15 credits
GPT Image 2.5: Coffee bag product shot
GPT Image 2.5High · 15 credits
Prompt: “A premium product photo of a matte black coffee bag labeled SUMMIT ROAST with mountain line-art on rustic wood, soft window light, sharp readable packaging typography, photoreal commercial mockup”

Candid portrait: a tie

Both have the wrinkles, the tattoos, the net and the dog. GPT Image 2.5 is sharper and closer, with heavier skin detail; Nano Banana 2.1 reads more like a documentary photo, as CellCog also found.

Nano Banana 2.1: Candid portrait
Nano Banana 2.12K · 15 credits
GPT Image 2.5: Candid portrait
GPT Image 2.5High · 15 credits
Prompt: “Create a photorealistic candid photograph of an elderly sailor standing on a small fishing boat. He has weathered skin with visible wrinkles, pores, and sun texture, and a few faded traditional sailor tattoos on his arms. He is calmly adjusting a net while his dog sits nearby on the deck. Shot like a 35mm film photograph, medium close-up at eye level, using a 50mm lens. Soft coastal daylight, shallow depth of field, subtle film grain, natural color balance. The image should feel honest and unposed, with real skin texture, worn materials, and everyday detail. No glamorization, no heavy retouching.”

Two people in a studio: a tie

Both faces are sharp in both, with clay on his hands and window light from the left. Nano Banana 2.1 framed wider, with both people fully in the picture; GPT Image 2.5 framed tighter and cut the man at the edge.

Nano Banana 2.1: Documentary photo
Nano Banana 2.12K · 15 credits
GPT Image 2.5: Documentary photo
GPT Image 2.5High · 15 credits
Prompt: “Candid documentary photograph inside a small ceramics studio. A woman in her early thirties with freckles and curly dark hair laughs while handing a freshly glazed teal mug across a worktable to an older man with a short gray beard and clay-dusted hands. Both faces fully visible and in sharp focus, natural skin texture with visible pores and fine lines, no retouching. Late afternoon window light from the left, dust in the air, shelves of unglazed pots softly blurred behind them. Shot on a 50mm lens at f/2, warm film grain.”

Cinematic still: a tie

Both have the yellow staircase, the pink stucco and the green dress. GPT Image 2.5 shot from lower and closer, and added a MOTEL sign and room numbers nobody asked for. Nano Banana 2.1 stayed wider and plainer.

Nano Banana 2.1: Cinematic still
Nano Banana 2.12K · 15 credits
GPT Image 2.5: Cinematic still
GPT Image 2.5High · 15 credits
Prompt: “A 16:9 horizontal cinematic still, shot from street level looking up at the sharp diagonal steel exterior staircase of a two-story retro motel painted vibrant mustard-yellow against a flamingo-pink stucco facade. An adult woman in an emerald-green mini dress descends the staircase, her hand trailing along the yellow railing. The bright yellow, pink, and green color clash creates a delightful, sun-drenched cinematic mood.”

Jazz poster, does it add words? GPT Image 2.5

Both spelled MIDNIGHT BRASS and the date line. GPT Image 2.5 used exactly the requested text. Nano Banana 2.1 set the date line in capitals and added two lines of its own, LIVE JAZZ NIGHT and FEATURING SPECIAL GUESTS, just as in BulkImagen’s test of this prompt, which has no “No other text” line.

Nano Banana 2.1: Jazz night poster
Nano Banana 2.12K · 15 credits
GPT Image 2.5: Jazz night poster
GPT Image 2.5High · 15 credits
Prompt: “A vintage-style concert poster for a fictional jazz night. Headline in large bold letters: "MIDNIGHT BRASS". Below it, smaller: "Saturday, November 14 · Harbor Hall · Doors 8 PM". A stylized trumpet silhouette, deep navy and mustard yellow palette, subtle paper grain.”

Light show poster: a tie

Both spelled the headline and the subtitle exactly, middle dots and en dash included. GPT Image 2.5 drew an atmospheric garden with a bridge and a pavilion; Nano Banana 2.1 framed the title with flat, glowing leaves. Felo, whose prompt this is, saw the same split: GPT for mood, 2.1 for a graphic poster.

Nano Banana 2.1: Light show poster
Nano Banana 2.12K · 15 credits
GPT Image 2.5: Light show poster
GPT Image 2.5High · 15 credits
Prompt: “Design a square event poster with exactly this English headline: "NIGHT GARDEN". Add exactly this subtitle: "Botanical light show · Kyoto · 7–9 pm". Use luminous botanical silhouettes, deep forest green and warm amber, refined editorial typography, clear contrast, balanced margins, all text fully inside the canvas. Use natural English typography and line breaks without changing any characters. No other words, no translations, no logos, no watermark.”

The same poster in Japanese: a tie

Both wrote ナイトガーデン and 植物のライトショー・京都・19〜21時 correctly (we had the Japanese checked before publishing). Nano Banana 2.1 broke the subtitle over two lines and dropped the middle dot at the break; GPT Image 2.5 kept it on one line and added a pagoda to the garden. Felo saw both models keep the Japanese copy too, but have a native speaker read yours.

Nano Banana 2.1: Japanese event poster
Nano Banana 2.12K · 15 credits
GPT Image 2.5: Japanese event poster
GPT Image 2.5High · 15 credits
Prompt: “Design a square event poster with exactly this Japanese headline: "ナイトガーデン". Add exactly this subtitle: "植物のライトショー・京都・19〜21時". Use luminous botanical silhouettes, deep forest green and warm amber, refined editorial typography, clear contrast, balanced margins, all text fully inside the canvas. Use natural Japanese typography and line breaks without changing any characters. No other words, no translations, no logos, no watermark.”

Which to pick

zzo.ai sells both models, at the prices on this page. The picks follow the specs and limits listed here.

ScenarioPickWhy
Edit one thing, keep the restGPT Image 2.5Our tests above: better on four of ten edits, against two for Nano Banana 2.1. CellCog (25 October 2026) found the same: GPT Image 2.5 “left the wall, plant, shadows and framing almost untouched”, while Nano Banana 2.1 cropped every photo tighter.
Restore an old photoNano Banana 2.1In both of our restorations above it kept the faces and the framing that GPT Image 2.5 changed. WeShop’s 2.1 restoration test also kept all three identities.
Keep one face from a photoGPT Image 2.5, usuallyFuser: GPT Image 2.5 “carried the face over clearly”, while 2.1 loosened the curls and faded the freckles. Not every time: in BulkImagen’s Halloween test 2.1 kept the face better.
Product shot from a written briefNano Banana 2.1, narrowlyFuser and BulkImagen: 2.1 followed the set, the light and the empty space most literally. Atlas Cloud called it a tie, and CellCog preferred GPT Image 2.5 after 2.1 put a shadow on the wrong side.
Put a product in a new setting, unchangedGPT Image 2.5Fuser’s bottle edit: GPT Image 2.5 “changed nothing the prompt said to keep”; 2.1 kept the label but restyled the cap.
Posters and exact textEither, GPT Image 2.5 for exact copyBoth spelled every line on all five of our posters, including one in Japanese. But on MIDNIGHT BRASS, Nano Banana 2.1 added two lines nobody asked for, as it did in BulkImagen’s test, while GPT Image 2.5 kept to the copy. Fuser and CellCog found a tie, and Atlas Cloud preferred 2.1 for matching a footer exactly. End your prompt with “No other text”.
Natural, documentary-style photosEitherEven in our two portraits. GPT Image 2.5 is sharper with heavier skin detail, Nano Banana 2.1 looks more like a documentary photo (CellCog saw the same); Fuser gave GPT Image 2.5 a narrow win.
Add a pet or an object to a photoTry bothIn our dog test GPT Image 2.5 placed it naturally and Nano Banana 2.1 made it look pasted in. In CellCog’s cat test it went the other way: 2.1’s cat was “the most natural”.
Charts and infographicsNano Banana 2.1, check itCellCog: only 2.1 drew the bars to scale. But it can add words: BulkImagen found an extra sentence with a misspelling, and in our water-cycle test it named two stages “Condensation”.
Transparent PNGGPT Image 2.5Only GPT Image 2.5 returns a real transparent background. Nano Banana 2.1 always fills the background.
4K and very wide bannersNano Banana 2.1Nano Banana 2.1 goes up to 4K and to 4:1 and 8:1 banners. GPT Image 2.5 stops at 1280 pixels on the long side here, and at 16:9.

Specs side by side

Nano Banana 2.1GPT Image 2.5
DeveloperGoogleOpenAI
Released2026-10-06—
TypeImageImage
ModesText to image, Edit imageText to image, Edit image
Quality1K, 2K, 4KLow, Medium, High, Extra high, Max
Images per request44
Aspect ratios1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 21:9, 4:1, 8:11:1, 4:3, 3:4, 16:9, 9:16
Versions—GPT Image 2.5 Flare, GPT Image 2.5 Sunburst
Commercial useAllowed, under our termsAllowed, under our terms
Failed generationsCredits refunded automaticallyCredits refunded automatically
Starts at10 ($0.10)5 ($0.05)

How we tested

Each pair above is one prompt, and for an edit one photo, run once on each model on zzo.ai with the site’s own settings. Edits use GPT Image 2.5 at high quality and Nano Banana 2.1 at its default 1K (2K for the 1948 photo). Generations are at the same price per image: GPT Image 2.5 at high, Nano Banana 2.1 at 2K. The input photos are fictional and were made with AI. Every prompt comes from a published guide or test (OpenAI, Google, Fuser, Atlas Cloud, BulkImagen, WeShop, a Reddit user), and nothing was re-run to get a better take. One run per model is a tendency, not a benchmark.

What independent tests found

  • CellCog (24 prompts, 25 October 2026): GPT Image 2.5 won 9, Nano Banana 2.1 won 5, 10 ties. Without the transparency tasks, their average scores were 4.67 and 4.62.
  • Fuser (5 tasks, 6 October 2026): GPT Image 2.5 won the character task clearly and the photo and edit tasks narrowly; Nano Banana 2.1 won the product shot; the poster was a tie.
  • Atlas Cloud (4 rounds, October 2026): Nano Banana 2.1 took or shared three of the four rounds.
  • BulkImagen (6 prompts, 7 October 2026): GPT Image 2.5 was the only model with no visible defect in its run.
  • Arena crowd votes, as reported on 19 October 2026 and still preliminary: GPT Image 2.5 Sunburst ahead of Nano Banana 2.1 by about 100 points on both text-to-image and single-image editing.

All four test sites sell access to these models, and each ran a prompt once.

Where each one slips

  • Nano Banana 2.1: re-crops or restages edits, adds words you didn’t ask for, and can mirror or invent lettering on signs. Small text blurs at 1K.
  • GPT Image 2.5: can drop a small detail (a bag strap, a chalk underline) or change clothing in a restoration, and large plain areas can show a fine grain. No 4K and nothing wider than 16:9.

Questions

Which is cheaper, Nano Banana 2.1 or GPT Image 2.5?

Nano Banana 2.1 on zzo.ai costs 10 credits ($0.10) per image at 1K quality. GPT Image 2.5 on zzo.ai costs 15 credits ($0.15) per image at High quality. There is no subscription: buy credits once, use them on either model, and failed generations are refunded automatically.

Is Nano Banana 2.1 better than GPT Image 2.5?

Not overall. In our 18 same-prompt tests GPT Image 2.5 did better on four edits and one poster, Nano Banana 2.1 on two restorations, and the rest were ties. CellCog’s 24 prompts (25 October 2026) went 9 to 5 for GPT Image 2.5 with 10 ties; Atlas Cloud’s four rounds leaned to 2.1. Pick GPT Image 2.5 for edits and cutouts, Nano Banana 2.1 for restorations, 4K and wide banners.

Which is better for editing photos?

GPT Image 2.5 for most edits: removing an object, cleaning up a photo, changing the season or adding a pet went its way in our tests, and testers found Nano Banana 2.1 re-crops and redraws more. Nano Banana 2.1 for restoring old photos, where it kept the faces both times. Both take up to four photos in one edit here.

Which one keeps my face?

Usually GPT Image 2.5, but not every time, and neither keeps a face pixel for pixel. Name what must stay (face, features, hair, expression), change one thing per edit, and compare with your original.

Which one makes a transparent background?

Only GPT Image 2.5. Switch on Transparent background and you get a PNG with a real alpha channel. Nano Banana 2.1 doesn’t offer transparent output.

Which is faster?

They are close. CellCog measured a median of about 31 seconds for Nano Banana 2.1 at 2K and 29 for GPT Image 2.5 at high quality. In our own sample runs most Nano Banana 2.1 images took 15 to 36 seconds (one took 82) and GPT Image 2.5 images 19 to 32.

Can I use both with one account?

Yes. One account and one credit balance cover both models, on the website and through the API. Run the same prompt on each and keep the one you like.

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