In the Nano Banana 2 vs GPT Image comparison for editing photos, neither model wins every job. Nano Banana 2 is Google's fast model with native 4K output and many aspect ratios. GPT Image 2.5 is OpenAI's model and a strong second opinion on complex, multi-part edits. For a photo you care about, run the same prompt on both and keep the better result.
This guide is about editing a picture you already have, not making one from scratch. If you're new to that idea, start with what image to image AI is.
What each model is
Nano Banana 2 (Google)
Nano Banana 2 is the nickname for Gemini 3.1 Flash Image, which Google announced on February 26, 2026. It's built on the Flash architecture, so speed is the point. Google describes it as following complex requests more strictly than earlier Flash image models, rendering legible text, and translating text inside an image. It can also use Google Search grounding when it generates.
As of November 2026, Google has also released Nano Banana 2.1, an October 2026 update it recommends for new API projects (see the Gemini API release notes). Everything in this post refers to Nano Banana 2, the model behind ImageToImage AI's Standard and HD tiers.
GPT Image 2.5 (OpenAI)
GPT Image is OpenAI's family of image models. As of November 2026, the current version is GPT Image 2.5, released on September 8, 2026 in two API variants:
- Sunburst, which OpenAI calls its "most capable model for image generation and editing" and recommends when editing precision matters most.
- Flare, described as its fastest model for high-quality everyday image generation.
The older GPT Image 1 is listed as shut down on OpenAI's models page, so the "gpt image 1" results you find in search are now out of date. On ImageToImage AI, the Pro tier runs GPT Image 2.5 through the site's provider.
How they compare on real photo edits
A note on sources: specs below come from Google's and OpenAI's own documentation, as of November 2026. Comments about typical behavior come from practical use. They are not benchmarks, and results vary a lot by photo and prompt.
Faces and likeness
Both models read your photo and try to keep the person recognizable, but both redraw the whole frame, so a face can drift. OpenAI's prompting guide says the 2.5 models improve "precise editing and subject preservation," and recommends spelling out what must not change: face, facial features, skin tone, body shape, pose. Google's Gemini docs support character consistency for up to four people in one workflow.
In practical use, both keep a large, well-lit face recognizable on simple edits. Differences show up with small faces, group shots and heavy restyles, and which model does better changes from photo to photo.
Following multi-part instructions
This is where people most often switch models. A prompt like "new background, change the jacket, keep the watch, warmer light" has four parts, and any model can drop one. Google says Nano Banana 2 follows complex requests more strictly than earlier Flash models. OpenAI positions Sunburst for precise editing work.
In practice, if one model ignores part of a long instruction, the other is a sensible next try before you rewrite the prompt. Splitting the edit into steps still helps with both.
Text in images
Google says Nano Banana 2 renders "accurate, legible text" and can localize text in an image into another language, which is useful for translating a sign or a menu photo. OpenAI's image generation guide says text is "significantly improved" but still lists precise text placement and clarity as a known limitation.
For both models, short quoted text works best. Long paragraphs, small print and non-Latin scripts still need a close look before you publish.
Style transfer
Restyling a photo as a watercolor, cartoon or 3D render works on both. The difference is mostly taste: each model has its own default look for the same style word. OpenAI's guide suggests telling the model exactly which role a style plays (palette, texture or medium) instead of just naming an art style, and that advice helps with Nano Banana 2 as well.
Background swaps
Both handle "same person, new place" edits. The two things to check are edges (hair, glasses, fingers) and lighting: does the subject look lit by the new scene, or pasted in? Asking for matched lighting in the prompt helps on both. For more on this job, see how to change a photo background with AI.
Product and label fidelity
This is the hardest test for any instruction-based editor. Logos, small print on labels and product shapes can shift by a letter or a curve. OpenAI's own guide recommends saying "preserve product geometry and label legibility exactly," and, for areas that must stay pixel-identical, compositing the approved edit back onto the original rather than trusting the prompt alone. That advice applies to Nano Banana 2 too.
If you only need to remove something and keep every other pixel, a masked tool is the safer choice. Remove object from image copies everything you didn't brush back from the original.
Speed
Google's selling point for Nano Banana 2 is Flash speed. OpenAI's guide notes that complex prompts can take up to two minutes to process, and positions Flare as the faster 2.5 variant. On ImageToImage AI, most runs take 15 to 40 seconds, so speed matters less there than which result you prefer.
Resolution and aspect ratios
As of November 2026, Google's image generation docs list 512px, 1K, 2K and 4K output for Nano Banana 2 (up to 4096x4096 at 1:1), and 14 aspect ratios: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9, plus the extreme 1:4, 4:1, 1:8 and 8:1.
OpenAI's guide lets GPT Image 2.5 use custom sizes with edges in multiples of 16, a long edge up to 3840 px and a ratio no wider than 3:1. It marks anything above 2560x1440 as experimental.
On ImageToImage AI, Standard (Nano Banana 2) and Pro (GPT Image) both output at 2K. HD is Nano Banana 2 at 4K.
Nano Banana 2 vs GPT Image: summary table
| Nano Banana 2 | GPT Image 2.5 | |
|---|---|---|
| Maker | Google (Gemini 3.1 Flash Image) | OpenAI (Sunburst and Flare variants) |
| Positioning | Fast, high-volume editing | Sunburst for precise editing, Flare for speed |
| Max documented output | 4K (4096x4096 at 1:1) | Long edge up to 3840 px, above 2560x1440 experimental |
| Aspect ratios | 14 fixed ratios, from 1:8 to 8:1 | Custom sizes, up to 3:1 |
| Text in images | Legible text, in-image translation | Improved; placement still a listed limitation |
| Faces and likeness | Good on simple edits; varies by prompt | Good on simple edits; varies by prompt |
| Long instructions | Can drop a part; try steps or the other model | Can drop a part; try steps or the other model |
| On ImageToImage AI | Standard 2K (5 credits), HD 4K (8 credits) | Pro 2K (6 credits) |
The "faces" and "long instructions" rows come from practical use, not from a benchmark. Everything else comes from the official docs linked above, as of November 2026.
Which to pick for which job
- Everyday restyles, outfit changes, simple background swaps: start with Nano Banana 2. It's the cheaper tier and usually all you need.
- A long, multi-part instruction that one model keeps getting wrong: try GPT Image as a second opinion before you rewrite the prompt.
- Anything that will be printed, shown on a big screen or cropped hard: Nano Banana 2 at 4K (HD).
- Very wide banners or tall strips: Nano Banana 2, for its documented 21:9, 4:1 and 8:1 ratios.
- Translating text in a photo, such as a menu or sign: Nano Banana 2, which Google documents for in-image localization.
- Product shots with labels and logos: run both, zoom in on the label, and keep the one that changed it least.
- Portraits and headshots: run both. Likeness is what you're judging, and only you can judge it.
The short rule from our image to image guide still holds: try Standard first, move to Pro if the edit is wrong, move to HD if the edit is right but too small.
How to compare them yourself on the same photo
On the ImageToImage AI tool you can run both models on the same upload. Standard and HD use Nano Banana 2, and Pro uses GPT Image. Here's a fair side-by-side method:
- Pick one photo that matters to you: a clear portrait, a product shot or a room. Use the same file for every run.
- Write one prompt and paste the exact same text into both runs. Change nothing between them.
- Keep the original aspect ratio for both, so neither model is reframing the scene.
- Run Standard, then Pro. Both output 2K, so you're comparing like with like.
- Use the before/after slider on each result. Check faces, hands, edges, text and anything you asked to keep.
- Score each result on three questions. Did it make every change I asked for? Did it keep everything I said to keep? Would I use it as is?
- Run each prompt twice if the results are close. Both models vary between runs, and one lucky result doesn't prove anything.
A Standard run plus a Pro run costs 11 credits. Signed-in users get 10 free credits a day, which covers two Standard runs, so a full side-by-side needs a few purchased credits. See pricing for packs and the Pro plan.
Five test prompts that show the differences
Each prompt targets a different weak spot. For more prompts that work well with Google's model, see Nano Banana prompts for photo editing.
1. Likeness under a heavy restyle
Turn this portrait into a hand-painted gouache illustration with flat colors and visible brush texture. Keep her face, facial features, skin tone, hairstyle and expression exactly the same.2. A four-part instruction
Replace the background with a rooftop bar at dusk, change his gray T-shirt to a dark green linen shirt, add warm string lights behind him, and keep his face, watch and pose unchanged.3. Text in the image
Add a small chalkboard sign on the table that reads "FRESH TODAY" in white hand-lettered capitals. Keep everything else in the photo the same.4. Product and label fidelity
Place this bottle on a wet black stone surface with soft blue rim light and a dark background. Preserve the bottle shape, cap and the label text and logo exactly.5. Background swap with matched lighting
Move this person to a snowy forest clearing on an overcast day. Match the light and color on her to the new scene, keep clean edges around her hair, and keep her face and coat unchanged.After each pair, zoom in on what the prompt was testing: the face in 1, all four changes in 2, the spelling in 3, the label in 4, and hair edges and lighting in 5.
FAQ
Is Nano Banana 2 the same as Gemini 3.1 Flash Image?
Yes. Nano Banana 2 is Google's nickname for Gemini 3.1 Flash Image, announced on February 26, 2026. As of November 2026, Google has also released Nano Banana 2.1 as an update.
What is the latest GPT Image model?
As of November 2026, it's GPT Image 2.5, released on September 8, 2026 in two variants: Sunburst for precise editing and Flare for fast everyday generation.
Is GPT Image 1 still available?
No. OpenAI's models page lists GPT Image 1 as shut down as of November 2026. Comparisons that mention GPT Image 1 describe an older model.
Which is better for editing faces, Nano Banana 2 or GPT Image?
Neither wins every time. Both keep a clear face recognizable on simple edits, and results vary by photo and prompt. Run the same prompt on both and compare with the before/after slider.
Which model gives higher resolution?
Nano Banana 2 documents output up to 4K. OpenAI's guide allows GPT Image 2.5 a long edge up to 3840 px and marks sizes above 2560x1440 as experimental. On ImageToImage AI, Standard and Pro output at 2K, and HD is Nano Banana 2 at 4K.
Can I try both models for free?
Free daily runs use Standard (Nano Banana 2). Without an account you get one free Standard image a day; signed in, you get 10 free credits a day. A Pro (GPT Image) run costs 6 credits, so a full side-by-side usually needs a credit pack or the Pro plan.
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