$0.00 Price per image
0x Faster than Nano Banana Pro
Under 0s Time per edit
Krea 3
We distribute through the world’s leading organizations, helping them advance their industries:
Draw a box and say what changes. Krea 3 redraws inside it and leaves the rest of the image as it was.
Name a hex code and Krea 3 matches it on the product, and only on the product. Pick a swatch.
Original photo









Point at people, products, places and styles by number. Krea 3 puts them in one picture.
Change the styling, setting, and mood while keeping the face familiar. Explore character consistency across a sequence of edits.

1:1
2736 × 1536 px · native
Move to inspect
One image. Twelve identical prompts. Watch Krea 3, Nano Banana Pro, and GPT Image 2.5 work through the same edits side by side, then speed up playback to see the difference.
< 8 sec
~ $0.06 / edit 0 images
~ 26.8 sec
~ $0.135 / edit 0 images
~ 39.9 sec
~ $0.21 / edit 0 images
Pre-generated outputs, not a live benchmark. Krea 3 uses an illustrative playback time of 8s per edit. Nano Banana Pro uses 26.8s and GPT Image 2.5 Sunburst uses 39.9s: the median request-to-result time of each model's 12-image batch, including queue time. Each edit starts from the same original image. Each model loops continuously at its own pace. Costs are approximate USD list prices for 2K edits, excluding promotions. GPT Image 2.5 pricing is a draft estimate pending validation.
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Swap the product, the photo or the brand and keep the layout and type. Hold any piece to see what it started from.
Send a photo, then a voice note. Krea 3 answers with the edit before you finish your next thought.
Relight the low-angle gas-station plate in image 1 for night, keeping the camera, the action and both people.
“Change only her coat to cobalt blue.” Orange marks every pixel each model changed. Drag to compare.



Krea 3 0.00% precision*
Nano Banana Pro 0.00% precision*
*Precision is the share of pixels outside the edit area left unchanged. One attempt per model, 2K, same image and prompt; Krea 3 in Precise mode. Outputs are compared at quarter resolution after the best alignment, so a different output size does not count as a change.
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