Krea 3 edits a 2K image in under 8 seconds

On Krea's Krea 3 page, two models get one photo and the prompt "Change only her coat to cobalt blue", and every pixel each one changed is painted orange so Krea 3 and Nano Banana Pro can be compared side by side. Krea calls the resulting score precision: the share of pixels outside the edit area that stay unchanged.

Krea 3 is the company's new editing model. You draw a box and say what should change, and Krea 3 redraws only inside it. It can match a named hex code on the product and nowhere else, and it combines up to eight references (people, products, places, styles) that you refer to by number.

It also keeps a character's face familiar across new styling and settings, and it renders natively at 2K. The sample you can inspect with the loupe is 2736 × 1536 px. Krea shows edits driven by a photo plus a voice note, along with poster, packaging and cover swaps that keep the layout and type. According to Krea, a 2K edit takes under 8 seconds and costs about $0.06.

Our reading: Krea is selling seconds and cents per edit

This is our view, and the rest of the article tests it. Krea 3 looks like a bet that production editing teams will pick a model on latency and price per edit before they pick on first place in a quality ranking. The page headline says "10× Faster, 3× Cheaper". The one quality ranking in the material we have, a CPI-Bench score cited in a Threads post, puts Krea 3 Ultra second.

Krea's speed claims and a second place on CPI-Bench

The TestingCatalog Threads post that flagged the launch says Krea 3 Ultra scored 4.81 out of 5 on CPI-Bench, a benchmark for real-world image editing. That places it second only to GPT Image 2.5 and ahead of every other image model. The score belongs to the Ultra variant.

The same post says Krea 3 is 10x faster than GPT Image 2 and 4x faster than Nano Banana Pro, with prices starting at $0.03 per image at 1K and $0.06 at 2K. It does not tie these speed and price figures to any variant.

Krea's own side-by-side runs twelve identical prompts on one image. Krea 3 takes under 8 seconds at about $0.06 per edit, Nano Banana Pro about 26.8 seconds at about $0.135, and GPT Image 2.5 about 39.9 seconds at about $0.21. The competitor times are medians of each model's 12-image batch, measured from request to result with queue time included. The costs are approximate USD list prices for 2K edits.

On those numbers, and assuming Krea 3 takes the full 8 seconds, Nano Banana Pro is about 3.35 times slower and 2.25 times more expensive. GPT Image 2.5 is about five times slower and 3.5 times more expensive. If Krea 3 comes in under 8 seconds, the gap grows.

Speed has long been part of Krea's pitch. AI Wiki says the company's real-time canvas returns results in under fifty milliseconds by using Latent Consistency Models with two to four diffusion steps instead of the usual fifty or more. Krea 2 launched on May 12, 2026, as Krea's first foundation image model trained from scratch, and generated an image in roughly 15 seconds.

According to NYU Shanghai RITS, the distilled Krea 2 Turbo brought generation down to about 2 seconds. Generating an image and editing one at 2K are different jobs, so these figures show where the company puts its effort rather than a like-for-like speedup.

Krea 3's prices also land at familiar points. InVideo lists Krea 2 Large at roughly $0.06 per image and Krea 2 Medium at roughly $0.03 through third-party API hosts. Those match Krea 3's 2K and 1K prices.

Other vendors are also pitching editing. On September 30 we reported that Ideogram 4.5 was built for precise editing, at 0.8 to 22 cents per native 2K image. On October 6 we covered Google's Nano Banana 2.1, promoted for multi-turn consistency at $0.076 per 4K image.

Krea's comparison chart includes Ideogram 4.5 and Nano Banana 2 but not 2.1. In the copy of the page we read, the chart's values showed only as placeholders ($0.00, 0s), so we could not check the full table.

The strongest counter-argument: almost all the speed evidence comes from Krea

Krea says plainly that the side-by-side uses pre-generated outputs and is not a live benchmark. Its own 8 seconds is described as "an illustrative playback time". The competitor medians include queue time, which can vary with provider load. Krea also labels the GPT Image 2.5 price a draft estimate pending validation.

The precision test used one attempt per model, at 2K, with Krea 3 in Precise mode, and compared outputs at quarter resolution after the best alignment. A single run on a single image says little about variance.

The figures on the page do not fully line up. Its headline says 4× faster than Nano Banana Pro, while its own side-by-side works out to about 3.35× unless Krea 3 is well under 8 seconds. The Threads post's 10x figure is measured against GPT Image 2, and we could not check it against the chart, whose values showed as placeholders.

The CPI-Bench score reached us only through the Threads post, and we have nothing on the benchmark's method. With quality evidence that thin, the opposite reading is fair: Krea may simply be leading with the numbers it has.

What we don't know

The inputs do not say how Krea 3 is built. For Krea 2, NYU Shanghai RITS describes a 12-billion-parameter single-stream Diffusion Transformer. Krea has not said whether Krea 3 shares that base, uses the same distillation as Turbo, or will follow K2 Raw and K2 Turbo, whose weights were released on June 23, 2026.

We also don't know how Ultra, Precise and any other modes differ in price and latency, which mode the "under 8 seconds" figure refers to, or what precision numbers the coat demo produced.

Our reading would be wrong if independent tests at 2K put Krea 3's latency close to Nano Banana Pro's, or if teams turn out to choose editing models on quality rankings alone, where the Threads post has Krea 3 Ultra second. If you run edits in a production pipeline, would saving roughly 19 seconds per image change which model you route to?