Krea 3 edits a selected region in under 8 seconds at $0.06 per 2K image, Krea says

Krea's speed argument rests on one design choice. According to dev.to, the model changes only the region the user marks and does not re-render the whole image, and the account credits that for the price and the response time ^[16]. Krea did not publish a technical paper or an open benchmark methodology, dev.to reports, so the figures come from its own marketing page ^[7].

The ratios are ceilings. The 4x and 10x figures are stated as "up to" ^[12], and the 8-second timing is for 2K edits measured end to end ^[1]. A region-only model should gain least when an edit changes the whole frame, so we'd expect the ratios to transfer best to pipelines made mostly of local edits. Krea 3 is served by several providers ^[13], so the latency you see can depend on the one you call.

On cost, dev.to quotes $0.06 without naming a tier ^[3]. It is the 2K price, and 1K is $0.03 ^[2]. Krea says its cost is a third of GPT Image 2's ^[12]. If that comparison uses the $0.06 price, GPT Image 2 sits near $0.18 per edit ^[11]. Treat that as an implication to check against OpenAI's current price list, not a quoted figure.

The comparison chart is Krea's, and so are its axes. It plots price and speed, and it also includes Grok Imagine 2.0, Nano Banana 2, Seedream 5.0 Pro and Ideogram 4.5 ^[8]. dev.to describes the pitch as cost and latency ahead of peak quality ^[6]. Output quality needs its own test, because a rejected edit that gets rerun is billed again at the per-image price ^[2].

Fine-tuning is the feature to test first for catalog work. Krea says it is the first editing model that can be fine-tuned with LoRAs on a specific product, person or style ^[17]. Krea pitches this as a way to keep a brand's packshot or a recurring character consistent from image to image ^[17]. Each edit can also draw on up to six reference images ^[5]. Pixelcut, a photo-editing app, has been testing Krea 3 with its own users for product photography ^[9].