Most AI image editors are diffusion models conditioned on the source image — they encode the input into a latent and denoise it toward the edit prompt while anchoring the regions that should stay unchanged. Newer transformer-based editors (the GPT-Image family) generate the edited image token by token, attending to the source so the unchanged context stays consistent.
Rankings use TrueSkill (conservative rating: μ − 3σ) from blind human comparisons in the Image Editing Arena. Each prompt pairs a reference image with an edit instruction and runs it through 4 randomly sampled models. Users see the edits side by side and pick the best and worst — without model names. This eliminates brand bias and makes sure rankings reflect actual edit quality, not marketing.
Pricing data is pulled from provider APIs and shown per image. Editor costs range from under $0.01 per edit for open-weight models like Flux Kontext to $0.10+ for frontier models. The scatter view in the rankings tab lets you compare quality vs. cost directly — useful if you need the best AI image editor at scale: product mockups, marketing variations, or creative pipelines.