Artificial Analysis (@ArtificialAnlys) · 10/10/2026, 00:47:24
Benchmark Shows Ideogram 4.5 and FLUX 3 Maintain Consistency Over 30 Edits While GPT Image 2.5 Drifts Due to Full Re-rendering
Artificial Analysis benchmarked four frontier image editing models over 30 consecutive edits, finding that Ideogram 4.5 and FLUX 3 utilize local editing strategies to keep over 95% of the original image intact. In contrast, the top-ranked GPT Image 2.5 Sunburst re-renders the entire image with each edit, leaving only about 20% unchanged and causing significant color and detail drift over multiple turns. Nano Banana 2.1 performed intermediately, maintaining local edits but exhibiting gradual global darkening.
SOURCE COVERAGEOriginal coverage
Artificial Analysis (@ArtificialAnlys) · 2026-10-09 16
We gave four frontier image editing models the same photo and 30 edits in a row: Ideogram 4.5 keeps most of the room intact, while the others drift, GPT Image 2.5 Sunburst most visibly.
We've seen some interesting demos of multi-turn editing consistency from the latest image editing models, so we ran our own test: GPT Image 2.5 Sunburst, #1 on our Image Editing leaderboard, against Ideogram 4.5, FLUX 3 and Nano Banana 2.1. Our leaderboard scores single edits; this tests what happens when 30 consecutive changes stack up, with each model editing its own previous output through a 30-step real estate staging sequence: light the fire, add a sofa, repaint the walls, swap day for twilight, and more.
Why are the final results so different?
@ideogram_ai's Ideogram 4.5 and @bfl_ml's FLUX 3 edit locally. On small edits like adding a vase of tulips, we measured that they left 95% or more of the image essentially untouched. GPT Image 2.5 (Sunburst) re-renders most of the entire image on every edit, leaving only about a fifth of the image unchanged, so small shifts in colour and detail compound over turns. Nano Banana 2.1 sits in between: its edits stay local, but the rest of the image shifts slightly and gradually darkens.
