InEdit-Bench: leaderboard

Metric: Overall average (0-100) of six evaluator-scored dimensions (appearance consistency, perceptual quality, semantic consistency, logical coherence, scientific plausibility, process plausibility), where the editing model generates the intermediate stages of a multi-step transformation from an initial image to a described final state, scored 0-100 by a GPT-4o-2024-11-20 evaluator; higher is better. Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 14 models tracked.

Top models

#ModelScoreOverall rank
1GPT-Image-181.33
2Gemini 2.5 Flash Image (Preview) (Nano Banana)75.23
3Flux-Kontext-pro51.46
4Qwen-Image-Edit49.6
5BAGEL-7B-MoT40.7
6BAGEL-7B-MoT (Thinking)40.7
7OmniGen237.92
8SeedEdit 3.036.5
9Step1X-Edit-v1p131.39
10Emu2 (InEdit-Bench checkpoint unspecified)29.61

Interactive version: theaggregate.ai/benchmark?slug=inedit-bench · How It Works · Data refreshed daily, snapshot 2026-10-11.