TextSculpt-Bench - Visual Quality: leaderboard
Metric: Visual quality (0-100): mean of three yes/no GPT-5.2 judgments (edit location, style consistency, physical plausibility), over 800 TextSculpt-Bench text-editing tasks (200 each of addition, removal, replacement and hybrid editing) on Pexels photos and generated posters, default model settings; higher is better. Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 9 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Seedream 4.5 | 76 |
| 2 | FireRed-Image-Edit-1.0 | 70 |
| 3 | Gemini-2.5-Flash-Image | 69 |
| 4 | Qwen-Image-Edit-2511 | 63 |
| 5 | Seedream 4.0 | 57 |
| 6 | LongCat-Image-Edit | 54 |
| 7 | Step1X-Edit | 45 |
| 8 | OmniGen2 | 28 |
| 9 | Bagel | 25 |
Interactive version: theaggregate.ai/benchmark?slug=textsculpt-bench-visual-quality · How It Works · Data refreshed daily, snapshot 2026-10-07.