TextSculpt-Bench - Text Accuracy: leaderboard
Metric: Text accuracy (0-100): one minus the full-image word edit distance between the text GPT-5.2 infers should appear after editing and the text actually observed, normalized by the edited words and clipped at 0, 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 | Gemini-2.5-Flash-Image | 63 |
| 3 | FireRed-Image-Edit-1.0 | 62 |
| 4 | Seedream 4.0 | 56 |
| 5 | Qwen-Image-Edit-2511 | 55 |
| 6 | LongCat-Image-Edit | 54 |
| 7 | Step1X-Edit | 47 |
| 8 | Bagel | 26 |
| 9 | OmniGen2 | 21 |
Interactive version: theaggregate.ai/benchmark?slug=textsculpt-bench-text-accuracy · How It Works · Data refreshed daily, snapshot 2026-10-07.