DragOn - Text Highlighting: leaderboard
Metric: Success rate (%) on the text-highlighting domain (select a character to multi-paragraph span in a rendered document page) of the private 1,000-example DragOn test split (250 per domain): from one screenshot and instruction the model outputs the drag's start and end points as JSON, and both must fall inside the pixel-aligned source and target boxes; each model at its documented settings (Claude extended thinking off, Kimi-K2.5 reasoning off, local Qwen and Holo models with chain-of-thought on); higher is better. Source: arxiv.org. Saturation forecast: Around 2030. 8 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3.5 397B A17B | 16.4 |
| 2 | Kimi K2.5 (Non-reasoning) | 12.4 |
| 3 | GPT-5.4 | 9.2 |
| 4 | Claude Opus 4.7 | 7.6 |
| 5 | Qwen 3.5 35B A3B | 1.6 |
| 6 | Claude Sonnet 4.5 | 0 |
Interactive version: theaggregate.ai/benchmark?slug=dragon-text-highlighting · How It Works · Data refreshed daily, snapshot 2026-09-29.