DragOn - Text Highlighting: leaderboard

Success rate on the 250 text-highlighting examples: drag to select a requested span, from a few characters to several paragraphs, in a rendered document page, from the private test split of DragOn (2026), a drag-grounding benchmark for GUI agents. Higher is better.

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 2029. 8 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 397B A17B16.4#246
2Kimi K2.5 (Non-reasoning)12.4#256 (Kimi K2.5)
3GPT-5.49.2#123
4Claude Opus 4.77.6#79
5Qwen 3.5 35B A3B1.6#482
6Claude Sonnet 4.50#250

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=dragon-text-highlighting · How It Works · Data refreshed daily, snapshot 2026-11-13.