DocHop: leaderboard

Out-of-domain multi-hop reasoning over information-dense documents and charts: value retrieval, counting, numeric reasoning, ranking, hypotheticals and fact checking; overall accuracy. The human and random-guessing references are not published. Higher is better. Source: arxiv.org/abs/2609.02059.

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Around June 2028. 21 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Thinking)40.6#159 (Gemini 2.5 Pro)
2GPT-5.2 (2025-12-11) (Non-reasoning)40.36
3Gemini 2.5 Flash (Thinking)32.02#255 (Gemini 2.5 Flash)
4GPT-5 Mini28.25#193
5Gemini 2.5 Flash24.88#255
6Qwen 2.5 VL 72B Instruct24.4#383
7Qwen 3 VL 8B Instruct24.16#419
8Qwen 2.5 VL 32B Instruct21.79#463
9Qwen 2.5 VL 7B Instruct19.05#650
10Claude Sonnet 4.517.94#148
11Claude Haiku 4.516.35#287

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=dochop · How It Works · Data refreshed daily, snapshot 2026-11-05.