LongDocBench - Source Relationship Recovery: leaderboard

Recovery of source relationships of tables and figures in LongDocBench (2026), given a fixed parse and located objects. Normalized text edit similarity in percent, higher is better.

Metric: Source relationship similarity (%; the model reads fixed TextIn parsing output and layout context of long financial reports, textbooks and papers and links each of 2,680 benchmark-localized tables and figures to its related text; normalized edit similarity to the gold text after IoU matching of objects). Source: arxiv.org. Saturation forecast: Around February 2027. 8 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 397B A17B (Non-reasoning)85#242 (Qwen 3.5 397B A17B)
2Qwen 3.5 397B A17B82#242
3Kimi K2.6 (Non-reasoning)82#173 (Kimi K2.6)
4GPT-5.6 Sol (xHigh)81#29 (GPT-5.6 Sol)
5Qwen 3.5 9B (Non-reasoning)80#803 (Qwen 3.5 9B)
6Qwen 3.5 35B A3B (Non-reasoning)78#480 (Qwen 3.5 35B A3B)
7GLM-5.274#137
8MiniMax-M2.561#590

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

Interactive version: theaggregate.ai/benchmark?slug=longdocbench-source-relationship-recovery · How It Works · Data refreshed daily, snapshot 2026-11-12.