LED (Image + JSON) - Element Error F1: leaderboard

Metric: Element-level macro F1 (x 100): labelling each predicted box with one of eight structural error types or none, given the page image plus the predicted layout as JSON (with ground-truth boxes), on LED's 4,996 DocLayNet test pages with structural layout errors (missing, hallucinated, resized, misclassified, split, merged, overlapping, duplicated regions) injected at the rates a commercial layout model produces, zero-shot via OpenRouter at temperature 1.0; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 8 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro44.3#145
2Gemini 2.5 Flash33.3#237
3GPT-4o Mini15.9#588
4Gemini 2.5 Flash Lite12.7#413
5Llama 4 Maverick7.5#451
6GPT-4o6.6#333
7Llama 4 Scout0.2#646

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=led-image-plus-json-element-error-f1 · How It Works · Data refreshed daily, snapshot 2026-10-11.