HG-Bench - Unified Score: leaderboard

HG-Bench (2026) tests page-aware answer-region grounding in multi-page handwritten K-12 homework: over 500 human-annotated samples, a vision-language model must box each complete answer region and its ordered step regions. This board combines question-level and step-level page F1 per sample and averages over all 500 samples, counting unparseable outputs as 0, on a 0-100 scale; higher is better.

Metric: Unified score (0-100): per-sample weighted combination of question-level and step-level page F1 averaged over all 500 samples, unparseable outputs scoring 0; 500 human-annotated multi-page handwritten K-12 homework samples; the model outputs page-aware question-level answer boxes and ordered step boxes as JSON with normalized 0-1000 coordinates, one shared prompt, default decoding, one format-reminder retry; higher is better. Source: arxiv.org. Saturation forecast: Not forecast. 9 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro (Preview)42.33#113
2GLM-5V Turbo40.1#344
3Qwen 3.5 397B A17B32.73#246
4Doubao-Seed-2.0-Pro-26021521.22#152
5Kimi K2.520.18#256
6Claude Sonnet 4.68.76#161
7GPT-5.48.12#123

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

Interactive version: theaggregate.ai/benchmark?slug=hg-bench-unified-score · How It Works · Data refreshed daily, snapshot 2026-11-13.