UniKIE-Bench (Constrained-Category) - Postal Label: leaderboard

Metric: Field-level F1 (%) on the 500 postal label documents of UniKIE-Bench's constrained-category track (real documents, scenario-predefined schemas); schema-guided key information extraction from a document image in one pass; field-level F1, a field correct only when its value matches the annotation exactly; one prompt for all models, temperature 0; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 15 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro (Preview)90.74#64
2Qwen 3 VL 8B Instruct83.8#401
3GPT-4o82.95#333
4GPT-580.95#91
5Claude Sonnet 4.579.45#138
6GLM-4.1V-9B (Thinking)76.46#457 (GLM-4.1V-9B)
7Ministral-3-8B-Instruct-251275.8#644
8Gemma 3 12B (IT)72.3#655

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

Interactive version: theaggregate.ai/benchmark?slug=unikie-bench-constrained-category-postal-label · How It Works · Data refreshed daily, snapshot 2026-10-11.