KhatianDoc - Field Extraction Row F1: leaderboard

KhatianDoc (2026) is a human-verified benchmark on 107 real Bangladeshi RS Khatian land records written in the Ana-Ganda-Kora-Kranti-Til base-16 fractional numeral system, evaluating six multimodal LLMs zero-shot through OpenRouter. This board is structured field extraction scored by row-level F1 over 261 rows, in percent, higher is better; it is the papers metric of record for extraction.

Metric: Row-level F1 (%; structured field extraction over 261 rows in 107 records, zero-shot; the metric of record for extraction). Source: arxiv.org. Saturation forecast: Around February 2027. 6 models tracked.

Top models

#ModelScoreOverall rank
1Gemma 4 26B A4B (IT)25.84#545
2Qwen 3 VL 8B Instruct17.48#982
3Qwen 2.5 VL 72B Instruct11.97#845
4Llama 4 Scout6.43#1787
5Gemini 2.5 Flash Lite5.16#958

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

Interactive version: theaggregate.ai/benchmark?slug=khatiandoc-field-extraction-row-f1 · How It Works · Data refreshed daily, snapshot 2026-11-12.