FinixDocBench - FinixInner: leaderboard

Part of FinixDocBench (Wang et al., 2026), a financial document parsing benchmark: an internal held-out track of 4,000 camera-captured documents from financial and insurance workflows, namely claim medical records, expense statements, expense receipts, medical examination reports and identity documents. The score from 0 to 100 is the mean over the five document types of the composite parsing score of text, table and reading-order accuracy; higher is better.

Metric: Overall score (0-100): mean over the five document categories of the per-category overall parsing score, the composite of text edit distance, table TEDS and reading-order edit distance; internal held-out track of 4,000 camera-captured documents from financial and insurance workflows: claim medical records, expense statements, expense receipts, medical examination reports and identity documents, 800 each. Source: arxiv.org. Saturation forecast: Estimated already saturated. 11 models tracked.

Top models

#ModelScoreOverall rank
1Kimi K2.576.91#256
2Qwen 3 VL 235B A22B Instruct76.32#522
3Qwen 3.5 397B A17B70.83#246

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

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