OCR-MetaReasoning - Transaction Analysis: leaderboard

OCR-MetaReasoning answer score on the transaction analysis OCR-object category of its text-rich image questions (arXiv 2608.30678v1, Table 2). Percentage (100 times the normalized score), higher is better; reasoning modes follow the paper's Table 24.

Metric: Answer Score (%). Source: arxiv.org. Saturation forecast: Around February 2027. 18 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview) (Thinking)89.7#64 (Gemini 3.1 Pro (Preview))
2GPT-5.4 (Medium)87.5#83 (GPT-5.4)
3Claude Sonnet 4.6 (Thinking)86#94 (Claude Sonnet 4.6)
4GPT-5.4 (Non-reasoning)85.7#83 (GPT-5.4)
5GPT-5.4 Mini (Medium)84.7#228 (GPT-5.4 Mini)
6Kimi K2.5 (Non-reasoning)82.8#152 (Kimi K2.5)
7Qwen 3 VL 235B A22B (Thinking)82.2#236
8Grok 4.20 (Non-reasoning)78.3#179 (Grok 4.20)
9GLM-4.6V (Reasoning)77.9#330 (GLM-4.6V)
10Qwen 3 VL 8B (Thinking)76.8#423
11Qwen 3 VL 235B A22B Instruct75.5#280
12Qwen 3 VL 30B A3B (Thinking)75.1#348
13GPT-5.4 Mini (Non-reasoning)74.4#228 (GPT-5.4 Mini)
14Qwen 3 VL 30B A3B Instruct64.4#390
15Qwen 3 VL 8B Instruct59.1#419

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=ocr-metareasoning-transaction-analysis · How It Works · Data refreshed daily, snapshot 2026-11-05.