FCMBench V1.1 - Consistency Checking: leaderboard

Evaluates visual credit-document understanding on FCMBench V1.1: 26 document types, 5,198 images and 13,806 VQA pairs. Exact-match key/value sets are scored with F1; task scores macro-average fine-grained subtasks. Numeric calculation permits differences below 2. The paper prefers instruct or lowest available reasoning effort. The two-stage DeepSeek-OCR plus V3.2 system stays distinct from either model alone. These are paper V1.1 scores, not the differing repository leaderboard. This series reports FCMBench V1.1 - Consistency Checking using F1 (%).

Metric: F1 (%). Source: arxiv.org. Saturation forecast: Around February 2027. 28 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash69.93#103
2Qwen 3 VL 32B Instruct65.53#290
3Claude Opus 4.563.97#87
4Kimi K2.563.66#152
5Qwen 3 VL 235B A22B Instruct62.65#280
6GLM-4.6V62.49#330
7Gemini 3 Pro60.68#82
8GPT-5.259.34#115
9GLM-4.5V59.29#358
10Qwen 3 VL 8B Instruct54.81#419
11Qwen 3.5 397B A17B54.75#154
12Qwen 3.5 35B A3B49.89#268
13Qwen 3 VL 30B A3B Instruct42.28#390
14Qwen 3.5 122B A10B41.96#184
15GPT-5.140.58#145

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

Interactive version: theaggregate.ai/benchmark?slug=fcmbench-v1-1-consistency-checking · How It Works · Data refreshed daily, snapshot 2026-11-05.