CFMME - Recognition, Detection and Extraction: leaderboard
Metric: Average (%) of seal recognition 1-NED, table recognition TEDS, formula recognition CDM, seal detection mAP and information extraction F1 on CFMME (6,052 Chinese financial multimodal instances over eight financial image types), zero-shot, mean of three runs, the non-reasoning model of each family; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 9 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 VL 235B A22B Instruct | 77.18 |
| 2 | GLM-4.5V (Non-reasoning) | 71.77 |
| 3 | Qwen 3 VL 8B Instruct | 71.04 |
| 4 | GPT-4o | 57.89 |
| 5 | ERNIE 4.5 VL 28B A3B | 56.61 |
| 6 | Llama 3.2 11B Instruct | 27.42 |
Interactive version: theaggregate.ai/benchmark?slug=cfmme-recognition-detection-and-extraction · How It Works · Data refreshed daily, snapshot 2026-10-07.