CFMME - Knowledge: leaderboard
Metric: Accuracy (%) on the knowledge assessment (financial subject and professional certification exam questions with images) on CFMME (6,052 Chinese financial multimodal instances over eight financial image types), zero-shot, mean of three runs; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 17 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 VL 235B A22B (Thinking) | 77.27 |
| 2 | Qwen 3 VL 235B A22B Instruct | 74.05 |
| 3 | GLM-4.5V (Non-reasoning) | 64.9 |
| 4 | Qwen 3 VL 8B (Thinking) | 63.47 |
| 5 | Qwen 3 VL 8B Instruct | 61.85 |
| 6 | GLM-4.1V-9B (Thinking) | 61.21 |
| 7 | GPT-4o | 56.87 |
| 8 | ERNIE 4.5 VL 28B A3B | 49.28 |
| 9 | Llama 3.2 11B Instruct | 21.79 |
Interactive version: theaggregate.ai/benchmark?slug=cfmme-knowledge · How It Works · Data refreshed daily, snapshot 2026-10-07.