MME-CC: leaderboard
Metric: Overall Score (%). Source: randomtutu.github.io. 16 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 2.5 Pro | 42.66 |
| 2 | GPT-5 (High) | 40.25 |
| 3 | Gemini 2.5 Flash | 37.57 |
| 4 | O4 Mini (High) | 35 |
| 5 | GPT-4.1 | 32.14 |
| 6 | GLM-4.5V | 30.45 |
| 7 | GPT-4o (2024-11-20) | 26.88 |
| 8 | GLM-4.1V-9B (Thinking) | 19.3 |
| 9 | Qwen 2.5 VL 32B Instruct | 14.39 |
| 10 | InternVL3-8B | 11.36 |
| 11 | Qwen 2.5 VL 7B Instruct | 7.5 |
Interactive version: theaggregate.ai/benchmark?slug=mme-cc · How It Works · Data refreshed daily, snapshot 2026-09-05.