VMMU: leaderboard
Metric: Mean accuracy (%) over the seven domains of 2,548 Vietnamese multiple-choice exam questions, each given as one rendered page image with the question, options and visual evidence (answer letter extracted from curly brackets; random baseline 25.9); higher is better. Source: arxiv.org. Saturation forecast: Around December 2026. 17 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Pro | 86.33 |
| 2 | GPT-5 (Medium) | 78.41 |
| 3 | Claude Opus 4.6 (Thinking) | 74.62 |
| 4 | O3 (Medium) | 73.98 |
| 5 | Gemini 2.5 Flash | 71.34 |
| 6 | Qwen 2.5 VL 32B Instruct | 52.13 |
| 7 | Qwen 2.5 VL 72B Instruct | 51.75 |
| 8 | GPT-4.1 | 51.58 |
| 9 | Claude Sonnet 4 | 50.58 |
| 10 | Llama 4 Scout | 49.06 |
| 11 | Gemma 3 27B | 39.09 |
| 12 | Llama 4 Maverick | 38.37 |
| 13 | Mistral Medium 3 | 37.78 |
| 14 | Mistral Small 3.2 | 31.88 |
| 15 | aya-vision-8B | 25.56 |
Interactive version: theaggregate.ai/benchmark?slug=vmmu · How It Works · Data refreshed daily, snapshot 2026-09-29.