| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| MME | Jigsaw + CARE | Score2,565.72 | 902 | 22d ago | |
| MM-Vet | Score64 | 249 | 18d ago | ||
| MME | Qwen-2.5-VL-7B + EvoLMM | MME Score2,375.9 | 179 | 1mo ago | |
| MMStar | InternVL2.5-78B | Accuracy69.5 | 177 | 25d ago | |
| MMBench CN | Qwen2.5-VL-7B | Accuracy82.8 | 163 | 22d ago | |
| MMBench | MMB^CN Score86 | 146 | 24d ago | ||
| MME | TwigVLM | MME-P Score1,864 | 139 | 1mo ago | |
| SEED-Bench | D2Dloc | Accuracy77.3 | 117 | 1mo ago | |
| LLaVA-bench in-the-wild | Self-Aug | Score121.88 | 73 | 1mo ago | |
| MME | Qwen3-VL-235B | Total Score2,631.7 | 67 | 2mo ago | |
| MM-Bench | CoLLaVO | Accuracy83 | 67 | 1mo ago | |
| LLaVA Evaluation Suite 7B v1.5 (test) | GQA61.9 | 59 | 1mo ago | ||
| LLaVA-Bench | LLaVA-v1.6 (7B) w/ STIC | LLaVA-Bench Score79.2 | 48 | 1mo ago | |
| MM-Vet v2 | Vero Q3T-8B | Score81.6 | 46 | 2mo ago | |
| MME Chinese | Overall Score60.37 | 43 | 4mo ago | ||
| MME English | Score60.21 | 43 | 4mo ago | ||
| LLaVA-Bench-Wild (LLaVA-W) | MoE-LLaVA | Overall Score97.3 | 43 | 18d ago | |
| MMMU | Score57.6 | 36 | 2mo ago | ||
| MMB | Score85.31 | 34 | 24d ago | ||
| MME-R | Score52.48 | 30 | 1mo ago | ||
| MME | ShortV (N=20) | Total Score1,854.51 | 30 | 24d ago | |
| SEED-Bench 2 Plus | Accuracy71.67 | 29 | 4mo ago | ||
| Combined Benchmark Suite (GQA, MMB, MME, VQA-T, SQA-I, VQA-v2) | Relative Accuracy100 | 28 | 3mo ago | ||
| SEED-Bench | LLaVA-1.5-7B | SEED-Bench Score66.8 | 28 | 4mo ago | |
| MME-RealWorld | ACE-Brain-0-8B | Accuracy71.2 | 24 | 23d ago |
