| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| MMBench EN | MaLoRA | Accuracy93.53 | 113 | 1mo ago | |
| LLaVA-Bench Wild | GPT4V | LLaVA^W Score91.2 | 86 | 3mo ago | |
| MMBench | Oryx-1.5 | Mean Accuracy86.3 | 79 | 1mo ago | |
| MMBench EN | Overall Score86.3 | 55 | 4mo ago | ||
| MMVet | Accuracy85.67 | 55 | 2mo ago | ||
| LLaVA Multi-modal Evaluation Suite (GQA, MMB, MME, POPE, SQA, VQAv2, TextVQA, MMMU, SEED-I) v1.6 (test) | Average Score100 | 53 | 4mo ago | ||
| MMBench | BAGEL (Ours) | Accuracy87.1 | 51 | 23d ago | |
| MMBench (dev) | Mini-Gemini-HD | Overall Score80.6 | 40 | 4mo ago | |
| SEED-Bench (overall) | CSR | Overall Score62.9 | 40 | 4mo ago | |
| MMMU | ViQ | Accuracy49.1 | 34 | 29d ago | |
| MMMU Pro (Overall) | PRISM + GRPO | Score53.3 | 34 | 2mo ago | |
| MMBench | MMB Score (EN)86.2 | 32 | 16d ago | ||
| MME | LLaVA-1.5-7B | Total Score1,862 | 32 | 1mo ago | |
| SEED-IMG | Qwen3-VL-4B | Accuracy78.46 | 29 | 2mo ago | |
| MME | InternVL3.5-8B | MME Score2,371.9 | 25 | 2mo ago | |
| MMBench V1.1 | InternVL3.5-38B | Accuracy87.03 | 22 | 4mo ago | |
| LLM Evaluation Suite GQA, MMB, MME, POPE, SQA, VQAv2, VQA^Text, VizWiz | GQA Score69.2 | 20 | 1mo ago | ||
| MM-Vet | LLaVA1.5-BPO | Rec46.9 | 19 | 4mo ago | |
| MME | MME Score1,842 | 17 | 4mo ago | ||
| MM-Vet v1 (full) | Ours | Overall Score (MM-Vet v1)36.2 | 16 | 2mo ago | |
| Cambrian | InternVL3.5-8B | Accuracy76.22 | 16 | 2mo ago | |
| MuirBench | Score59.6 | 16 | 4mo ago | ||
| WorldSense | Qwen2.5-Omni-7B | WorldSense Performance46.85 | 14 | 2mo ago | |
| TVL Benchmark | TVL-LLaMA (ViT-Base) | SSVTP Score6.16 | 14 | 3mo ago | |
| SEED-Bench all (val) | Accuracy65.6 | 14 | 4mo ago |
