MMEB Leaderboard: leaderboard
Massive Multimodal Embedding Benchmark leaderboard evaluating image, video, and visual-document embedding models across classification, retrieval, QA, grounding, and document tasks.
Metric: Overall Score (%). Source: huggingface.co. 95 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | WeMM-Embedding-9B | 59.55 |
| 2 | Ovis-Omni-Embedding-3B | 58.46 |
| 3 | WeMM-Embedding-4B | 58.21 |
| 4 | Ovis-Omni-Embedding-v0.5-3B | 57.42 |
| 5 | WeMM-Embedding-2B | 56.02 |
| 6 | Tianmu-Emb-Uni | 53.27 |
| 7 | Ovis-Omni-Embedding-v0.1-3B | 53.09 |
| 8 | UEmbed-9B (hybrid) | 52.26 |
| 9 | UEmbed-9B (dense) | 52.22 |
| 10 | UEmbed-9B (sparse) | 51.77 |
Interactive version: theaggregate.ai/benchmark?slug=mmeb-leaderboard · How It Works · Data refreshed daily, snapshot 2026-09-05.