MMEB B
AI benchmark · Multimodal
- Publisher
- Tiger LAB Mmeb Space
- Domains
- Multimodal
- Tier
- B why
- Snapshot
What is MMEB?
Massive Multimodal Embedding Benchmark leaderboard evaluating embedding models across image classification, visual question answering, image retrieval, and visual grounding tasks.
Tier B
Established: 15 or more models scored, or curated RL directories rate it.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- 37 models scored
- in curated RL directories (1 pt)
On X · well regarded, low buzz, from 4 posts about MMEB in the last month
Used as a reference leaderboard by model releases like EmbeddingGemma 2 and Wanderboat-Embedding-2B, with no criticism but little direct discussion.
How we got to tier B
- Adoption: 37 models scored. Tier B.
- On X: well regarded, low buzz. “Used as a reference leaderboard by model releases like EmbeddingGemma 2 and Wanderboat-Embedding-2B, with no criticism but little direct discussion.” No move.
- In curated RL directories: 1 point, a floor of none.
- Not yet confirmed by a line from its own site or paper.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Not on the map yet: no line from its own site or paper places it in a domain.
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.