Leaderboard

Rankings

Mean across covered modalities

Every model on the leaderboard, scored as the mean of the modality benchmarks it is actually evaluated on. Read it with the coverage column: a specialist averaging one benchmark is not doing the same job as a system averaging six, and the means are not on a common scale. The scope control opens on full-coverage systems, which is the only like-for-like reading of this board.

All numbers are taken from Omni-Embed-Mini (EMNLP 2026 Findings), Figure 7 and Appendix Tables 3 to 8. embeddinggemma-300m and bge-large-en are text retrievers scored on the OCR'd page text alone, whereas every other model on the visual-doc board sees the page image, so those two bars are not a like-for-like comparison. gemini-embedding-2 is closed and its parameter count is undisclosed; it is shown for reference only.

Top 9 · Overall · mean of covered ×100

hover a bar for details

e5-omni-7B

52.93· rank 1

8.9B parameters

52.9

Omni-Embed-Mini-2.3B

51.39· rank 2

2.3B parameters

51.4

gemini-embedding-2

49.51· rank 3

? parameters

49.5

LCO-Embedding-Omni-7B

49.34· rank 4

8.9B parameters

49.3

e5-omni-3B

49.28· rank 5

4.7B parameters

49.3

omni-embed-nemotron-3B

48.34· rank 6

4.7B parameters

48.3

LCO-Embedding-Omni-3B

47.52· rank 7

4.7B parameters

47.5

BidirLM-Omni-2.5B

47.28· rank 8

2.5B parameters

47.3

Omni-Embed-Mini-0.9B

36.33· rank 9

935M parameters

36.3
e5-omni-7B8.9B
Omni-Embed-Mini-2.3B2.3B
gemini-embedding-2?
LCO-Embedding-Omni-7B8.9B
e5-omni-3B4.7B
omni-embed-nemotron-3B4.7B
LCO-Embedding-Omni-3B4.7B
BidirLM-Omni-2.5B2.5B
Omni-Embed-Mini-0.9B935M
Scope

Only systems that bind all six modalities into one embedding space. This is the like-for-like comparison, and the block the paper itself reports against.

#ModelParamsCoverageScoreTextSpeechAudioImageVideoDoc
e5-omni-7B
Omni embedders
8.9B6/652.93
45.3454.8643.2668.3644.7361.00
Omni-Embed-Mini-2.3B
Ours · Omni embedders
2.3B6/651.39
47.9448.8633.4464.8055.1858.10
gemini-embedding-2
Closed API embedders
?6/649.51
56.2451.5436.8047.2748.1457.09
4
LCO-Embedding-Omni-7B
Omni embedders
8.9B6/649.34
42.5454.6145.9154.9243.3454.72
5
e5-omni-3B
Omni embedders
4.7B6/649.28
47.8052.0440.3463.9032.9258.66
6
omni-embed-nemotron-3B
Omni embedders
4.7B6/648.34
50.4852.8544.0048.1634.9059.63
7
LCO-Embedding-Omni-3B
Omni embedders
4.7B6/647.52
39.4253.0243.8852.0243.8652.91
8
BidirLM-Omni-2.5B
Omni embedders
2.5B6/647.28
48.5655.8039.0345.9841.2353.06
9
Omni-Embed-Mini-0.9B
Ours · Omni embedders
935M6/636.33
49.5743.2833.4326.2918.4846.92

Scores are per-benchmark averages and are not comparable across tabs; each tab uses its own metric, shown above the table. Parameter counts are taken from each model’s published card; closed-source models with undisclosed sizes are marked “?”. Coverage counts the modalities this leaderboard scores a model on, taken from the paper's benchmark tables. It measures evaluated breadth, not everything an architecture could in principle encode. The board opens scoped to systems covering all six modalities; widen it with the scope control above.