clustering benchmark
Direct model-level leaderboard results from MTEB.
Updated Aug 18, 2026
Higher official leaderboard task-type mean ranks better on this benchmark.
Rank | Model | Official leaderboard task-type mean | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelQUEVA02-CLIP-bigE-14-plusQuansun | Official leaderboard task-type mean92.4% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank02 | ModelQUEVA02-CLIP-bigE-14Quansun | Official leaderboard task-type mean89.4% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank03 | ModelQUEVA02-CLIP-L-14Quansun | Official leaderboard task-type mean88.3% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank04 | ModelLACLIP-ViT-L-14-DataComp.XL-s13B-b90KLaion | Official leaderboard task-type mean86.4% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank05 | ModelJIjina-embeddings-v5-omni-smallJinaai | Official leaderboard task-type mean86.0% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank06 | ModelLACLIP-ViT-bigG-14-laion2B-39B-b160kLaion | Official leaderboard task-type mean85.6% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank07 | ModelLACLIP-ViT-H-14-laion2B-s32B-b79KLaion | Official leaderboard task-type mean83.9% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank08 | ModelNAnomic-embed-vision-v1.5Nomic Ai | Official leaderboard task-type mean83.6% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank09 | ModelLACLIP-ViT-L-14-laion2B-s32B-b82KLaion | Official leaderboard task-type mean83.5% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank10 | ModelFAdinov2-largeFacebook | Official leaderboard task-type mean83.1% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank11 | ModelFAdinov2-baseFacebook | Official leaderboard task-type mean82.7% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank12 | ModelLACLIP-ViT-g-14-laion2B-s34B-b88KLaion | Official leaderboard task-type mean82.7% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank13 | ModelQUEVA02-CLIP-B-16Quansun | Official leaderboard task-type mean82.5% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank14 | ModelVOvoyage-multimodal-3Voyageai | Official leaderboard task-type mean82.4% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank15 | ModelGO | Official leaderboard task-type mean82.1% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank16 | ModelGO | Official leaderboard task-type mean82.1% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank17 | ModelLACLIP-ViT-B-16-DataComp.XL-s13B-b90KLaion | Official leaderboard task-type mean81.7% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank18 | ModelFAdinov2-giantFacebook | Official leaderboard task-type mean81.4% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank19 | ModelFAdinov2-smallFacebook | Official leaderboard task-type mean80.2% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank20 | ModelGO | Official leaderboard task-type mean79.9% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank21 | ModelLACLIP-ViT-B-32-laion2B-s34B-b79KLaion | Official leaderboard task-type mean78.0% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank22 | ModelSAblip-itm-large-cocoSalesforce | Official leaderboard task-type mean77.5% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank23 | ModelLACLIP-ViT-B-32-DataComp.XL-s13B-b90KLaion | Official leaderboard task-type mean77.4% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank24 | ModelSAblip-itm-large-flickrSalesforce | Official leaderboard task-type mean76.4% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank25 | ModelOP | Official leaderboard task-type mean76.4% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank26 | ModelGO | Official leaderboard task-type mean76.3% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank27 | ModelBAbge-visualized-baseBaai | Official leaderboard task-type mean76.2% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank28 | ModelGO | Official leaderboard task-type mean75.2% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank29 | ModelGO | Official leaderboard task-type mean74.7% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank30 | ModelGO | Official leaderboard task-type mean74.6% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank31 | ModelGO | Official leaderboard task-type mean74.5% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank32 | ModelSAblip2-opt-2.7bSalesforce | Official leaderboard task-type mean74.0% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank33 | ModelNVmoco-v3-vit-bNyu Visionx | Official leaderboard task-type mean73.9% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank34 | ModelSAblip-image-captioning-largeSalesforce | Official leaderboard task-type mean73.7% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank35 | ModelBAbge-visualized-m3Baai | Official leaderboard task-type mean73.6% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank36 | ModelTLVLM2Vec-LoRATiger Lab | Official leaderboard task-type mean72.6% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank37 | ModelJIjina-embeddings-v5-omni-nanoJinaai | Official leaderboard task-type mean72.3% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank38 | ModelNVmoco-v3-vit-lNyu Visionx | Official leaderboard task-type mean71.7% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank39 | ModelTLVLM2Vec-FullTiger Lab | Official leaderboard task-type mean70.7% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank40 | ModelSAblip-itm-base-cocoSalesforce | Official leaderboard task-type mean70.6% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank41 | ModelROe5-vRoyokong | Official leaderboard task-type mean70.0% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank42 | ModelJIjina-clip-v1Jinaai | Official leaderboard task-type mean70.0% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank43 | ModelOP | Official leaderboard task-type mean69.5% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank44 | ModelOP | Official leaderboard task-type mean67.9% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank45 | ModelSAblip2-opt-6.7b-cocoSalesforce | Official leaderboard task-type mean67.8% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank46 | ModelSAblip-itm-base-flickrSalesforce | Official leaderboard task-type mean67.3% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank47 | ModelSAblip-image-captioning-baseSalesforce | Official leaderboard task-type mean63.1% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
| Rank48 | ModelKAalign-baseKakaobrain | Official leaderboard task-type mean59.6% | PercentileN/A | Participants48 | EvidenceA | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis mieb(eng) clustering AI model leaderboard uses descending official leaderboard task-type mean in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
EVA02-CLIP-bigE-14-plus currently leads MIEB(eng) Clustering with 92.4%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What MIEB(eng) Clustering measures and how its scores work.
Direct model-level leaderboard results from MTEB.
Scores are shown in ratio. This benchmark is verified and has an evidence level of A.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about MIEB(eng) Clustering.
EVA02-CLIP-bigE-14-plus is currently ranked first with 92.4%.
Direct model-level leaderboard results from MTEB.
Yes. Higher values rank better for this benchmark.
48 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.