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clustering benchmark

MIEB English Clustering Leaderboard

MIEB English Clustering is a clustering benchmark represented by the current MIEB(eng) leaderboard.

Updated Sep 8, 2026

Models49
Model coverage49
MetricOfficial leaderboard task-type mean
EvidenceA

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MIEB English Clustering Ranking

Higher official leaderboard task-type mean ranks better on this benchmark.

30 of 49 rows
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Rank
Model
Official leaderboard task-type mean
Percentile
Participants
Evidence
Evaluated
Rank01ModelQUEVA02-CLIP-bigE-14-plusQuansunOfficial leaderboard task-type mean92.38%Percentile100.00%Participants49EvidenceAEvaluatedN/A
Rank02ModelQUEVA02-CLIP-bigE-14QuansunOfficial leaderboard task-type mean89.42%Percentile97.92%Participants49EvidenceAEvaluatedN/A
Rank03ModelQUEVA02-CLIP-L-14QuansunOfficial leaderboard task-type mean88.27%Percentile95.83%Participants49EvidenceAEvaluatedN/A
Rank04ModelLACLIP-ViT-L-14-DataComp.XL-s13B-b90KLaionOfficial leaderboard task-type mean86.44%Percentile93.75%Participants49EvidenceAEvaluatedN/A
Rank05ModelJIjina-embeddings-v5-omni-smallJinaaiOfficial leaderboard task-type mean86.01%Percentile91.67%Participants49EvidenceAEvaluatedN/A
Rank06ModelLACLIP-ViT-bigG-14-laion2B-39B-b160kLaionOfficial leaderboard task-type mean85.59%Percentile89.58%Participants49EvidenceAEvaluatedN/A
Rank07ModelLACLIP-ViT-H-14-laion2B-s32B-b79KLaionOfficial leaderboard task-type mean83.86%Percentile87.50%Participants49EvidenceAEvaluatedN/A
Rank08ModelNAnomic-embed-vision-v1.5Nomic AiOfficial leaderboard task-type mean83.64%Percentile85.42%Participants49EvidenceAEvaluatedN/A
Rank09ModelLACLIP-ViT-L-14-laion2B-s32B-b82KLaionOfficial leaderboard task-type mean83.50%Percentile83.33%Participants49EvidenceAEvaluatedN/A
Rank10ModelFAdinov2-largeFacebookOfficial leaderboard task-type mean83.10%Percentile81.25%Participants49EvidenceAEvaluatedN/A
Rank11ModelFAdinov2-baseFacebookOfficial leaderboard task-type mean82.74%Percentile79.17%Participants49EvidenceAEvaluatedN/A
Rank12ModelLACLIP-ViT-g-14-laion2B-s34B-b88KLaionOfficial leaderboard task-type mean82.74%Percentile77.08%Participants49EvidenceAEvaluatedN/A
Rank13ModelQUEVA02-CLIP-B-16QuansunOfficial leaderboard task-type mean82.55%Percentile75.00%Participants49EvidenceAEvaluatedN/A
Rank14ModelVOvoyage-multimodal-3VoyageaiOfficial leaderboard task-type mean82.41%Percentile72.92%Participants49EvidenceAEvaluatedN/A
Rank15ModelGOsiglip-large-patch16-256GoogleOfficial leaderboard task-type mean82.13%Percentile70.83%Participants49EvidenceAEvaluatedN/A
Rank16ModelGOsiglip-so400m-patch14-384GoogleOfficial leaderboard task-type mean82.11%Percentile68.75%Participants49EvidenceAEvaluatedN/A
Rank17ModelLACLIP-ViT-B-16-DataComp.XL-s13B-b90KLaionOfficial leaderboard task-type mean81.73%Percentile66.67%Participants49EvidenceAEvaluatedN/A
Rank18ModelFAdinov2-giantFacebookOfficial leaderboard task-type mean81.44%Percentile64.58%Participants49EvidenceAEvaluatedN/A
Rank19ModelFAdinov2-smallFacebookOfficial leaderboard task-type mean80.20%Percentile62.50%Participants49EvidenceAEvaluatedN/A
Rank20ModelGOsiglip-large-patch16-384GoogleOfficial leaderboard task-type mean79.94%Percentile60.42%Participants49EvidenceAEvaluatedN/A
Rank21ModelDNDNA-VL-STEER-2BDnotitiaOfficial leaderboard task-type mean78.88%Percentile58.33%Participants49EvidenceAEvaluatedN/A
Rank22ModelLACLIP-ViT-B-32-laion2B-s34B-b79KLaionOfficial leaderboard task-type mean77.99%Percentile56.25%Participants49EvidenceAEvaluatedN/A
Rank23ModelSAblip-itm-large-cocoSalesforceOfficial leaderboard task-type mean77.53%Percentile54.17%Participants49EvidenceAEvaluatedN/A
Rank24ModelLACLIP-ViT-B-32-DataComp.XL-s13B-b90KLaionOfficial leaderboard task-type mean77.37%Percentile52.08%Participants49EvidenceAEvaluatedN/A
Rank25ModelSAblip-itm-large-flickrSalesforceOfficial leaderboard task-type mean76.43%Percentile50.00%Participants49EvidenceAEvaluatedN/A
Rank26ModelOPclip-vit-large-patch14OpenAIOfficial leaderboard task-type mean76.41%Percentile47.92%Participants49EvidenceAEvaluatedN/A
Rank27ModelGOsiglip-base-patch16-384GoogleOfficial leaderboard task-type mean76.27%Percentile45.83%Participants49EvidenceAEvaluatedN/A
Rank28ModelBAbge-visualized-baseBaaiOfficial leaderboard task-type mean76.19%Percentile43.75%Participants49EvidenceAEvaluatedN/A
Rank29ModelGOsiglip-base-patch16-256GoogleOfficial leaderboard task-type mean75.24%Percentile41.67%Participants49EvidenceAEvaluatedN/A
Rank30ModelGOsiglip-base-patch16-512GoogleOfficial leaderboard task-type mean74.65%Percentile39.58%Participants49EvidenceAEvaluatedN/A

MIEB English Clustering Highlights

The leading models and scores on this benchmark.

MIEB English Clustering Score Distribution

A closer view of the leading scores on this benchmark.

MIEB English Clustering

The Top AI Models for MIEB English Clustering

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is MIEB English Clustering?

What MIEB English Clustering measures and how its scores work.

MIEB English Clustering is a clustering benchmark.

It reports the Official leaderboard task-type mean in ratio units.

Scores are shown in ratio. This benchmark is verified and has an evidence level of A.

Family
MIEB English
Modality
multimodal
Primary category
clustering
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

MTEB. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about MIEB English Clustering.

Which model scores highest on MIEB English Clustering?

EVA02-CLIP-bigE-14-plus is currently ranked first with 92.38%.

What are the top three models on MIEB English Clustering?

The current leaders are EVA02-CLIP-bigE-14-plus (92.38%), EVA02-CLIP-bigE-14 (89.42%), and EVA02-CLIP-L-14 (88.27%).

Which MIEB English Clustering model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among MIEB English Clustering results?

No matched runtime record is currently available.

Does the highest official leaderboard task-type mean result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does MIEB English Clustering measure?

It reports the Official leaderboard task-type mean in ratio units.

Is a higher official leaderboard task-type mean better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

49 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1EVA02-CLIP-bigE-14-plus92.38%
Rank #2EVA02-CLIP-bigE-1489.42%
Rank #3EVA02-CLIP-L-1488.27%
Rank #4CLIP-ViT-L-14-DataComp.XL-s13B-b90K86.44%

Ranking basisThis mieb english clustering AI model leaderboard uses descending official leaderboard task-type mean in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    QU
    EVA02-CLIP-bigE-14-plusQuansun
    Official leaderboard task-type mean
    92.38%

    Strengths

    • Ranks #1 of 49 compared models
    • 100th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures MIEB English Clustering, not total model capability
  2. 02
    QU
    EVA02-CLIP-bigE-14Quansun
    Official leaderboard task-type mean
    89.42%

    Strengths

    • Ranks #2 of 49 compared models
    • 98th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures MIEB English Clustering, not total model capability
  3. 03
    QU
    Quansun
    Official leaderboard task-type mean
    88.27%

    Strengths

    • Ranks #3 of 49 compared models
    • 96th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures MIEB English Clustering, not total model capability
  4. 04
    LA
    Laion
    Official leaderboard task-type mean
    86.44%

    Strengths

    • Ranks #4 of 49 compared models
    • 94th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures MIEB English Clustering, not total model capability
  5. 05
    JI
    Jinaai
    Official leaderboard task-type mean
    86.01%

    Strengths

    • Ranks #5 of 49 compared models
    • 92th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures MIEB English Clustering, not total model capability

Selection summary

Best AI Models for MIEB English Clustering

EVA02-CLIP-bigE-14-plus currently leads MIEB English Clustering with 92.38%. 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.

EVA02-CLIP-L-14
CLIP-ViT-L-14-DataComp.XL-s13B-b90K
jina-embeddings-v5-omni-small
Benchmark rank #1EVA02-CLIP-bigE-14-plus92.38%
Benchmark rank #2EVA02-CLIP-bigE-1489.42%
Benchmark rank #3EVA02-CLIP-L-1488.27%