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classification benchmark

MIEB English Classification Leaderboard

MIEB English Classification is a classification benchmark with a current leaderboard.

Updated Sep 8, 2026

Models49
Model coverage49
MetricOfficial leaderboard task-type mean
EvidenceA

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MIEB English Classification Ranking

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

30 of 49 rows
Columns

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Rank
Model
Official leaderboard task-type mean
Percentile
Participants
Evidence
Evaluated
Rank01ModelFAdinov2-giantFacebookOfficial leaderboard task-type mean78.89%Percentile100.00%Participants49EvidenceAEvaluatedN/A
Rank02ModelQUEVA02-CLIP-bigE-14-plusQuansunOfficial leaderboard task-type mean78.37%Percentile97.92%Participants49EvidenceAEvaluatedN/A
Rank03ModelFAdinov2-largeFacebookOfficial leaderboard task-type mean77.99%Percentile95.83%Participants49EvidenceAEvaluatedN/A
Rank04ModelGOsiglip-so400m-patch14-384GoogleOfficial leaderboard task-type mean77.71%Percentile93.75%Participants49EvidenceAEvaluatedN/A
Rank05ModelQUEVA02-CLIP-bigE-14QuansunOfficial leaderboard task-type mean76.92%Percentile91.67%Participants49EvidenceAEvaluatedN/A
Rank06ModelFAdinov2-baseFacebookOfficial leaderboard task-type mean76.62%Percentile89.58%Participants49EvidenceAEvaluatedN/A
Rank07ModelLACLIP-ViT-bigG-14-laion2B-39B-b160kLaionOfficial leaderboard task-type mean76.50%Percentile87.50%Participants49EvidenceAEvaluatedN/A
Rank08ModelGOsiglip-large-patch16-384GoogleOfficial leaderboard task-type mean75.85%Percentile85.42%Participants49EvidenceAEvaluatedN/A
Rank09ModelLACLIP-ViT-g-14-laion2B-s34B-b88KLaionOfficial leaderboard task-type mean75.32%Percentile83.33%Participants49EvidenceAEvaluatedN/A
Rank10ModelLACLIP-ViT-L-14-DataComp.XL-s13B-b90KLaionOfficial leaderboard task-type mean75.18%Percentile81.25%Participants49EvidenceAEvaluatedN/A
Rank11ModelGOsiglip-large-patch16-256GoogleOfficial leaderboard task-type mean75.10%Percentile79.17%Participants49EvidenceAEvaluatedN/A
Rank12ModelLACLIP-ViT-H-14-laion2B-s32B-b79KLaionOfficial leaderboard task-type mean74.97%Percentile77.08%Participants49EvidenceAEvaluatedN/A
Rank13ModelFAdinov2-smallFacebookOfficial leaderboard task-type mean73.56%Percentile75.00%Participants49EvidenceAEvaluatedN/A
Rank14ModelLACLIP-ViT-L-14-laion2B-s32B-b82KLaionOfficial leaderboard task-type mean73.53%Percentile72.92%Participants49EvidenceAEvaluatedN/A
Rank15ModelGOsiglip-base-patch16-512GoogleOfficial leaderboard task-type mean72.47%Percentile70.83%Participants49EvidenceAEvaluatedN/A
Rank16ModelGOsiglip-base-patch16-384GoogleOfficial leaderboard task-type mean72.35%Percentile68.75%Participants49EvidenceAEvaluatedN/A
Rank17ModelGOsiglip-base-patch16-256GoogleOfficial leaderboard task-type mean71.38%Percentile66.67%Participants49EvidenceAEvaluatedN/A
Rank18ModelOPclip-vit-large-patch14OpenAIOfficial leaderboard task-type mean71.09%Percentile64.58%Participants49EvidenceAEvaluatedN/A
Rank19ModelGOsiglip-base-patch16-224GoogleOfficial leaderboard task-type mean70.99%Percentile62.50%Participants49EvidenceAEvaluatedN/A
Rank20ModelLACLIP-ViT-B-16-DataComp.XL-s13B-b90KLaionOfficial leaderboard task-type mean70.63%Percentile60.42%Participants49EvidenceAEvaluatedN/A
Rank21ModelGOsiglip-base-patch16-256-multilingualGoogleOfficial leaderboard task-type mean70.05%Percentile58.33%Participants49EvidenceAEvaluatedN/A
Rank22ModelJIjina-embeddings-v5-omni-smallJinaaiOfficial leaderboard task-type mean69.13%Percentile56.25%Participants49EvidenceAEvaluatedN/A
Rank23ModelLACLIP-ViT-B-32-laion2B-s34B-b79KLaionOfficial leaderboard task-type mean67.32%Percentile54.17%Participants49EvidenceAEvaluatedN/A
Rank24ModelLACLIP-ViT-B-32-DataComp.XL-s13B-b90KLaionOfficial leaderboard task-type mean67.28%Percentile52.08%Participants49EvidenceAEvaluatedN/A
Rank25ModelQUEVA02-CLIP-L-14QuansunOfficial leaderboard task-type mean67.23%Percentile50.00%Participants49EvidenceAEvaluatedN/A
Rank26ModelOPclip-vit-base-patch16OpenAIOfficial leaderboard task-type mean65.67%Percentile47.92%Participants49EvidenceAEvaluatedN/A
Rank27ModelDNDNA-VL-STEER-2BDnotitiaOfficial leaderboard task-type mean65.07%Percentile45.83%Participants49EvidenceAEvaluatedN/A
Rank28ModelVOvoyage-multimodal-3VoyageaiOfficial leaderboard task-type mean64.78%Percentile43.75%Participants49EvidenceAEvaluatedN/A
Rank29ModelNVmoco-v3-vit-lNyu VisionxOfficial leaderboard task-type mean62.73%Percentile41.67%Participants49EvidenceAEvaluatedN/A
Rank30ModelOPclip-vit-base-patch32OpenAIOfficial leaderboard task-type mean62.52%Percentile39.58%Participants49EvidenceAEvaluatedN/A

MIEB English Classification Highlights

The leading models and scores on this benchmark.

MIEB English Classification Score Distribution

A closer view of the leading scores on this benchmark.

MIEB English Classification

The Top AI Models for MIEB English Classification

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 Classification?

What MIEB English Classification measures and how its scores work.

MIEB English Classification is a classification benchmark.

It measures the Official leaderboard task-type mean, reported as a ratio.

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

Family
MIEB English
Modality
multimodal
Primary category
classification
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 Classification.

Which model scores highest on MIEB English Classification?

dinov2-giant is currently ranked first with 78.89%.

What are the top three models on MIEB English Classification?

The current leaders are dinov2-giant (78.89%), EVA02-CLIP-bigE-14-plus (78.37%), and dinov2-large (77.99%).

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

No matched official input price is currently available.

Which models are fastest among MIEB English Classification 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 Classification measure?

It measures the Official leaderboard task-type mean, reported as a ratio.

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 #1dinov2-giant78.89%
Rank #2EVA02-CLIP-bigE-14-plus78.37%
Rank #3dinov2-large77.99%
Rank #4siglip-so400m-patch14-38477.71%

Ranking basisThis mieb english classification 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
    FA
    dinov2-giantFacebook
    Official leaderboard task-type mean
    78.89%

    Strengths

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

    Considerations

    • This result measures MIEB English Classification, not total model capability
  2. 02
    QU
    EVA02-CLIP-bigE-14-plusQuansun
    Official leaderboard task-type mean
    78.37%

    Strengths

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

    Considerations

    • This result measures MIEB English Classification, not total model capability
  3. 03
    FA
    Facebook
    Official leaderboard task-type mean
    77.99%

    Strengths

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

    Considerations

    • This result measures MIEB English Classification, not total model capability
  4. 04
    GO
    Google
    Official leaderboard task-type mean
    77.71%

    Strengths

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

    Considerations

    • This result measures MIEB English Classification, not total model capability
  5. 05
    QU
    Quansun
    Official leaderboard task-type mean
    76.92%

    Strengths

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

    Considerations

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

Selection summary

Best AI Models for MIEB English Classification

dinov2-giant currently leads MIEB English Classification with 78.89%. 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.

dinov2-large
siglip-so400m-patch14-384
EVA02-CLIP-bigE-14
Benchmark rank #1dinov2-giant78.89%
Benchmark rank #2EVA02-CLIP-bigE-14-plus78.37%
Benchmark rank #3dinov2-large77.99%