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semantic similarity benchmark

MIEB English Semantic Similarity Leaderboard

MIEB English Semantic Similarity is a current leaderboard for MIEB(eng) semantic_similarity.

Updated Sep 8, 2026

Models50
Model coverage50
MetricOfficial leaderboard task-type mean
EvidenceA

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MIEB English Semantic Similarity Ranking

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

30 of 50 rows
Columns

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Rank
Model
Official leaderboard task-type mean
Percentile
Participants
Evidence
Evaluated
Rank01ModelLALanguageBind_OmniLanguagebindOfficial leaderboard task-type mean69.58%Percentile100.00%Participants50EvidenceAEvaluatedN/A
Rank02ModelJIjina-embeddings-v5-omni-smallJinaaiOfficial leaderboard task-type mean63.93%Percentile97.96%Participants50EvidenceAEvaluatedN/A
Rank03ModelDNDNA-VL-STEER-2BDnotitiaOfficial leaderboard task-type mean62.84%Percentile95.92%Participants50EvidenceAEvaluatedN/A
Rank04ModelROe5-vRoyokongOfficial leaderboard task-type mean62.80%Percentile93.88%Participants50EvidenceAEvaluatedN/A
Rank05ModelVOvoyage-multimodal-3VoyageaiOfficial leaderboard task-type mean62.68%Percentile91.84%Participants50EvidenceAEvaluatedN/A
Rank06ModelQUEVA02-CLIP-bigE-14-plusQuansunOfficial leaderboard task-type mean58.83%Percentile89.80%Participants50EvidenceAEvaluatedN/A
Rank07ModelLACLIP-ViT-bigG-14-laion2B-39B-b160kLaionOfficial leaderboard task-type mean56.64%Percentile87.76%Participants50EvidenceAEvaluatedN/A
Rank08ModelOPclip-vit-base-patch16OpenAIOfficial leaderboard task-type mean55.61%Percentile85.71%Participants50EvidenceAEvaluatedN/A
Rank09ModelQUEVA02-CLIP-bigE-14QuansunOfficial leaderboard task-type mean55.57%Percentile83.67%Participants50EvidenceAEvaluatedN/A
Rank10ModelLACLIP-ViT-g-14-laion2B-s34B-b88KLaionOfficial leaderboard task-type mean55.54%Percentile81.63%Participants50EvidenceAEvaluatedN/A
Rank11ModelJIjina-embeddings-v5-omni-nanoJinaaiOfficial leaderboard task-type mean54.76%Percentile79.59%Participants50EvidenceAEvaluatedN/A
Rank12ModelOPclip-vit-large-patch14OpenAIOfficial leaderboard task-type mean54.60%Percentile77.55%Participants50EvidenceAEvaluatedN/A
Rank13ModelGOsiglip-large-patch16-384GoogleOfficial leaderboard task-type mean54.60%Percentile75.51%Participants50EvidenceAEvaluatedN/A
Rank14ModelLACLIP-ViT-L-14-DataComp.XL-s13B-b90KLaionOfficial leaderboard task-type mean54.49%Percentile73.47%Participants50EvidenceAEvaluatedN/A
Rank15ModelSAblip-itm-base-cocoSalesforceOfficial leaderboard task-type mean54.28%Percentile71.43%Participants50EvidenceAEvaluatedN/A
Rank16ModelGOsiglip-so400m-patch14-384GoogleOfficial leaderboard task-type mean54.19%Percentile69.39%Participants50EvidenceAEvaluatedN/A
Rank17ModelGOsiglip-large-patch16-256GoogleOfficial leaderboard task-type mean54.09%Percentile67.35%Participants50EvidenceAEvaluatedN/A
Rank18ModelTLVLM2Vec-FullTiger LabOfficial leaderboard task-type mean54.04%Percentile65.31%Participants50EvidenceAEvaluatedN/A
Rank19ModelJIjina-clip-v1JinaaiOfficial leaderboard task-type mean53.86%Percentile63.27%Participants50EvidenceAEvaluatedN/A
Rank20ModelLACLIP-ViT-H-14-laion2B-s32B-b79KLaionOfficial leaderboard task-type mean53.77%Percentile61.22%Participants50EvidenceAEvaluatedN/A
Rank21ModelTLVLM2Vec-LoRATiger LabOfficial leaderboard task-type mean53.60%Percentile59.18%Participants50EvidenceAEvaluatedN/A
Rank22ModelQUEVA02-CLIP-L-14QuansunOfficial leaderboard task-type mean53.59%Percentile57.14%Participants50EvidenceAEvaluatedN/A
Rank23ModelLACLIP-ViT-B-16-DataComp.XL-s13B-b90KLaionOfficial leaderboard task-type mean53.56%Percentile55.10%Participants50EvidenceAEvaluatedN/A
Rank24ModelSAblip-itm-base-flickrSalesforceOfficial leaderboard task-type mean53.49%Percentile53.06%Participants50EvidenceAEvaluatedN/A
Rank25ModelLACLIP-ViT-L-14-laion2B-s32B-b82KLaionOfficial leaderboard task-type mean53.33%Percentile51.02%Participants50EvidenceAEvaluatedN/A
Rank26ModelGOsiglip-base-patch16-256GoogleOfficial leaderboard task-type mean52.84%Percentile48.98%Participants50EvidenceAEvaluatedN/A
Rank27ModelGOsiglip-base-patch16-384GoogleOfficial leaderboard task-type mean52.80%Percentile46.94%Participants50EvidenceAEvaluatedN/A
Rank28ModelGOsiglip-base-patch16-512GoogleOfficial leaderboard task-type mean52.60%Percentile44.90%Participants50EvidenceAEvaluatedN/A
Rank29ModelGOsiglip-base-patch16-224GoogleOfficial leaderboard task-type mean52.04%Percentile42.86%Participants50EvidenceAEvaluatedN/A
Rank30ModelGOsiglip-base-patch16-256-multilingualGoogleOfficial leaderboard task-type mean51.80%Percentile40.82%Participants50EvidenceAEvaluatedN/A

MIEB English Semantic Similarity Highlights

The leading models and scores on this benchmark.

MIEB English Semantic Similarity Score Distribution

A closer view of the leading scores on this benchmark.

MIEB English Semantic Similarity

The Top AI Models for MIEB English Semantic Similarity

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 Semantic Similarity?

What MIEB English Semantic Similarity measures and how its scores work.

A benchmark leaderboard for MIEB(eng) semantic_similarity.

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
semantic similarity
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 Semantic Similarity.

Which model scores highest on MIEB English Semantic Similarity?

LanguageBind_Omni is currently ranked first with 69.58%.

What are the top three models on MIEB English Semantic Similarity?

The current leaders are LanguageBind_Omni (69.58%), jina-embeddings-v5-omni-small (63.93%), and DNA-VL-STEER-2B (62.84%).

Which MIEB English Semantic Similarity model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among MIEB English Semantic Similarity 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 Semantic Similarity measure?

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?

50 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 #1LanguageBind_Omni69.58%
Rank #2jina-embeddings-v5-omni-small63.93%
Rank #3DNA-VL-STEER-2B62.84%
Rank #4e5-v62.80%

Ranking basisThis mieb english semantic similarity 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
    LA
    LanguageBind_OmniLanguagebind
    Official leaderboard task-type mean
    69.58%

    Strengths

    • Ranks #1 of 50 compared models
    • 100th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures MIEB English Semantic Similarity, not total model capability
  2. 02
    JI
    jina-embeddings-v5-omni-smallJinaai
    Official leaderboard task-type mean
    63.93%

    Strengths

    • Ranks #2 of 50 compared models
    • 98th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures MIEB English Semantic Similarity, not total model capability
  3. 03
    DN
    Dnotitia
    Official leaderboard task-type mean
    62.84%

    Strengths

    • Ranks #3 of 50 compared models
    • 96th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures MIEB English Semantic Similarity, not total model capability
  4. 04
    RO
    Royokong
    Official leaderboard task-type mean
    62.80%

    Strengths

    • Ranks #4 of 50 compared models
    • 94th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures MIEB English Semantic Similarity, not total model capability
  5. 05
    VO
    Voyageai
    Official leaderboard task-type mean
    62.68%

    Strengths

    • Ranks #5 of 50 compared models
    • 92th percentile on this benchmark
    • A evidence result

    Considerations

    • This result measures MIEB English Semantic Similarity, not total model capability

Selection summary

Best AI Models for MIEB English Semantic Similarity

LanguageBind_Omni currently leads MIEB English Semantic Similarity with 69.58%. 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.

DNA-VL-STEER-2B
e5-v
voyage-multimodal-3
Benchmark rank #1LanguageBind_Omni69.58%
Benchmark rank #2jina-embeddings-v5-omni-small63.93%
Benchmark rank #3DNA-VL-STEER-2B62.84%