# Multilingual-E5-Large

> Source: Benchize (https://benchize.com) — https://benchize.com/models/multilingual-e5-large. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/multilingual-e5-large.

Intfloat

Canonical URL: https://benchize.com/models/multilingual-e5-large
Last updated: Wed, 21 Oct 2026 18:52:20 GMT

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Intfloat

## Benchmarks

| Benchmark | Score | Rank |  |
| --- | --- | --- | --- |
| [MTEB(cmn, v1) · Chinese](https://benchize.com/benchmarks/mteb%3AMTEB(cmn%2C%20v1).md) | 0.58source score | 3 / 3 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.577819545754138 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5787555260855569 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 52 scoresByTask {"AFQMC":0.33012696210135656,"ATEC":0.3980494990888422,"BQ":0.464386067989206,"CLSClusteringP2P":0.391453,"CLSClusteringS2S":0.368188,"CMedQAv1-reranking":0.67647,"CMedQAv2-reranking":0.66757,"CmedqaRetrieval":0.28656,"Cmnli":0.698256,"CovidRetrieval":0.75614,"DuRetrieval":0.853,"EcomRetrieval":0.54675,"IFlyTek":0.4186225471335129,"JDReview":0.8054409005628518,"LCQMC":0.7594603959481365,"MMarcoReranking":0.29117792745295484,"MMarcoRetrieval":0.79202,"MedicalRetrieval":0.5144,"MultilingualSentiment":0.7089666666666666,"Ocnli":0.586356,"OnlineShopping":0.9045,"PAWSX":0.14633512665991377,"QBQTC":0.274698,"STSB":0.8108128746883166,"T2Reranking":0.6632099500865187,"T2Retrieval":0.76072,"TNews":0.48801000000000005,"ThuNewsClusteringP2P":0.559314,"ThuNewsClusteringS2S":0.545622,"VideoRetrieval":0.58279,"Waimai":0.8629999999999999} scoresByTaskType {"Classification":0.6980900190605052,"Clustering":0.46614425,"PairClassification":0.642306,"Reranking":0.5746069693848684,"Retrieval":0.6365474999999999,"STS":0.45483841806796743} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(cmn%2C%20v1)/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:30.174Z Evidence SHA-256 `f29b711d6747ee5848d9b127e7517197a0d38a3c72a3ee75c810bd13b1c75370` Source locator `/rows/51` |  |  |  |
| [MTEB(Law, v1) · Legal](https://benchize.com/benchmarks/mteb%3AMTEB(Law%2C%20v1).md) | 0.48source score | 3 / 12 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.483885 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.483885 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 67 scoresByTask {"AILACasedocs":0.26427,"AILAStatutes":0.20842,"GerDaLIRSmall":0.15723,"LeCaRDv2":0.55828,"LegalBenchConsumerContractsQA":0.73301,"LegalBenchCorporateLobbying":0.89716,"LegalQuAD":0.43172,"LegalSummarization":0.62099} scoresByTaskType {"Retrieval":0.483885} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Law%2C%20v1)/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:35.593Z Evidence SHA-256 `366cc22709240d33f3a878edf79ca05670c259d3ada02601cd525a1dfb8143c1` Source locator `/rows/66` |  |  |  |
| [FollowIR · Instruction Following](https://benchize.com/benchmarks/mteb%3AFollowIR.md) | -0.03source score | 12 / 16 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| -0.030542 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| -0.030542 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 163 scoresByTask {"Core17InstructionRetrieval":-0.016235,"News21InstructionRetrieval":-0.000595,"Robust04InstructionRetrieval":-0.074796} scoresByTaskType {"InstructionReranking":-0.030542} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/FollowIR/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:36.107Z Evidence SHA-256 `9727e715325c0f35c67173e5a59d96566fb3dded3f9f1558f9a7ddf230445ddb` Source locator `/rows/162` |  |  |  |
| [MTEB(deu, v1) · German](https://benchize.com/benchmarks/mteb%3AMTEB(deu%2C%20v1).md) | 0.55source score | 1 / 10 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.549381552631579 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5504384166666666 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 94 ### Reported statistics experiments Not reported rank 19 scoresByTask {"AmazonCounterfactualClassification":0.696521,"AmazonReviewsClassification":0.43118999999999996,"BlurbsClusteringP2P":0.415229,"BlurbsClusteringS2S":0.167998,"FalseFriendsGermanEnglish":0.534444,"GerDaLIR":0.06533,"GermanDPR":0.82895,"GermanQuAD-Retrieval":0.932214,"GermanSTSBenchmark":0.840798,"MIRACLReranking":0.5361,"MTOPDomainClassification":0.8987885,"MTOPIntentClassification":0.671986,"MassiveIntentClassification":0.645248,"MassiveScenarioClassification":0.704144,"PawsXPairClassification":0.547291,"STS22":0.590732,"TenKGnadClusteringP2P":0.448306,"TenKGnadClusteringS2S":0.30835,"XMarket":0.17463} scoresByTaskType {"Classification":0.67464625,"Clustering":0.33497075,"PairClassification":0.5408675000000001,"Reranking":0.5361,"Retrieval":0.500281,"STS":0.715765} trainedOnTasks ["MIRACLReranking"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(deu%2C%20v1)/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:33.254Z Evidence SHA-256 `3049d3866e4630fda80cc24a54b97fabf1229366932e83607c39ce357fcc2e20` Source locator `/rows/18` |  |  |  |
| [MTEB(fas, v2) · Persian](https://benchize.com/benchmarks/mteb%3AMTEB(fas%2C%20v2).md) | 0.64source score | 2 / 3 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.6427799123931626 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.6735584020524877 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 88 ### Reported statistics experiments Not reported rank 11 scoresByTask {"ArguAna-Fa.v2":0.41271,"BeytooteClustering":0.615017,"DeepSentiPers.v2":0.576946,"DigikalamagClassification":0.87054,"DigikalamagClustering":0.39889,"FEVER-FaHardNegatives":0.46152,"FarsTail":0.72554,"FarsiParaphraseDetection":0.975728,"Farsick":0.706725,"FiQA2018-Fa.v2":0.29464,"HamshahriClustring":0.674206,"HotpotQA-FaHardNegatives":0.61532,"MIRACLReranking":0.59361,"MIRACLRetrievalHardNegatives":0.59229,"MSMARCO-FaHardNegatives":0.68705,"MassiveIntentClassification":0.654879,"MassiveScenarioClassification":0.6858690000000001,"NLPTwitterAnalysisClassification.v2":0.765865,"NLPTwitterAnalysisClustering":0.784829,"NQ-FaHardNegatives":0.49834,"NeuCLIR2023RetrievalHardNegatives":0.50592,"ParsinluEntail":0.654551,"ParsinluQueryParaphPC":0.878273,"PerShopDomainClassification":0.551665,"PerShopIntentClassification":0.906917,"PersianFoodSentimentClassification":0.821167,"PersianTextEmotion.v2":0.609051,"PersianWebDocumentRetrieval":0.46761,"QuoraRetrieval-Fa.v2":0.77876,"SAMSumFa":0.924173,"SCIDOCS-Fa.v2":0.12217,"SIDClassification.v2":0.613742,"SIDClustring":0.386513,"SciFact-Fa.v2":0.60374,"StyleClassification":0.649219,"SynPerChatbotConvSAClassification":0.6076754444444444,"SynPerChatbotConvSAToneChatbotClassification":0.58072,"SynPerChatbotConvSAToneUserClassification":0.525951,"SynPerChatbotRAGFAQPC":0.630306,"SynPerChatbotRAGFAQRetrieval":0.23481,"SynPerChatbotRAGSumSRetrieval":0.498072,"SynPerChatbotSatisfactionLevelClassification":0.25231,"SynPerChatbotSumSRetrieval":0.275999,"SynPerQAPC":0.951645,"SynPerQARetrieval":0.87354,"SynPerSTS":0.879773,"SynPerTextKeywordsPC":0.94786,"SynPerTextToneClassification.v3":0.841189,"TRECCOVID-Fa.v2":0.71766,"WebFAQRetrieval":0.74585,"WikipediaRerankingMultilingual":0.8932,"WikipediaRetrievalMultilingual":0.90401} scoresByTaskType {"BitextMining":0.5660813333333333,"Classification":0.6571065902777777,"Clustering":0.5718909999999999,"PairClassification":0.8234147142857143,"Reranking":0.743405,"Retrieval":0.5597611764705883,"STS":0.7932490000000001} trainedOnTasks ["FEVER-FaHardNegatives","HotpotQA-FaHardNegatives","MIRACLReranking","MIRACLRetrievalHardNegatives","MSMARCO-FaHardNegatives","NQ-FaHardNegatives"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(fas%2C%20v2)/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:30.698Z Evidence SHA-256 `37f3202cf21bcdda5c3dcff6173d2b935419ec840adc6e6b32d669920b744d43` Source locator `/rows/10` |  |  |  |
| [MTEB(spa, v1) · Spanish](https://benchize.com/benchmarks/mteb%3AMTEB(spa%2C%20v1).md) | 0.65source score | 5 / 5 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.6474406676111926 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.6561661037808139 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 87 ### Reported statistics experiments Not reported rank 15 scoresByTask {"MIRACLReranking":0.61653,"MIRACLRetrievalHardNegatives.v2":0.53331,"MLSUMClusteringP2P":0.4630645,"MLSUMClusteringS2S":0.468098,"MintakaRetrieval":0.34233,"PawsXPairClassification":0.5542009999999999,"STS17":0.837241169816513,"STS22":0.682316,"STSBenchmarkMultilingualSTS":0.8506525,"STSES":0.8021052030021173,"SpanishNewsClassification.v2":0.886182,"SpanishPassageRetrievalS2P":0.41957,"SpanishPassageRetrievalS2S":0.72324,"SpanishSentimentClassification.v2":0.924088,"XNLI":0.7488556422937852,"XPQARetrieval":0.5072666666666666} scoresByTaskType {"Classification":0.905135,"Clustering":0.46558125,"PairClassification":0.6515283211468925,"Reranking":0.61653,"Retrieval":0.5051433333333334,"STS":0.7930787182046576} trainedOnTasks ["MIRACLReranking","MIRACLRetrievalHardNegatives.v2"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(spa%2C%20v1)/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:36.375Z Evidence SHA-256 `c8eba8bf2233665c86eba5e08e282beb5d4c20ed913f54f2b53d398a89d7ffcf` Source locator `/rows/14` |  |  |  |
| [ChemTEB · Chemical](https://benchize.com/benchmarks/mteb%3AChemTEB.md) | 0.68source score | 11 / 13 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.6827171080246913 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4846361107843137 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 34 scoresByTask {"ChemHotpotQARetrieval":0.7978533333333333,"ChemNQRetrieval":0.66172,"PubChemAISentenceParaphrasePC":0.966415,"PubChemSMILESBitextMining":0.0020812499999999998,"PubChemSMILESPC":0.10766,"PubChemSynonymPC":0.639594,"PubChemWikiPairClassification":0.9452433333333333,"PubChemWikiParagraphsPC":0.191996,"SDSEyeProtectionClassification":0.7115,"SDSGlovesClassification":0.6371,"WikipediaBioMetChemClassification":0.987728,"WikipediaBiolumNeurochemClassification":0.957143,"WikipediaChemEngSpecialtiesClassification":0.320161,"WikipediaChemFieldsClassification":0.487578,"WikipediaChemistryTopicsClassification":0.846318,"WikipediaChemistryTopicsClustering":0.65198,"WikipediaCompChemSpectroscopyClassification":0.746606,"WikipediaCryobiologySeparationClassification":0.919742,"WikipediaCrystallographyAnalyticalClassification":0.929553,"WikipediaGreenhouseEnantiopureClassification":0.973684,"WikipediaIsotopesFissionClassification":0.907143,"WikipediaLuminescenceClassification":0.879268,"WikipediaOrganicInorganicClassification":0.885551,"WikipediaSaltsSemiconductorsClassification":0.854545,"WikipediaSolidStateColloidalClassification":0.787162,"WikipediaSpecialtiesInChemistryClustering":0.006477,"WikipediaTheoreticalAppliedClassification":0.63156} scoresByTaskType {"BitextMining":0.0020812499999999998,"Classification":0.7919024705882353,"Clustering":0.3292285,"PairClassification":0.5701816666666667,"Retrieval":0.7297866666666666} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/ChemTEB/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:30.425Z Evidence SHA-256 `a686e5d3d53f427eaafcd06cf50605dd45e3b4e0a7aaae31f5e8c757b4adbbed` Source locator `/rows/33` |  |  |  |
| [VN-MTEB (vie, v1) · Vietnamese](https://benchize.com/benchmarks/mteb%3AVN-MTEB%20(vie%2C%20v1).md) | 0.52source score | 2 / 4 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5151633200000001 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.6253200666666667 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 92 ### Reported statistics experiments Not reported rank 15 scoresByTask {"AmazonCounterfactualVNClassification":0.607082,"AmazonPolarityVNClassification":0.764192,"AmazonReviewsVNClassification":0.396758,"ArguAna-VN":0.47883,"AskUbuntuDupQuestions-VN":0.613241,"BIOSSES-VN":0.816868,"Banking77VNClassification":0.737426,"CQADupstackAndroid-VN":0.42279,"CQADupstackGis-VN":0.31281,"CQADupstackMathematica-VN":0.24057,"CQADupstackPhysics-VN":0.36531,"CQADupstackProgrammers-VN":0.34531,"CQADupstackStats-VN":0.27806,"CQADupstackTex-VN":0.22683,"CQADupstackUnix-VN":0.3362,"CQADupstackWebmasters-VN":0.33068,"CQADupstackWordpress-VN":0.25557,"ClimateFEVER-VN":0.15426,"DBPedia-VN":0.31584,"EmotionVNClassification":0.41548700000000005,"FEVER-VN":0.58297,"FiQA2018-VN":0.31511,"HotpotQA-VN":0.65109,"ImdbVNClassification":0.726819,"MSMARCO-VN":0.39078,"MTOPDomainVNClassification":0.847491,"MTOPIntentVNClassification":0.573268,"MassiveIntentVNClassification":0.657343,"MassiveScenarioVNClassification":0.683166,"NFCorpus-VN":0.31502,"NQ-VN":0.52316,"Quora-VN":0.66494,"RedditClustering-VN":0.420788,"RedditClusteringP2P-VN":0.606342,"SCIDOCS-VN":0.13736,"SICK-R-VN":0.782248,"STSBenchmark-VN":0.820296,"SciDocsRR-VN":0.819875,"SciFact-VN":0.68496,"SprintDuplicateQuestions-VN":0.9430540000000001,"StackExchangeClustering-VN":0.563929,"StackExchangeClusteringP2P-VN":0.320292,"StackOverflowDupQuestions-VN":0.48884,"TRECCOVID-VN":0.54706,"Touche2020-VN":0.16012,"ToxicConversationsVNClassification":0.642627,"TweetSentimentExtractionVNClassification":0.522906,"TwentyNewsgroupsClustering-VN":0.376911,"TwitterSemEval2015-VN":0.717808,"TwitterURLCorpus-VN":0.857479} scoresByTaskType {"Classification":0.63121375,"Clustering":0.4576524,"PairClassification":0.8394470000000002,"Reranking":0.6406520000000001,"Retrieval":0.3764845833333334,"STS":0.8064706666666667} trainedOnTasks ["FEVER-VN","HotpotQA-VN","MSMARCO-VN","NQ-VN"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/VN-MTEB%20(vie%2C%20v1)/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:38.399Z Evidence SHA-256 `65e2e66d9e4b93fcd9e3a8adbe2a15d048cf7b4df821714b7966df0fd7692258` Source locator `/rows/14` |  |  |  |
| [RTEB(deu, beta) · RTEB German](https://benchize.com/benchmarks/mteb%3ARTEB(deu%2C%20beta).md) | 0.43source score | 6 / 17 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.43172 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 90 scoresByTask {"LegalQuAD":0.43172} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(deu%2C%20beta)/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:40.727Z Evidence SHA-256 `70250aaee4788084a090cdccd91621a3c80bbf5076195bc3f215bcb392e7637d` Source locator `/rows/89` |  |  |  |
| [RTEB(Law, beta) · RTEB Legal](https://benchize.com/benchmarks/mteb%3ARTEB(Law%2C%20beta).md) | 0.38source score | 7 / 17 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.38134999999999997 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 109 scoresByTask {"AILACasedocs":0.26427,"AILAStatutes":0.20842,"LegalQuAD":0.43172,"LegalSummarization":0.62099} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(Law%2C%20beta)/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:41.494Z Evidence SHA-256 `7204bf17f439a2d3c2052309544ff33f53928c057dd204e20b275f942e4f5516` Source locator `/rows/108` |  |  |  |
| [RTEB(fra, beta) · RTEB French](https://benchize.com/benchmarks/mteb%3ARTEB(fra%2C%20beta).md) | 0.47source score | 6 / 17 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.47035727272727273 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 56 scoresByTask {"CUREv1":0.47035727272727273} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(fra%2C%20beta)/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:40.473Z Evidence SHA-256 `ec979a256821300f551b7822b61d94415dd4bf631591e9b647f2b6ae5b4b60f4` Source locator `/rows/55` |  |  |  |
| [BEIR-NL](https://benchize.com/benchmarks/mteb%3ABEIR-NL.md) | 0.46source score | 1 / 2 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4594264 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4594264 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 73 ### Reported statistics experiments Not reported rank 4 scoresByTask {"ArguAna-NL":0.48945,"CQADupstack-NL":0.319826,"ClimateFEVER-NL":0.13822,"DBPedia-NL":0.38679,"FEVER-NL":0.72736,"FiQA2018-NL":0.32841,"HotpotQA-NL":0.69128,"NFCorpus-NL":0.29824,"NQ-NL":0.5821,"Quora-NL":0.82052,"SCIDOCS-NL":0.13093,"SciFact-NL":0.684,"TRECCOVID-NL":0.69788,"Touche2020-NL":0.22265,"mMARCO-NL":0.37374} scoresByTaskType {"Retrieval":0.4594264} trainedOnTasks ["FEVER-NL","HotpotQA-NL","NQ-NL","mMARCO-NL"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/BEIR-NL/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:29.665Z Evidence SHA-256 `1f3c03a4598d75810f3de7781dd4b0924865cdf62650433fb54b007ba04cd8a8` Source locator `/rows/3` |  |  |  |
| [MTEB(por, v1) · Portuguese](https://benchize.com/benchmarks/mteb%3AMTEB(por%2C%20v1).md) | 0.69source score | 1 / 1 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.6917668214285715 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.6297900333333334 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 5 scoresByTask {"Assin2STS":0.783119,"BrazilianToxicTweetsClassification":0.177393,"HateSpeechPortugueseClassification":0.572803,"MassiveIntentClassification":0.642956,"MultiHateClassification":0.6518,"MultiLongDocReranking":0.92407,"MultiLongDocRetrieval":0.5848599999999999,"SICK-BR-STS":0.781882,"STSBenchmarkMultilingualSTS":0.8115175,"TweetSentimentClassification":0.503125,"WebFAQRetrieval":0.76119,"WikipediaRerankingMultilingual":0.87636,"WikipediaRetrievalMultilingual":0.88904,"XGlueWPRReranking":0.72462} scoresByTaskType {"Classification":0.5926710000000001,"MultilabelClassification":0.177393,"Reranking":0.8416833333333334,"Retrieval":0.74503,"STS":0.7921728333333333} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(por%2C%20v1)/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:35.164Z Evidence SHA-256 `cee4ac0f42dc54fedfef034e279a9ba63ca54020a8e6de3961fcdf154e2dc7fc` Source locator `/rows/4` |  |  |  |
| [LongEmbed · Long-context Retrieval](https://benchize.com/benchmarks/mteb%3ALongEmbed.md) | 0.4source score | 6 / 13 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.40441666666666665 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.40441666666666665 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 72 scoresByTask {"LEMBNarrativeQARetrieval":0.24221,"LEMBNeedleRetrieval":0.28,"LEMBPasskeyRetrieval":0.3825,"LEMBQMSumRetrieval":0.24262,"LEMBSummScreenFDRetrieval":0.71117,"LEMBWikimQARetrieval":0.568} scoresByTaskType {"Retrieval":0.40441666666666665} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/LongEmbed/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:31.460Z Evidence SHA-256 `f15d7a6a931cf287269b9fe1060d2ae3f8cd2d1cc004a12b65bfc447716cc008` Source locator `/rows/71` |  |  |  |
| [RTEB(Health, beta) · RTEB Healthcare](https://benchize.com/benchmarks/mteb%3ARTEB(Health%2C%20beta).md) | 0.54source score | 6 / 14 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5424612121212121 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 49 scoresByTask {"CUREv1":0.5162124242424242,"ChatDoctorRetrieval":0.56871} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(Health%2C%20beta)/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:40.988Z Evidence SHA-256 `bf62d4318f836a1a4f92c7d21e3acad553ff4cffb3162ea312270b15ce1b4e32` Source locator `/rows/48` |  |  |  |
| [MTEB(nld, v1) · Dutch](https://benchize.com/benchmarks/mteb%3AMTEB(nld%2C%20v1).md) | 0.55source score | 4 / 11 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5466410749999999 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.6218625178571429 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 27 scoresByTask {"ArguAna-NL.v2":0.48945,"BelebeleRetrieval":0.95245,"CovidDisinformationNLMultiLabelClassification":0.497045,"DutchBookReviewSentimentClassification.v2":0.625641,"DutchColaClassification":0.567624,"DutchGovernmentBiasClassification":0.619348,"DutchNewsArticlesClassification":0.578071,"DutchNewsArticlesClusteringP2P":0.404494,"DutchNewsArticlesClusteringS2S":0.260053,"DutchNewsArticlesRetrieval":0.74591,"DutchSarcasticHeadlinesClassification":0.728079,"IconclassClassification":0.513432,"IconclassClusteringS2S":0.221955,"LegalQANLRetrieval":0.77478,"MassiveIntentClassification":0.6527505,"MassiveScenarioClassification":0.6998375,"MultiEURLEXMultilabelClassification":0.05668,"MultiHateClassification":0.6231,"NFCorpus-NL.v2":0.29824,"OpenTenderClassification":0.41933,"OpenTenderClusteringP2P":0.230143,"OpenTenderClusteringS2S":0.161738,"OpenTenderRetrieval":0.37779,"SCIDOCS-NL.v2":0.13093,"SIB200Classification":0.733912,"SIB200ClusteringS2S":0.394486,"SICK-NL-STS":0.76916,"SICKNLPairClassification":0.933187,"STSBenchmarkMultilingualSTS":0.833271,"SciFact-NL.v2":0.684,"VABBClusteringP2P":0.34365,"VABBClusteringS2S":0.30714,"VABBMultiLabelClassification":0.523338,"VABBRetrieval":0.70357,"VaccinChatNLClassification":0.506324,"WebFAQRetrieval":0.77189,"WikipediaRerankingMultilingual":0.90308,"WikipediaRetrievalMultilingual":0.91823,"XLWICNLPairClassification":0.673164,"bBSARDNLRetrieval":0.23837} scoresByTaskType {"Classification":0.60562075,"Clustering":0.290457375,"MultilabelClassification":0.359021,"PairClassification":0.8031755,"Reranking":0.90308,"Retrieval":0.5904675,"STS":0.8012155} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(nld%2C%20v1)/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:34.651Z Evidence SHA-256 `9a76f8c975d4a52e0646df4cf0d33d81638e502e09c4917d880ac698f501788a` Source locator `/rows/26` |  |  |  |
| [BEIR](https://benchize.com/benchmarks/mteb%3ABEIR.md) | 0.51source score | 7 / 15 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5145277333333333 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5145277333333333 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 73 ### Reported statistics experiments Not reported rank 105 scoresByTask {"ArguAna":0.54357,"CQADupstackRetrieval":0.396736,"ClimateFEVER":0.25732,"DBPedia":0.413,"FEVER":0.8279,"FiQA2018":0.43815,"HotpotQA":0.71224,"MSMARCO":0.43698,"NFCorpus":0.33983,"NQ":0.64031,"QuoraRetrieval":0.89263,"SCIDOCS":0.17447,"SciFact":0.70196,"TRECCOVID":0.7115,"Touche2020":0.23132} scoresByTaskType {"Retrieval":0.5145277333333333} trainedOnTasks ["FEVER","HotpotQA","MSMARCO","NQ"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/BEIR/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:29.416Z Evidence SHA-256 `aa692eb1a79edbe38d3f54eb90a444bff3d6c0f7b0d66e7893c86efe737c8e26` Source locator `/rows/105` |  |  |  |

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Cite as: Multilingual-E5-Large — Benchize, https://benchize.com/models/multilingual-e5-large (retrieved 2026-10-21)