# E5-Large-v2 > Source: Benchize (https://benchize.com) — https://benchize.com/models/e5-large-v2. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/e5-large-v2. Intfloat Canonical URL: https://benchize.com/models/e5-large-v2 Last updated: Wed, 21 Oct 2026 18:52:20 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. Intfloat ## Benchmarks | Benchmark | Score | Rank | | | --- | --- | --- | --- | | [RTEB(fra, beta) · RTEB French](https://benchize.com/benchmarks/mteb%3ARTEB(fra%2C%20beta).md) | 0.3source score | 8 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.2963572727272727 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 98 scoresByTask {"CUREv1":0.2963572727272727} 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/e5-large-v2 Observed 2026-10-21T16:40:40.473Z Evidence SHA-256 `ec979a256821300f551b7822b61d94415dd4bf631591e9b647f2b6ae5b4b60f4` Source locator `/rows/97` | | | | | [FollowIR · Instruction Following](https://benchize.com/benchmarks/mteb%3AFollowIR.md) | -0.00994source score | 5 / 16 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| -0.009935666666666667 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| -0.009935666666666667 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 78 scoresByTask {"Core17InstructionRetrieval":0.001202,"News21InstructionRetrieval":0.008256,"Robust04InstructionRetrieval":-0.039265} scoresByTaskType {"InstructionReranking":-0.009935666666666667} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/FollowIR/scores) Source MTEB Original model label intfloat/e5-large-v2 Observed 2026-10-21T16:40:36.107Z Evidence SHA-256 `9727e715325c0f35c67173e5a59d96566fb3dded3f9f1558f9a7ddf230445ddb` Source locator `/rows/77` | | | | | [MTEB(Europe, v1) · European](https://benchize.com/benchmarks/mteb%3AMTEB(Europe%2C%20v1).md) | 0.5source score | 1 / 5 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5036407772460525 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.44805410658551537 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 81 scoresByTask {"AlloProfClusteringS2S.v2":0.36430317719442706,"AlloprofReranking":0.6512298546739727,"AlloprofRetrieval":0.34131,"AmazonCounterfactualClassification":0.7116013976134502,"ArguAna":0.46427,"BUCC.v2":0.6734890289381906,"BelebeleRetrieval":0.5714753424657535,"BibleNLPBitextMining":0.30964364008740025,"BigPatentClustering.v2":0.330628917629176,"BiorxivClusteringP2P.v2":0.397176428189129,"BornholmBitextMining":0.4086200501253132,"BulgarianStoreReviewSentimentClassfication":0.3873626373626374,"CBD":0.5148,"CSFDSKMovieReviewSentimentClassification":0.224853515625,"CTKFactsNLI":0.7152161748013304,"Core17InstructionRetrieval":0.001202,"CzechProductReviewSentimentClassification":0.455419921875,"DBpediaClassification":0.894482421875,"DalajClassification":0.49988738738738736,"DiaBlaBitextMining":0.39953428281580033,"EstonianValenceClassification":0.29877750611246945,"FinParaSTS":0.1598819811188566,"FinancialPhrasebankClassification":0.8310512367491165,"FloresBitextMining":0.4744412613787816,"GreekLegalCodeClassification":0.088818359375,"HALClusteringS2S.v2":0.2493391144392299,"HagridRetrieval":0.9897,"ItaCaseholdClassification":0.6402714932126696,"LEMBPasskeyRetrieval":0.385,"LegalBenchCorporateLobbying":0.91495,"LegalQuAD":0.27182,"MalteseNewsClassification":0.2028297779712669,"MassiveScenarioClassification":0.5320270555555555,"MultiEURLEXMultilabelClassification":0.03031478260869565,"MultiHateClassification":0.5682375,"NTREXBitextMining":0.5778737517784398,"News21InstructionRetrieval":0.008256,"NorwegianCourtsBitextMining":0.9247076023391813,"OpusparcusPC":0.9029954137938416,"PSC":0.966375,"PoemSentimentClassification":0.5081089743589744,"PolEmo2.0-OUT":0.23279352226720648,"RTE3":0.8659173340350785,"Robust04InstructionRetrieval":-0.039265,"RomaniBibleClustering":0.3836363806178126,"SCIDOCS":0.20498,"SIB200ClusteringS2S":0.1588321195465688,"SICK-R":0.7915895517070431,"SICK-R-PL":0.606974,"STS12":0.7355323398454772,"STS14":0.7915977416467089,"STS15":0.8829499706388189,"STS17":0.5969563012772838,"STSBenchmark":0.845488080918384,"STSES":0.7983558551679866,"ScalaClassification":0.50145263671875,"SpartQA":0.10366,"SprintDuplicateQuestions":0.9483551821336549,"StackOverflowQA":0.89929,"StatcanDialogueDatasetRetrieval":0.169745,"SwissJudgementClassification":0.5472491084256978,"TempReasonL1":0.01766,"ToxicChatClassification":0.773797,"ToxicConversationsClassification":0.63291015625,"TweetSentimentClassification":0.46256516666666664,"TwitterHjerneRetrieval":0.08533,"WebLINXCandidatesReranking":0.08227833440735166,"WikiCitiesClustering":0.7794842077596872,"WikiClusteringP2P.v2":0.22823755276067975,"WikipediaRerankingMultilingual":0.837788504088504,"WikipediaRetrievalMultilingual":0.7873899999999999,"WinoGrande":0.51524,"XNLI":0.6947227026314278} scoresByTaskType {"BitextMining":0.5383299453518725,"Classification":0.5153233498715291,"Clustering":0.3614547372670888,"InstructionReranking":-0.009935666666666667,"MultilabelClassification":0.11657228028998128,"PairClassification":0.8489303012325555,"Reranking":0.5237655643899428,"Retrieval":0.4481213561643836,"STS":0.689925091368951} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Europe%2C%20v1)/scores) Source MTEB Original model label intfloat/e5-large-v2 Observed 2026-10-21T16:40:33.579Z Evidence SHA-256 `7984c254f09d846a5f5a5da2de12c531bacebd43e5fa1a03abc745b501549414` Source locator `/rows/80` | | | | | [MTEB(fra, v1) · French](https://benchize.com/benchmarks/mteb%3AMTEB(fra%2C%20v1).md) | 0.52source score | 1 / 7 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5190197886117182 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5331756761261679 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 59 scoresByTask {"AlloProfClusteringP2P":0.587541,"AlloProfClusteringS2S":0.349175,"AlloprofReranking":0.6512298546739727,"AlloprofRetrieval":0.34131,"AmazonReviewsClassification":0.37439999999999996,"BSARDRetrieval":0.44595,"HALClusteringS2S":0.233908,"MLSUMClusteringP2P":0.415667,"MLSUMClusteringS2S":0.4219695,"MTOPDomainClassification":0.829504,"MTOPIntentClassification":0.4534595,"MasakhaNEWSClassification":0.754739336492891,"MasakhaNEWSClusteringP2P":0.366986,"MasakhaNEWSClusteringS2S":0.45309116791799176,"MassiveIntentClassification":0.5071565140216686,"MassiveScenarioClassification":0.578057,"MintakaRetrieval":0.25453,"PawsXPairClassification":0.5600241755197637,"SICKFr":0.7137724999999999,"STS22":0.787462,"STSBenchmarkMultilingualSTS":0.7565685,"SummEvalFr":0.303915,"SyntecReranking":0.759222,"SyntecRetrieval":0.71137,"XPQARetrieval":0.3644866666666666} scoresByTaskType {"Classification":0.5828860584190932,"Clustering":0.40404823827399877,"PairClassification":0.5600241755197637,"Reranking":0.7052259273369863,"Retrieval":0.4235293333333333,"STS":0.752601,"Summarization":0.303915} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(fra%2C%20v1)/scores) Source MTEB Original model label intfloat/e5-large-v2 Observed 2026-10-21T16:40:33.844Z Evidence SHA-256 `e2ba55b8933730b983cec761c965ff540336068780c799c6af25183ac4e52267` Source locator `/rows/58` | | | | | [MTEB(nld, v1) · Dutch](https://benchize.com/benchmarks/mteb%3AMTEB(nld%2C%20v1).md) | 0.43source score | 5 / 11 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.43127241600936744 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5094493558561575 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 72 scoresByTask {"ArguAna-NL.v2":0.29637,"BelebeleRetrieval":0.76433,"CovidDisinformationNLMultiLabelClassification":0.4849,"DutchBookReviewSentimentClassification.v2":0.55713,"DutchColaClassification":0.536705,"DutchGovernmentBiasClassification":0.601354,"DutchNewsArticlesClassification":0.511155,"DutchNewsArticlesClusteringP2P":0.357897,"DutchNewsArticlesClusteringS2S":0.206108,"DutchNewsArticlesRetrieval":0.45891,"DutchSarcasticHeadlinesClassification":0.596455,"IconclassClassification":0.511507,"IconclassClusteringS2S":0.242191,"LegalQANLRetrieval":0.32065,"MassiveIntentClassification":0.4424738039563081,"MassiveScenarioClassification":0.546477,"MultiEURLEXMultilabelClassification":0.02622,"MultiHateClassification":0.5338999999999999,"NFCorpus-NL.v2":0.22777,"OpenTenderClassification":0.263547,"OpenTenderClusteringP2P":0.13385,"OpenTenderClusteringS2S":0.134323,"OpenTenderRetrieval":0.34119,"SCIDOCS-NL.v2":0.11059,"SIB200Classification":0.5734846666666668,"SIB200ClusteringS2S":0.19694020149775535,"SICK-NL-STS":0.592859,"SICKNLPairClassification":0.659292,"STSBenchmarkMultilingualSTS":0.701926,"SciFact-NL.v2":0.5161,"VABBClusteringP2P":0.312582,"VABBClusteringS2S":0.260078,"VABBMultiLabelClassification":0.436432,"VABBRetrieval":0.59865,"VaccinChatNLClassification":0.37344,"WebFAQRetrieval":0.52944,"WikipediaRerankingMultilingual":0.8243039682539682,"WikipediaRetrievalMultilingual":0.79711,"XLWICNLPairClassification":0.588096,"bBSARDNLRetrieval":0.08416} scoresByTaskType {"Classification":0.5039690392185813,"Clustering":0.23049615018721942,"MultilabelClassification":0.31585066666666667,"PairClassification":0.623694,"Reranking":0.8243039682539682,"Retrieval":0.4204391666666667,"STS":0.6473925} 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/e5-large-v2 Observed 2026-10-21T16:40:34.651Z Evidence SHA-256 `9a76f8c975d4a52e0646df4cf0d33d81638e502e09c4917d880ac698f501788a` Source locator `/rows/71` | | | | | [MTEB(deu, v1) · German](https://benchize.com/benchmarks/mteb%3AMTEB(deu%2C%20v1).md) | 0.46source score | 2 / 10 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4570787001467767 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4458933806231613 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 54 scoresByTask {"AmazonCounterfactualClassification":0.5789899458694433,"AmazonReviewsClassification":0.34681,"BlurbsClusteringP2P":0.311928,"BlurbsClusteringS2S":0.12395,"FalseFriendsGermanEnglish":0.479048,"GerDaLIR":0.02662,"GermanDPR":0.71683,"GermanQuAD-Retrieval":0.847142,"GermanSTSBenchmark":0.7332000953653802,"MIRACLReranking":0.34863,"MTOPDomainClassification":0.8190345,"MTOPIntentClassification":0.5314825,"MassiveIntentClassification":0.49284290709678996,"MassiveScenarioClassification":0.597874,"PawsXPairClassification":0.4966913544571445,"STS22":0.384461,"TenKGnadClusteringP2P":0.448537,"TenKGnadClusteringS2S":0.246054,"XMarket":0.15437} scoresByTaskType {"Classification":0.5611723088277055,"Clustering":0.28261725,"PairClassification":0.4878696772285722,"Reranking":0.34863,"Retrieval":0.4362405,"STS":0.5588305476826901} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(deu%2C%20v1)/scores) Source MTEB Original model label intfloat/e5-large-v2 Observed 2026-10-21T16:40:33.254Z Evidence SHA-256 `3049d3866e4630fda80cc24a54b97fabf1229366932e83607c39ce357fcc2e20` Source locator `/rows/53` | | | | | [ChemTEB · Chemical](https://benchize.com/benchmarks/mteb%3AChemTEB.md) | 0.69source score | 9 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.6924048580246913 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.502006191372549 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 26 scoresByTask {"ChemHotpotQARetrieval":0.8434233333333333,"ChemNQRetrieval":0.69439,"PubChemAISentenceParaphrasePC":0.95779,"PubChemSMILESBitextMining":0.002263,"PubChemSMILESPC":0.108279,"PubChemSynonymPC":0.642903,"PubChemWikiPairClassification":0.8654358333333333,"PubChemWikiParagraphsPC":0.205092,"SDSEyeProtectionClassification":0.7206,"SDSGlovesClassification":0.61215,"WikipediaBioMetChemClassification":0.990601,"WikipediaBiolumNeurochemClassification":0.953061,"WikipediaChemEngSpecialtiesClassification":0.369355,"WikipediaChemFieldsClassification":0.503793,"WikipediaChemistryTopicsClassification":0.859857,"WikipediaChemistryTopicsClustering":0.755299,"WikipediaCompChemSpectroscopyClassification":0.765611,"WikipediaCryobiologySeparationClassification":0.934335,"WikipediaCrystallographyAnalyticalClassification":0.945704,"WikipediaGreenhouseEnantiopureClassification":0.974561,"WikipediaIsotopesFissionClassification":0.897619,"WikipediaLuminescenceClassification":0.878049,"WikipediaOrganicInorganicClassification":0.884791,"WikipediaSaltsSemiconductorsClassification":0.879798,"WikipediaSolidStateColloidalClassification":0.800676,"WikipediaSpecialtiesInChemistryClustering":0.009366,"WikipediaTheoreticalAppliedClassification":0.640129} scoresByTaskType {"BitextMining":0.002263,"Classification":0.8006288235294118,"Clustering":0.3823325,"PairClassification":0.5558999666666666,"Retrieval":0.7689066666666666} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/ChemTEB/scores) Source MTEB Original model label intfloat/e5-large-v2 Observed 2026-10-21T16:40:30.425Z Evidence SHA-256 `a686e5d3d53f427eaafcd06cf50605dd45e3b4e0a7aaae31f5e8c757b4adbbed` Source locator `/rows/25` | | | | | [MTEB(Indic, v1) · Indic](https://benchize.com/benchmarks/mteb%3AMTEB(Indic%2C%20v1).md) | 0.37source score | 1 / 7 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.3681639486001938 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.28370485233000664 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 87 scoresByTask {"BelebeleRetrieval":0.14953807692307694,"BengaliSentimentAnalysis":0.583194,"GujaratiNewsClassification":0.4393778452200303,"HindiDiscourseClassification":0.326465,"IN22ConvBitextMining":0.04241281842105263,"IN22GenBitextMining":0.10929605515220192,"IndicCrosslingualSTS":0.030581112879233523,"MTOPIntentClassification":0.1906045,"MalayalamNewsClassification":0.397937,"MultiHateClassification":0.5451,"NepaliNewsClassification":0.577197265625,"PunjabiNewsClassification":0.5847133757961782,"SIB200ClusteringS2S":0.03953791962225886,"SanskritShlokasClassification":0.673958,"SentimentAnalysisHindi":0.40646204657224294,"TweetSentimentClassification":0.354688,"UrduRomanSentimentClassification":0.415121,"WikipediaRerankingMultilingual":0.5460223544973546,"XNLI":0.571462601295246,"XQuADRetrieval":0.37961} scoresByTaskType {"BitextMining":0.07585443678662727,"Classification":0.4579015027677877,"Clustering":0.03953791962225886,"PairClassification":0.571462601295246,"Reranking":0.5460223544973546,"Retrieval":0.2645740384615385,"STS":0.030581112879233523} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Indic%2C%20v1)/scores) Source MTEB Original model label intfloat/e5-large-v2 Observed 2026-10-21T16:40:34.101Z Evidence SHA-256 `0767a94ce377515114ccf374642f58eb931f56029d0f3fd71a89ba1b78d6dfc9` Source locator `/rows/87` | | | | | [MTEB(Law, v1) · Legal](https://benchize.com/benchmarks/mteb%3AMTEB(Law%2C%20v1).md) | 0.42source score | 4 / 12 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.41725 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.41725 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 81 scoresByTask {"AILACasedocs":0.31226,"AILAStatutes":0.17633,"GerDaLIRSmall":0.06465,"LeCaRDv2":0.2294,"LegalBenchConsumerContractsQA":0.77324,"LegalBenchCorporateLobbying":0.91495,"LegalQuAD":0.27182,"LegalSummarization":0.59535} scoresByTaskType {"Retrieval":0.41725} 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/e5-large-v2 Observed 2026-10-21T16:40:35.593Z Evidence SHA-256 `366cc22709240d33f3a878edf79ca05670c259d3ada02601cd525a1dfb8143c1` Source locator `/rows/80` | | | | | [MTEB(Medical, v1) · Medical](https://benchize.com/benchmarks/mteb%3AMTEB(Medical%2C%20v1).md) | 0.41source score | 4 / 8 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4124504384014651 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.3413990541317742 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 68 scoresByTask {"CMedQAv2-reranking":0.231346,"CUREv1":0.36773606060606057,"CmedqaRetrieval":0.03266,"MedicalQARetrieval":0.69902,"MedrxivClusteringP2P.v2":0.35215934606100385,"MedrxivClusteringS2S.v2":0.3385838541505167,"NFCorpus":0.37134,"PublicHealthQA":0.50533,"SciFact":0.72242,"SciFact-PL":0.39679,"TRECCOVID":0.66636,"TRECCOVID-PL":0.26566} scoresByTaskType {"Clustering":0.3453716001057603,"Reranking":0.231346,"Retrieval":0.44747956228956226} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Medical%2C%20v1)/scores) Source MTEB Original model label intfloat/e5-large-v2 Observed 2026-10-21T16:40:35.852Z Evidence SHA-256 `6d1534f25189a9c84e353ced1f8d3958b2563d7c00e9719485eea3dbb0d1f13d` Source locator `/rows/67` | | | | | [RTEB(deu, beta) · RTEB German](https://benchize.com/benchmarks/mteb%3ARTEB(deu%2C%20beta).md) | 0.27source score | 7 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.27182 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 113 scoresByTask {"LegalQuAD":0.27182} 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/e5-large-v2 Observed 2026-10-21T16:40:40.727Z Evidence SHA-256 `70250aaee4788084a090cdccd91621a3c80bbf5076195bc3f215bcb392e7637d` Source locator `/rows/112` | | | | | [BEIR](https://benchize.com/benchmarks/mteb%3ABEIR.md) | 0.51source score | 10 / 15 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5055580666666667 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5055580666666667 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 86 ### Reported statistics experiments Not reported rank 114 scoresByTask {"ArguAna":0.46427,"CQADupstackRetrieval":0.376641,"ClimateFEVER":0.22210000000000002,"DBPedia":0.44015,"FEVER":0.82829,"FiQA2018":0.41144,"HotpotQA":0.7313199999999999,"MSMARCO":0.43456000000000006,"NFCorpus":0.37134,"NQ":0.63444,"QuoraRetrieval":0.86839,"SCIDOCS":0.20498,"SciFact":0.72242,"TRECCOVID":0.66636,"Touche2020":0.20667} scoresByTaskType {"Retrieval":0.5055580666666667} trainedOnTasks ["MSMARCO","NQ"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/BEIR/scores) Source MTEB Original model label intfloat/e5-large-v2 Observed 2026-10-21T16:40:29.416Z Evidence SHA-256 `aa692eb1a79edbe38d3f54eb90a444bff3d6c0f7b0d66e7893c86efe737c8e26` Source locator `/rows/113` | | | | | [RTEB(Law, beta) · RTEB Legal](https://benchize.com/benchmarks/mteb%3ARTEB(Law%2C%20beta).md) | 0.34source score | 9 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.33894 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 131 scoresByTask {"AILACasedocs":0.31226,"AILAStatutes":0.17633,"LegalQuAD":0.27182,"LegalSummarization":0.59535} 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/e5-large-v2 Observed 2026-10-21T16:40:41.494Z Evidence SHA-256 `7204bf17f439a2d3c2052309544ff33f53928c057dd204e20b275f942e4f5516` Source locator `/rows/130` | | | | | [LongEmbed · Long-context Retrieval](https://benchize.com/benchmarks/mteb%3ALongEmbed.md) | 0.43source score | 4 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.42876 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.42876 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 56 scoresByTask {"LEMBNarrativeQARetrieval":0.26376,"LEMBNeedleRetrieval":0.315,"LEMBPasskeyRetrieval":0.385,"LEMBQMSumRetrieval":0.25083,"LEMBSummScreenFDRetrieval":0.77364,"LEMBWikimQARetrieval":0.58433} scoresByTaskType {"Retrieval":0.42876} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/LongEmbed/scores) Source MTEB Original model label intfloat/e5-large-v2 Observed 2026-10-21T16:40:31.460Z Evidence SHA-256 `f15d7a6a931cf287269b9fe1060d2ae3f8cd2d1cc004a12b65bfc447716cc008` Source locator `/rows/55` | | | | | [MTEB(rus, v1.1) · Russian](https://benchize.com/benchmarks/mteb%3AMTEB(rus%2C%20v1.1).md) | 0.34source score | 4 / 8 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.3425063628023342 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.3405963024801973 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 86 scoresByTask {"CEDRClassification":0.3554729011689692,"GeoreviewClassification":0.320947,"GeoreviewClusteringP2P":0.276006,"HeadlineClassification":0.443848,"InappropriatenessClassification":0.537061,"KinopoiskClassification":0.372733,"MIRACLReranking":0.21609,"MIRACLRetrievalHardNegatives.v2":0.1066,"MassiveIntentClassification":0.40161782505273613,"MassiveScenarioClassification":0.4505905,"RUParaPhraserSTS":0.548945,"RiaNewsRetrievalHardNegatives.v2":0.22248,"RuBQReranking":0.47835819736633195,"RuBQRetrieval":0.21286,"RuReviewsClassification":0.479883,"RuSTSBenchmarkSTS":0.637907,"RuSciBenchGRNTIClassification":0.243311,"RuSciBenchGRNTIClusteringP2P":0.203602,"RuSciBenchOECDClassification":0.184473,"RuSciBenchOECDClusteringP2P":0.179983,"STS22":0.343741,"SensitiveTopicsClassification":0.188477,"TERRa":0.4726599208656485} scoresByTaskType {"Classification":0.38160714722808176,"Clustering":0.21986366666666668,"MultilabelClassification":0.2719749505844846,"PairClassification":0.4726599208656485,"Reranking":0.34722409868316595,"Retrieval":0.1806466666666667,"STS":0.5101976666666667} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(rus%2C%20v1.1)/scores) Source MTEB Original model label intfloat/e5-large-v2 Observed 2026-10-21T16:40:39.422Z Evidence SHA-256 `ac823b2b6938144aafb5350443bcb7c1f622d0aa834bf0b375d59b7ee34ed05e` Source locator `/rows/85` | | | | --- Cite as: E5-Large-v2 — Benchize, https://benchize.com/models/e5-large-v2 (retrieved 2026-10-21)