# BGE Large EN V1.5 > Source: Benchize (https://benchize.com) — https://benchize.com/models/bge-large-en-v1-5. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/bge-large-en-v1-5. BAAI Canonical URL: https://benchize.com/models/bge-large-en-v1-5 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. BAAI ## Benchmarks | Benchmark | Score | Rank | | | --- | --- | --- | --- | | [RTEB(Health, beta) · RTEB Healthcare](https://benchize.com/benchmarks/mteb%3ARTEB(Health%2C%20beta).md) | 0.46source score | 8 / 14 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.46060636363636365 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 62 scoresByTask {"CUREv1":0.33048272727272726,"ChatDoctorRetrieval":0.59073,"EnglishHealthcare1Retrieval":0.51401,"GermanHealthcare1Retrieval":0.37351} 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 BAAI/bge-large-en-v1.5 Observed 2026-10-21T16:40:40.988Z Evidence SHA-256 `bf62d4318f836a1a4f92c7d21e3acad553ff4cffb3162ea312270b15ce1b4e32` Source locator `/rows/61` | | | | | [MTEB(deu, v1) · German](https://benchize.com/benchmarks/mteb%3AMTEB(deu%2C%20v1).md) | 0.43source score | 4 / 10 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.42971089474555224 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4221368767227986 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 94 ### Reported statistics experiments Not reported rank 69 scoresByTask {"AmazonCounterfactualClassification":0.555737701151538,"AmazonReviewsClassification":0.27731,"BlurbsClusteringP2P":0.290518,"BlurbsClusteringS2S":0.123002,"FalseFriendsGermanEnglish":0.4777,"GerDaLIR":0.01608,"GermanDPR":0.6845,"GermanQuAD-Retrieval":0.798223,"GermanSTSBenchmark":0.6719234776654263,"MIRACLReranking":0.30904,"MTOPDomainClassification":0.757369,"MTOPIntentClassification":0.4424905,"MassiveIntentClassification":0.4290362680863269,"MassiveScenarioClassification":0.5877215,"PawsXPairClassification":0.503915553262202,"STS22":0.402674,"TenKGnadClusteringP2P":0.44524,"TenKGnadClusteringS2S":0.246796,"XMarket":0.14523} scoresByTaskType {"Classification":0.5082774948729775,"Clustering":0.276389,"PairClassification":0.49080777663110103,"Reranking":0.30904,"Retrieval":0.41100825,"STS":0.5372987388327131} trainedOnTasks ["AmazonReviewsClassification"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(deu%2C%20v1)/scores) Source MTEB Original model label BAAI/bge-large-en-v1.5 Observed 2026-10-21T16:40:33.254Z Evidence SHA-256 `3049d3866e4630fda80cc24a54b97fabf1229366932e83607c39ce357fcc2e20` Source locator `/rows/68` | | | | | [LongEmbed · Long-context Retrieval](https://benchize.com/benchmarks/mteb%3ALongEmbed.md) | 0.4source score | 7 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.40059500000000003 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.40059500000000003 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 80 scoresByTask {"LEMBNarrativeQARetrieval":0.2792,"LEMBNeedleRetrieval":0.2725,"LEMBPasskeyRetrieval":0.3675,"LEMBQMSumRetrieval":0.23287,"LEMBSummScreenFDRetrieval":0.68726,"LEMBWikimQARetrieval":0.56424} scoresByTaskType {"Retrieval":0.40059500000000003} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/LongEmbed/scores) Source MTEB Original model label BAAI/bge-large-en-v1.5 Observed 2026-10-21T16:40:31.460Z Evidence SHA-256 `f15d7a6a931cf287269b9fe1060d2ae3f8cd2d1cc004a12b65bfc447716cc008` Source locator `/rows/79` | | | | | [MTEB(fra, v1) · French](https://benchize.com/benchmarks/mteb%3AMTEB(fra%2C%20v1).md) | 0.51source score | 2 / 7 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5148988433400877 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5256277838390261 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 96 ### Reported statistics experiments Not reported rank 64 scoresByTask {"AlloProfClusteringP2P":0.603086,"AlloProfClusteringS2S":0.411459,"AlloprofReranking":0.6741453775649174,"AlloprofRetrieval":0.38742,"AmazonReviewsClassification":0.31220000000000003,"BSARDRetrieval":0.42793,"HALClusteringS2S":0.253623,"MLSUMClusteringP2P":0.4152675,"MLSUMClusteringS2S":0.41697649999999997,"MTOPDomainClassification":0.8046915,"MTOPIntentClassification":0.42177699999999996,"MasakhaNEWSClassification":0.7696682464454977,"MasakhaNEWSClusteringP2P":0.467083,"MasakhaNEWSClusteringS2S":0.4891940076549746,"MassiveIntentClassification":0.47717086366810435,"MassiveScenarioClassification":0.5728774999999999,"MintakaRetrieval":0.20442,"PawsXPairClassification":0.5500204215020319,"SICKFr":0.6928225,"STS22":0.794262,"STSBenchmarkMultilingualSTS":0.727131,"SummEvalFr":0.295038,"SyntecReranking":0.726651,"SyntecRetrieval":0.62295,"XPQARetrieval":0.3546066666666667} scoresByTaskType {"Classification":0.5597308516856003,"Clustering":0.43666985823642496,"PairClassification":0.5500204215020319,"Reranking":0.7003981887824587,"Retrieval":0.39946533333333334,"STS":0.7380718333333333,"Summarization":0.295038} trainedOnTasks ["AmazonReviewsClassification"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(fra%2C%20v1)/scores) Source MTEB Original model label BAAI/bge-large-en-v1.5 Observed 2026-10-21T16:40:33.844Z Evidence SHA-256 `e2ba55b8933730b983cec761c965ff540336068780c799c6af25183ac4e52267` Source locator `/rows/63` | | | | | [MTEB(Indic, v1) · Indic](https://benchize.com/benchmarks/mteb%3AMTEB(Indic%2C%20v1).md) | 0.32source score | 6 / 7 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.3178891779305547 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.2289961599289289 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 142 scoresByTask {"BelebeleRetrieval":0.1249123076923077,"BengaliSentimentAnalysis":0.515096,"GujaratiNewsClassification":0.4137329286798179,"HindiDiscourseClassification":0.277979,"IN22ConvBitextMining":0.018527510526315787,"IN22GenBitextMining":0.04927492932477014,"IndicCrosslingualSTS":0.038852702700658895,"MTOPIntentClassification":0.134042,"MalayalamNewsClassification":0.398175,"MultiHateClassification":0.5431,"NepaliNewsClassification":0.390625,"PunjabiNewsClassification":0.594904458598726,"SIB200ClusteringS2S":0.02902298905907191,"SanskritShlokasClassification":0.586458,"SentimentAnalysisHindi":0.36129668399806836,"TweetSentimentClassification":0.368359,"UrduRomanSentimentClassification":0.414088,"WikipediaRerankingMultilingual":0.4171601851851852,"XNLI":0.5280068628461718,"XQuADRetrieval":0.15417} scoresByTaskType {"BitextMining":0.033901219925542965,"Classification":0.41648800593971763,"Clustering":0.02902298905907191,"PairClassification":0.5280068628461718,"Reranking":0.4171601851851852,"Retrieval":0.13954115384615384,"STS":0.038852702700658895} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Indic%2C%20v1)/scores) Source MTEB Original model label BAAI/bge-large-en-v1.5 Observed 2026-10-21T16:40:34.101Z Evidence SHA-256 `0767a94ce377515114ccf374642f58eb931f56029d0f3fd71a89ba1b78d6dfc9` Source locator `/rows/141` | | | | | [RTEB(Law, beta) · RTEB Legal](https://benchize.com/benchmarks/mteb%3ARTEB(Law%2C%20beta).md) | 0.32source score | 13 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.316795 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 126 scoresByTask {"AILACasedocs":0.25978,"AILAStatutes":0.23063,"FrenchLegal1Retrieval":0.3366,"GermanLegal1Retrieval":0.39161,"JapaneseLegal1Retrieval":0.36948,"LegalQuAD":0.16557,"LegalSummarization":0.6112} 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 BAAI/bge-large-en-v1.5 Observed 2026-10-21T16:40:41.494Z Evidence SHA-256 `7204bf17f439a2d3c2052309544ff33f53928c057dd204e20b275f942e4f5516` Source locator `/rows/125` | | | | | [RTEB(deu, beta) · RTEB German](https://benchize.com/benchmarks/mteb%3ARTEB(deu%2C%20beta).md) | 0.17source score | 11 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.16557 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 144 scoresByTask {"German1Retrieval":0.73326,"GermanHealthcare1Retrieval":0.37351,"GermanLegal1Retrieval":0.39161,"LegalQuAD":0.16557} 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 BAAI/bge-large-en-v1.5 Observed 2026-10-21T16:40:40.727Z Evidence SHA-256 `70250aaee4788084a090cdccd91621a3c80bbf5076195bc3f215bcb392e7637d` Source locator `/rows/143` | | | | | [MTEB(nld, v1) · Dutch](https://benchize.com/benchmarks/mteb%3AMTEB(nld%2C%20v1).md) | 0.43source score | 6 / 11 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.42779387632521065 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5009387299991296 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 74 scoresByTask {"ArguAna-NL.v2":0.38427,"BelebeleRetrieval":0.72456,"CovidDisinformationNLMultiLabelClassification":0.476194,"DutchBookReviewSentimentClassification.v2":0.529555,"DutchColaClassification":0.541239,"DutchGovernmentBiasClassification":0.57578,"DutchNewsArticlesClassification":0.491045,"DutchNewsArticlesClusteringP2P":0.336321,"DutchNewsArticlesClusteringS2S":0.187619,"DutchNewsArticlesRetrieval":0.43342,"DutchSarcasticHeadlinesClassification":0.562548,"IconclassClassification":0.465575,"IconclassClusteringS2S":0.226102,"LegalQANLRetrieval":0.4255,"MassiveIntentClassification":0.4065381858381758,"MassiveScenarioClassification":0.5164635,"MultiEURLEXMultilabelClassification":0.0298,"MultiHateClassification":0.5586,"NFCorpus-NL.v2":0.23275,"OpenTenderClassification":0.283012,"OpenTenderClusteringP2P":0.207085,"OpenTenderClusteringS2S":0.182386,"OpenTenderRetrieval":0.36458,"SCIDOCS-NL.v2":0.1092,"SIB200Classification":0.5697986666666667,"SIB200ClusteringS2S":0.25156713701151806,"SICK-NL-STS":0.573061,"SICKNLPairClassification":0.613325,"STSBenchmarkMultilingualSTS":0.6867475000000001,"SciFact-NL.v2":0.55326,"VABBClusteringP2P":0.339281,"VABBClusteringS2S":0.271631,"VABBMultiLabelClassification":0.451,"VABBRetrieval":0.58825,"VaccinChatNLClassification":0.291401,"WebFAQRetrieval":0.46935,"WikipediaRerankingMultilingual":0.7958920634920635,"WikipediaRetrievalMultilingual":0.74987,"XLWICNLPairClassification":0.594928,"bBSARDNLRetrieval":0.06225} scoresByTaskType {"Classification":0.48262961270873683,"Clustering":0.25024901712643977,"MultilabelClassification":0.31899800000000006,"PairClassification":0.6041265,"Reranking":0.7958920634920635,"Retrieval":0.4247716666666667,"STS":0.62990425} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(nld%2C%20v1)/scores) Source MTEB Original model label BAAI/bge-large-en-v1.5 Observed 2026-10-21T16:40:34.651Z Evidence SHA-256 `9a76f8c975d4a52e0646df4cf0d33d81638e502e09c4917d880ac698f501788a` Source locator `/rows/73` | | | | | [ChemTEB · Chemical](https://benchize.com/benchmarks/mteb%3AChemTEB.md) | 0.71source score | 4 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.7089782438271605 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5069501209803923 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 11 scoresByTask {"ChemHotpotQARetrieval":0.8786200000000001,"ChemNQRetrieval":0.59904,"PubChemAISentenceParaphrasePC":0.963245,"PubChemSMILESBitextMining":0.00170475,"PubChemSMILESPC":0.111874,"PubChemSynonymPC":0.631272,"PubChemWikiPairClassification":0.8664748333333333,"PubChemWikiParagraphsPC":0.327063,"SDSEyeProtectionClassification":0.76275,"SDSGlovesClassification":0.70235,"WikipediaBioMetChemClassification":0.995909,"WikipediaBiolumNeurochemClassification":0.967347,"WikipediaChemEngSpecialtiesClassification":0.390323,"WikipediaChemFieldsClassification":0.538906,"WikipediaChemistryTopicsClassification":0.885748,"WikipediaChemistryTopicsClustering":0.733455,"WikipediaCompChemSpectroscopyClassification":0.761538,"WikipediaCryobiologySeparationClassification":0.949356,"WikipediaCrystallographyAnalyticalClassification":0.970103,"WikipediaGreenhouseEnantiopureClassification":0.983333,"WikipediaIsotopesFissionClassification":0.917857,"WikipediaLuminescenceClassification":0.904878,"WikipediaOrganicInorganicClassification":0.903802,"WikipediaSaltsSemiconductorsClassification":0.864646,"WikipediaSolidStateColloidalClassification":0.824324,"WikipediaSpecialtiesInChemistryClustering":0.050384,"WikipediaTheoreticalAppliedClassification":0.65611} scoresByTaskType {"BitextMining":0.00170475,"Classification":0.8223105882352941,"Clustering":0.3919195,"PairClassification":0.5799857666666667,"Retrieval":0.7388300000000001} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/ChemTEB/scores) Source MTEB Original model label BAAI/bge-large-en-v1.5 Observed 2026-10-21T16:40:30.425Z Evidence SHA-256 `a686e5d3d53f427eaafcd06cf50605dd45e3b4e0a7aaae31f5e8c757b4adbbed` Source locator `/rows/10` | | | | | [MTEB(Europe, v1) · European](https://benchize.com/benchmarks/mteb%3AMTEB(Europe%2C%20v1).md) | 0.48source score | 3 / 5 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4848989181007533 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.430860231797932 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 85 scoresByTask {"AlloProfClusteringS2S.v2":0.39228808942727406,"AlloprofReranking":0.6741453775649174,"AlloprofRetrieval":0.38742,"AmazonCounterfactualClassification":0.679071834106958,"ArguAna":0.64516,"BUCC.v2":0.4831342953154015,"BelebeleRetrieval":0.5101667123287671,"BibleNLPBitextMining":0.1699839621317961,"BigPatentClustering.v2":0.2684193778905645,"BiorxivClusteringP2P.v2":0.4205574653405882,"BornholmBitextMining":0.3408574314574314,"BulgarianStoreReviewSentimentClassfication":0.35439560439560436,"CBD":0.5128,"CSFDSKMovieReviewSentimentClassification":0.21552734375,"CTKFactsNLI":0.7112882000885975,"Core17InstructionRetrieval":-0.01927,"CzechProductReviewSentimentClassification":0.451123046875,"DBpediaClassification":0.8166015625,"DalajClassification":0.49898648648648647,"DiaBlaBitextMining":0.23913513941047662,"EstonianValenceClassification":0.2933985330073349,"FinParaSTS":0.08827194610588233,"FinancialPhrasebankClassification":0.8028710247349824,"FloresBitextMining":0.35637358745868397,"GreekLegalCodeClassification":0.05537109375,"HALClusteringS2S.v2":0.26196699206865165,"HagridRetrieval":0.98769,"ItaCaseholdClassification":0.7592760180995475,"LEMBPasskeyRetrieval":0.3675,"LegalBenchCorporateLobbying":0.90767,"LegalQuAD":0.16557,"MalteseNewsClassification":0.240096,"MassiveScenarioClassification":0.5036907500000001,"MultiEURLEXMultilabelClassification":0.031063478260869564,"MultiHateClassification":0.56745,"NTREXBitextMining":0.4339121913337241,"News21InstructionRetrieval":0.003309,"NorwegianCourtsBitextMining":0.9049707602339181,"OpusparcusPC":0.8900138559170758,"PSC":0.937976,"PoemSentimentClassification":0.5363827838827839,"PolEmo2.0-OUT":0.24129554655870447,"RTE3":0.8708430233267807,"Robust04InstructionRetrieval":-0.052603,"RomaniBibleClustering":0.37699370660327347,"SCIDOCS":0.2263,"SIB200ClusteringS2S":0.1963867189661873,"SICK-R":0.8168367384277421,"SICK-R-PL":0.527284,"STS12":0.7904889235593613,"STS14":0.8277810172031654,"STS15":0.8802952704872573,"STS17":0.5578559059587833,"STSBenchmark":0.875190636046235,"STSES":0.7743412903673891,"ScalaClassification":0.501025390625,"SpartQA":0.02993,"SprintDuplicateQuestions":0.9674942736590371,"StackOverflowQA":0.83072,"StatcanDialogueDatasetRetrieval":0.210055,"SwissJudgementClassification":0.5389150534944581,"TempReasonL1":0.01459,"ToxicChatClassification":0.778093,"ToxicConversationsClassification":0.66484375,"TweetSentimentClassification":0.44993483333333334,"TwitterHjerneRetrieval":0.14726,"WebLINXCandidatesReranking":0.08674756692956341,"WikiCitiesClustering":0.8122951122099706,"WikiClusteringP2P.v2":0.23715948875251316,"WikipediaRerankingMultilingual":0.7974523569023568,"WikipediaRetrievalMultilingual":0.71574,"WinoGrande":0.19183,"XNLI":0.6676294740205666} scoresByTaskType {"BitextMining":0.4183381953344902,"Classification":0.5110526827800097,"Clustering":0.3707583689073779,"InstructionReranking":-0.022854666666666662,"MultilabelClassification":0.13557973913043478,"PairClassification":0.8408741378353429,"Reranking":0.5194484337989459,"Retrieval":0.4225067808219178,"STS":0.682038414239535} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Europe%2C%20v1)/scores) Source MTEB Original model label BAAI/bge-large-en-v1.5 Observed 2026-10-21T16:40:33.579Z Evidence SHA-256 `7984c254f09d846a5f5a5da2de12c531bacebd43e5fa1a03abc745b501549414` Source locator `/rows/84` | | | | | [RTEB(fin, beta) · RTEB Finance](https://benchize.com/benchmarks/mteb%3ARTEB(fin%2C%20beta).md) | 0.58source score | 6 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5821833333333334 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 49 scoresByTask {"EnglishFinance1Retrieval":0.68399,"EnglishFinance2Retrieval":0.47875,"EnglishFinance3Retrieval":0.69125,"EnglishFinance4Retrieval":0.44377,"FinQARetrieval":0.45744,"FinanceBenchRetrieval":0.69215,"HC3FinanceRetrieval":0.59696} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(fin%2C%20beta)/scores) Source MTEB Original model label BAAI/bge-large-en-v1.5 Observed 2026-10-21T16:40:40.217Z Evidence SHA-256 `e372e75484a69b00e1a4f9619cc0d72b27ed359ea6b25f0c413f1c9551e05c7e` Source locator `/rows/48` | | | | | [MTEB(rus, v1.1) · Russian](https://benchize.com/benchmarks/mteb%3AMTEB(rus%2C%20v1.1).md) | 0.32source score | 5 / 8 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.3225534890152861 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.3328015894720617 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 96 scoresByTask {"CEDRClassification":0.3615302869287992,"GeoreviewClassification":0.286376953125,"GeoreviewClusteringP2P":0.21872509542751403,"HeadlineClassification":0.335595703125,"InappropriatenessClassification":0.518115234375,"KinopoiskClassification":0.3568,"MIRACLReranking":0.25964,"MIRACLRetrievalHardNegatives.v2":0.17327,"MassiveIntentClassification":0.3209864902279834,"MassiveScenarioClassification":0.37967799999999996,"RUParaPhraserSTS":0.49107601175437415,"RiaNewsRetrievalHardNegatives.v2":0.33746,"RuBQReranking":0.4766395487120344,"RuBQRetrieval":0.21052,"RuReviewsClassification":0.446240234375,"RuSTSBenchmarkSTS":0.603270996059513,"RuSciBenchGRNTIClassification":0.2205078125,"RuSciBenchGRNTIClusteringP2P":0.19005480904556968,"RuSciBenchOECDClassification":0.165283203125,"RuSciBenchOECDClusteringP2P":0.15984730532206398,"STS22":0.25185,"SensitiveTopicsClassification":0.179736328125,"TERRa":0.4755262351237274} scoresByTaskType {"Classification":0.3366204034281092,"Clustering":0.18954240326504923,"MultilabelClassification":0.2706333075268996,"PairClassification":0.4755262351237274,"Reranking":0.3681397743560172,"Retrieval":0.2404166666666667,"STS":0.4487323359379624} 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 BAAI/bge-large-en-v1.5 Observed 2026-10-21T16:40:39.422Z Evidence SHA-256 `ac823b2b6938144aafb5350443bcb7c1f622d0aa834bf0b375d59b7ee34ed05e` Source locator `/rows/95` | | | | | [BEIR](https://benchize.com/benchmarks/mteb%3ABEIR.md) | 0.54source score | 4 / 15 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5434306666666667 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5434306666666667 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 93 ### Reported statistics experiments Not reported rank 55 scoresByTask {"ArguAna":0.64516,"CQADupstackRetrieval":0.42229,"ClimateFEVER":0.36567,"DBPedia":0.44106,"FEVER":0.87182,"FiQA2018":0.45021,"HotpotQA":0.74101,"MSMARCO":0.42493,"NFCorpus":0.38061,"NQ":0.55029,"QuoraRetrieval":0.8906500000000002,"SCIDOCS":0.2263,"SciFact":0.74644,"TRECCOVID":0.74696,"Touche2020":0.24806} scoresByTaskType {"Retrieval":0.5434306666666667} trainedOnTasks ["NQ"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/BEIR/scores) Source MTEB Original model label BAAI/bge-large-en-v1.5 Observed 2026-10-21T16:40:29.416Z Evidence SHA-256 `aa692eb1a79edbe38d3f54eb90a444bff3d6c0f7b0d66e7893c86efe737c8e26` Source locator `/rows/54` | | | | | [MTEB(Law, v1) · Legal](https://benchize.com/benchmarks/mteb%3AMTEB(Law%2C%20v1).md) | 0.4source score | 8 / 12 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.395805 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.395805 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 95 scoresByTask {"AILACasedocs":0.25978,"AILAStatutes":0.23063,"GerDaLIRSmall":0.04161,"LeCaRDv2":0.21665,"LegalBenchConsumerContractsQA":0.73333,"LegalBenchCorporateLobbying":0.90767,"LegalQuAD":0.16557,"LegalSummarization":0.6112} scoresByTaskType {"Retrieval":0.395805} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Law%2C%20v1)/scores) Source MTEB Original model label BAAI/bge-large-en-v1.5 Observed 2026-10-21T16:40:35.593Z Evidence SHA-256 `366cc22709240d33f3a878edf79ca05670c259d3ada02601cd525a1dfb8143c1` Source locator `/rows/94` | | | | | [FollowIR · Instruction Following](https://benchize.com/benchmarks/mteb%3AFollowIR.md) | -0.02source score | 7 / 16 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| -0.022854666666666665 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| -0.022854666666666665 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 137 scoresByTask {"Core17InstructionRetrieval":-0.01927,"News21InstructionRetrieval":0.003309,"Robust04InstructionRetrieval":-0.052603} scoresByTaskType {"InstructionReranking":-0.022854666666666665} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/FollowIR/scores) Source MTEB Original model label BAAI/bge-large-en-v1.5 Observed 2026-10-21T16:40:36.107Z Evidence SHA-256 `9727e715325c0f35c67173e5a59d96566fb3dded3f9f1558f9a7ddf230445ddb` Source locator `/rows/136` | | | | | [BRIGHT · Reasoning Retrieval](https://benchize.com/benchmarks/mteb%3ABRIGHT.md) | 0.14source score | 3 / 3 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.13568916666666667 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.13568916666666667 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 18 scoresByTask {"BrightRetrieval":0.13568916666666667} scoresByTaskType {"Retrieval":0.13568916666666667} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/BRIGHT/scores) Source MTEB Original model label BAAI/bge-large-en-v1.5 Observed 2026-10-21T16:40:29.916Z Evidence SHA-256 `b3be287be0beea7d05659deef5cb416b5d9a3c0dd9ddf9fb452418cd80365341` Source locator `/rows/17` | | | | | [RTEB(fra, beta) · RTEB French](https://benchize.com/benchmarks/mteb%3ARTEB(fra%2C%20beta).md) | 0.26source score | 10 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.26433545454545454 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 114 scoresByTask {"CUREv1":0.26433545454545454,"French1Retrieval":0.79853,"FrenchLegal1Retrieval":0.3366} 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 BAAI/bge-large-en-v1.5 Observed 2026-10-21T16:40:40.473Z Evidence SHA-256 `ec979a256821300f551b7822b61d94415dd4bf631591e9b647f2b6ae5b4b60f4` Source locator `/rows/113` | | | | --- Cite as: BGE Large EN V1.5 — Benchize, https://benchize.com/models/bge-large-en-v1-5 (retrieved 2026-10-21)