# Bge m3 > Source: Benchize (https://benchize.com) — https://benchize.com/models/bge-m3. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/bge-m3. BAAI Canonical URL: https://benchize.com/models/bge-m3 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(fin, beta) · RTEB Finance](https://benchize.com/benchmarks/mteb%3ARTEB(fin%2C%20beta).md) | 0.58source score | 7 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5765600000000001 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 53 scoresByTask {"EnglishFinance1Retrieval":0.72033,"EnglishFinance2Retrieval":0.5808,"EnglishFinance3Retrieval":0.65895,"EnglishFinance4Retrieval":0.43065,"FinQARetrieval":0.55726,"FinanceBenchRetrieval":0.66529,"HC3FinanceRetrieval":0.50713} 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-m3 Observed 2026-10-21T16:40:40.217Z Evidence SHA-256 `e372e75484a69b00e1a4f9619cc0d72b27ed359ea6b25f0c413f1c9551e05c7e` Source locator `/rows/52` | | | | | [MTEB(nld, v1) · Dutch](https://benchize.com/benchmarks/mteb%3AMTEB(nld%2C%20v1).md) | 0.55source score | 3 / 11 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5484963312169312 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.6161793748110355 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 34 scoresByTask {"ArguAna-NL.v2":0.52133,"BelebeleRetrieval":0.93859,"CovidDisinformationNLMultiLabelClassification":0.50967,"DutchBookReviewSentimentClassification.v2":0.762393,"DutchColaClassification":0.561804,"DutchGovernmentBiasClassification":0.613564,"DutchNewsArticlesClassification":0.556393,"DutchNewsArticlesClusteringP2P":0.392754,"DutchNewsArticlesClusteringS2S":0.202686,"DutchNewsArticlesRetrieval":0.81668,"DutchSarcasticHeadlinesClassification":0.653367,"IconclassClassification":0.512774,"IconclassClusteringS2S":0.233193,"LegalQANLRetrieval":0.81231,"MassiveIntentClassification":0.6832735000000001,"MassiveScenarioClassification":0.738897,"MultiEURLEXMultilabelClassification":0.0353,"MultiHateClassification":0.5993,"NFCorpus-NL.v2":0.29044,"OpenTenderClassification":0.422283,"OpenTenderClusteringP2P":0.25858,"OpenTenderClusteringS2S":0.214797,"OpenTenderRetrieval":0.39043,"SCIDOCS-NL.v2":0.14841,"SIB200Classification":0.7160480000000001,"SIB200ClusteringS2S":0.342463,"SICK-NL-STS":0.763419,"SICKNLPairClassification":0.922429,"STSBenchmarkMultilingualSTS":0.8171685,"SciFact-NL.v2":0.62866,"VABBClusteringP2P":0.36406,"VABBClusteringS2S":0.287835,"VABBMultiLabelClassification":0.514981,"VABBRetrieval":0.74959,"VaccinChatNLClassification":0.524165,"WebFAQRetrieval":0.76738,"WikipediaRerankingMultilingual":0.8871272486772487,"WikipediaRetrievalMultilingual":0.90106,"XLWICNLPairClassification":0.643539,"bBSARDNLRetrieval":0.24071} scoresByTaskType {"Classification":0.6120217916666667,"Clustering":0.287046,"MultilabelClassification":0.35331699999999994,"PairClassification":0.782984,"Reranking":0.8871272486772487,"Retrieval":0.6004658333333334,"STS":0.79029375} 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-m3 Observed 2026-10-21T16:40:34.651Z Evidence SHA-256 `9a76f8c975d4a52e0646df4cf0d33d81638e502e09c4917d880ac698f501788a` Source locator `/rows/33` | | | | | [MTEB(rus, v1.1) · Russian](https://benchize.com/benchmarks/mteb%3AMTEB(rus%2C%20v1.1).md) | 0.62source score | 3 / 8 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.6162892872176834 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.6098089240158763 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 91 ### Reported statistics experiments Not reported rank 30 scoresByTask {"CEDRClassification":0.4346971307120085,"GeoreviewClassification":0.48271484375,"GeoreviewClusteringP2P":0.6309362350401001,"HeadlineClassification":0.70322265625,"InappropriatenessClassification":0.598681640625,"KinopoiskClassification":0.5823333333333334,"MIRACLReranking":0.65384,"MIRACLRetrievalHardNegatives.v2":0.70322,"MassiveIntentClassification":0.6859504999999999,"MassiveScenarioClassification":0.733839,"RUParaPhraserSTS":0.7490066815007971,"RiaNewsRetrievalHardNegatives.v2":0.84068,"RuBQReranking":0.7402919214478741,"RuBQRetrieval":0.71217,"RuReviewsClassification":0.669091796875,"RuSTSBenchmarkSTS":0.7986695688743493,"RuSciBenchGRNTIClassification":0.558056640625,"RuSciBenchGRNTIClusteringP2P":0.5083470670121341,"RuSciBenchOECDClassification":0.42568359375,"RuSciBenchOECDClusteringP2P":0.432082498945941,"STS22":0.6626491471661151,"SensitiveTopicsClassification":0.262451171875,"TERRa":0.6060381782240654} scoresByTaskType {"Classification":0.6043971116898148,"Clustering":0.523788600332725,"MultilabelClassification":0.3485741512935042,"PairClassification":0.6060381782240654,"Reranking":0.6970659607239371,"Retrieval":0.7520233333333333,"STS":0.7367751325137538} trainedOnTasks ["MIRACLReranking","MIRACLRetrievalHardNegatives.v2"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(rus%2C%20v1.1)/scores) Source MTEB Original model label BAAI/bge-m3 Observed 2026-10-21T16:40:39.422Z Evidence SHA-256 `ac823b2b6938144aafb5350443bcb7c1f622d0aa834bf0b375d59b7ee34ed05e` Source locator `/rows/29` | | | | | [MTEB(tha, v1) · Thai](https://benchize.com/benchmarks/mteb%3AMTEB(tha%2C%20v1).md) | 0.64source score | 1 / 3 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.6420824333333334 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.6176943821428571 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 80 ### Reported statistics experiments Not reported rank 12 scoresByTask {"BelebeleRetrieval":0.89969,"MIRACLReranking":0.68466,"MIRACLRetrievalHardNegatives.v2":0.82271,"MKQARetrieval":0.06032,"MTOPDomainClassification":0.8624099999999999,"MTOPIntentClassification":0.6527765,"MrTidyRetrieval":0.7977,"MultiLongDocReranking":0.58007,"MultiLongDocRetrieval":0.339785,"SIB200Classification":0.709886,"SIB200ClusteringS2S":0.362558,"WebFAQRetrieval":0.7537,"WisesightSentimentClassification.v2":0.365146,"XNLI":0.784705,"XQuADRetrieval":0.95512} scoresByTaskType {"Classification":0.6475546249999999,"Clustering":0.362558,"PairClassification":0.784705,"Reranking":0.6323650000000001,"Retrieval":0.6612892857142858} trainedOnTasks ["MIRACLReranking","MIRACLRetrievalHardNegatives.v2","MrTidyRetrieval"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(tha%2C%20v1)/scores) Source MTEB Original model label BAAI/bge-m3 Observed 2026-10-21T16:40:36.633Z Evidence SHA-256 `d535310e5a7c0161f952cd0de3eb7d757500e970721ae4cda0f047c1ea5baa9a` Source locator `/rows/11` | | | | | [MTEB(Scandinavian, v1) · Scandinavian](https://benchize.com/benchmarks/mteb%3AMTEB(Scandinavian%2C%20v1).md) | 0.58source score | 3 / 4 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5790196172821503 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5844518973130454 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 31 scoresByTask {"AngryTweetsClassification":0.574117,"BornholmBitextMining":0.4411047619047619,"DKHateClassification":0.686018,"DalajClassification":0.4986486486486486,"DanFeverRetrieval":0.40766,"DanishPoliticalCommentsClassification":0.411948,"LccSentimentClassification":0.604667,"MassiveIntentClassification":0.6792305000000001,"MassiveScenarioClassification":0.7405445,"NoRecClassification":0.574951,"NorQuadRetrieval":0.22528,"NordicLangClassification":0.3893,"NorwegianCourtsBitextMining":0.9444444444444445,"NorwegianParliamentClassification":0.584542,"SNLHierarchicalClusteringP2P":0.5631676011053827,"SNLHierarchicalClusteringS2S":0.538131,"SNLRetrieval":0.95317,"ScalaClassification":0.5042968750000001,"SweFaqRetrieval":0.76568,"SweRecClassification":0.811768,"SwedishSentimentClassification":0.9561280000000001,"SwednClusteringP2P":0.3542459527969732,"SwednClusteringS2S":0.121969,"SwednRetrieval":0.81039,"TV2Nordretrieval":0.94245,"TwitterHjerneRetrieval":0.37823,"VGHierarchicalClusteringP2P":0.409533,"VGHierarchicalClusteringS2S":0.340934} scoresByTaskType {"BitextMining":0.6927746031746032,"Classification":0.6166276556652808,"Clustering":0.38799675898372604,"Retrieval":0.6404085714285715} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Scandinavian%2C%20v1)/scores) Source MTEB Original model label BAAI/bge-m3 Observed 2026-10-21T16:40:37.645Z Evidence SHA-256 `e66dff65f750060ac5843730eed4679628b45a6418b618e16473d9cc9d24aa94` Source locator `/rows/30` | | | | | [BEIR-NL](https://benchize.com/benchmarks/mteb%3ABEIR-NL.md) | 0.45source score | 2 / 2 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.44652806666666667 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.44652806666666667 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 80 ### Reported statistics experiments Not reported rank 6 scoresByTask {"ArguAna-NL":0.52133,"CQADupstack-NL":0.326431,"ClimateFEVER-NL":0.26457,"DBPedia-NL":0.35473,"FEVER-NL":0.76099,"FiQA2018-NL":0.33133,"HotpotQA-NL":0.65538,"NFCorpus-NL":0.29044,"NQ-NL":0.54971,"Quora-NL":0.83764,"SCIDOCS-NL":0.14841,"SciFact-NL":0.62866,"TRECCOVID-NL":0.48393,"Touche2020-NL":0.22519,"mMARCO-NL":0.31918} scoresByTaskType {"Retrieval":0.44652806666666667} trainedOnTasks ["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 BAAI/bge-m3 Observed 2026-10-21T16:40:29.665Z Evidence SHA-256 `1f3c03a4598d75810f3de7781dd4b0924865cdf62650433fb54b007ba04cd8a8` Source locator `/rows/5` | | | | | [FollowIR · Instruction Following](https://benchize.com/benchmarks/mteb%3AFollowIR.md) | -0.03source score | 14 / 16 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| -0.031102328698400197 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| -0.031102328698400197 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 182 scoresByTask {"Core17InstructionRetrieval":-0.012533158568791294,"News21InstructionRetrieval":-0.013922666099468859,"Robust04InstructionRetrieval":-0.06685116142694043} scoresByTaskType {"InstructionReranking":-0.031102328698400197} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/FollowIR/scores) Source MTEB Original model label BAAI/bge-m3 Observed 2026-10-21T16:40:36.107Z Evidence SHA-256 `9727e715325c0f35c67173e5a59d96566fb3dded3f9f1558f9a7ddf230445ddb` Source locator `/rows/181` | | | | | [RTEB(deu, beta) · RTEB German](https://benchize.com/benchmarks/mteb%3ARTEB(deu%2C%20beta).md) | 0.5source score | 5 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.50356 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 68 scoresByTask {"German1Retrieval":0.92453,"GermanHealthcare1Retrieval":0.72479,"GermanLegal1Retrieval":0.60887,"LegalQuAD":0.50356} 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-m3 Observed 2026-10-21T16:40:40.727Z Evidence SHA-256 `70250aaee4788084a090cdccd91621a3c80bbf5076195bc3f215bcb392e7637d` Source locator `/rows/67` | | | | | [VN-MTEB (vie, v1) · Vietnamese](https://benchize.com/benchmarks/mteb%3AVN-MTEB%20(vie%2C%20v1).md) | 0.54source score | 1 / 4 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.53582129 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.6354457819444445 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 94 ### Reported statistics experiments Not reported rank 10 scoresByTask {"AmazonCounterfactualVNClassification":0.587768,"AmazonPolarityVNClassification":0.875419,"AmazonReviewsVNClassification":0.443341,"ArguAna-VN":0.50681,"AskUbuntuDupQuestions-VN":0.620736,"BIOSSES-VN":0.774982,"Banking77VNClassification":0.781034,"CQADupstackAndroid-VN":0.44039,"CQADupstackGis-VN":0.33126,"CQADupstackMathematica-VN":0.23635,"CQADupstackPhysics-VN":0.37989,"CQADupstackProgrammers-VN":0.34121,"CQADupstackStats-VN":0.30125,"CQADupstackTex-VN":0.26106,"CQADupstackUnix-VN":0.35668,"CQADupstackWebmasters-VN":0.34467,"CQADupstackWordpress-VN":0.28175,"ClimateFEVER-VN":0.21273,"DBPedia-VN":0.36702,"EmotionVNClassification":0.4669535,"FEVER-VN":0.70143,"FiQA2018-VN":0.34378,"HotpotQA-VN":0.63756,"ImdbVNClassification":0.82705,"MSMARCO-VN":0.36216,"MTOPDomainVNClassification":0.865646,"MTOPIntentVNClassification":0.570062,"MassiveIntentVNClassification":0.681783,"MassiveScenarioVNClassification":0.727517,"NFCorpus-VN":0.3096,"NQ-VN":0.54979,"Quora-VN":0.64574,"RedditClustering-VN":0.432496,"RedditClusteringP2P-VN":0.573808,"SCIDOCS-VN":0.15013,"SICK-R-VN":0.778834,"STSBenchmark-VN":0.811484,"SciDocsRR-VN":0.817383,"SciFact-VN":0.62312,"SprintDuplicateQuestions-VN":0.968874,"StackExchangeClustering-VN":0.584207,"StackExchangeClusteringP2P-VN":0.326202,"StackOverflowDupQuestions-VN":0.502881,"TRECCOVID-VN":0.66224,"Touche2020-VN":0.21527,"ToxicConversationsVNClassification":0.686865,"TweetSentimentExtractionVNClassification":0.577724,"TwentyNewsgroupsClustering-VN":0.378324,"TwitterSemEval2015-VN":0.709873,"TwitterURLCorpus-VN":0.857928} scoresByTaskType {"Classification":0.6742635416666666,"Clustering":0.45900739999999995,"PairClassification":0.8455583333333333,"Reranking":0.6469999999999999,"Retrieval":0.39841208333333333,"STS":0.7884333333333333} trainedOnTasks ["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 BAAI/bge-m3 Observed 2026-10-21T16:40:38.399Z Evidence SHA-256 `65e2e66d9e4b93fcd9e3a8adbe2a15d048cf7b4df821714b7966df0fd7692258` Source locator `/rows/9` | | | | | [RTEB(fra, beta) · RTEB French](https://benchize.com/benchmarks/mteb%3ARTEB(fra%2C%20beta).md) | 0.5source score | 5 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5008881818181817 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 44 scoresByTask {"CUREv1":0.5008881818181817,"French1Retrieval":0.82796,"FrenchLegal1Retrieval":0.63001} 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-m3 Observed 2026-10-21T16:40:40.473Z Evidence SHA-256 `ec979a256821300f551b7822b61d94415dd4bf631591e9b647f2b6ae5b4b60f4` Source locator `/rows/43` | | | | | [RTEB(Health, beta) · RTEB Healthcare](https://benchize.com/benchmarks/mteb%3ARTEB(Health%2C%20beta).md) | 0.55source score | 5 / 14 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5496119696969697 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 46 scoresByTask {"CUREv1":0.5194939393939394,"ChatDoctorRetrieval":0.57973,"EnglishHealthcare1Retrieval":0.55187,"GermanHealthcare1Retrieval":0.72479} 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-m3 Observed 2026-10-21T16:40:40.988Z Evidence SHA-256 `bf62d4318f836a1a4f92c7d21e3acad553ff4cffb3162ea312270b15ce1b4e32` Source locator `/rows/45` | | | | | [ChemTEB · Chemical](https://benchize.com/benchmarks/mteb%3AChemTEB.md) | 0.7source score | 8 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.695761824074074 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5026239805882353 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 38 scoresByTask {"ChemHotpotQARetrieval":0.8198433333333334,"ChemNQRetrieval":0.5896,"PubChemAISentenceParaphrasePC":0.969501,"PubChemSMILESBitextMining":0.00072375,"PubChemSMILESPC":0.093988,"PubChemSynonymPC":0.607477,"PubChemWikiPairClassification":0.9221951666666667,"PubChemWikiParagraphsPC":0.176727,"SDSEyeProtectionClassification":0.7575,"SDSGlovesClassification":0.64415,"WikipediaBioMetChemClassification":0.982245,"WikipediaBiolumNeurochemClassification":0.967347,"WikipediaChemEngSpecialtiesClassification":0.684677,"WikipediaChemFieldsClassification":0.470718,"WikipediaChemistryTopicsClassification":0.818527,"WikipediaChemistryTopicsClustering":0.722788,"WikipediaCompChemSpectroscopyClassification":0.757466,"WikipediaCryobiologySeparationClassification":0.9103,"WikipediaCrystallographyAnalyticalClassification":0.896564,"WikipediaGreenhouseEnantiopureClassification":0.972368,"WikipediaIsotopesFissionClassification":0.897619,"WikipediaLuminescenceClassification":0.886585,"WikipediaOrganicInorganicClassification":0.84943,"WikipediaSaltsSemiconductorsClassification":0.868687,"WikipediaSolidStateColloidalClassification":0.739865,"WikipediaSpecialtiesInChemistryClustering":0.171523,"WikipediaTheoreticalAppliedClassification":0.607155} scoresByTaskType {"BitextMining":0.00072375,"Classification":0.8065413529411765,"Clustering":0.4471555,"PairClassification":0.5539776333333334,"Retrieval":0.7047216666666667} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/ChemTEB/scores) Source MTEB Original model label BAAI/bge-m3 Observed 2026-10-21T16:40:30.425Z Evidence SHA-256 `a686e5d3d53f427eaafcd06cf50605dd45e3b4e0a7aaae31f5e8c757b4adbbed` Source locator `/rows/37` | | | | | [MTEB(fas, v2) · Persian](https://benchize.com/benchmarks/mteb%3AMTEB(fas%2C%20v2).md) | 0.66source score | 1 / 3 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.6556908377594628 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.6864206419376083 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 90 ### Reported statistics experiments Not reported rank 8 scoresByTask {"ArguAna-Fa.v2":0.54025,"BeytooteClustering":0.607116,"DeepSentiPers.v2":0.667762,"DigikalamagClassification":0.860329,"DigikalamagClustering":0.395619,"FEVER-FaHardNegatives":0.64209,"FarsTail":0.731393,"FarsiParaphraseDetection":0.955728,"Farsick":0.717459,"FiQA2018-Fa.v2":0.30225,"HamshahriClustring":0.694767,"HotpotQA-FaHardNegatives":0.57622,"MIRACLReranking":0.6092,"MIRACLRetrievalHardNegatives":0.61385,"MSMARCO-FaHardNegatives":0.68471,"MassiveIntentClassification":0.6953644999999999,"MassiveScenarioClassification":0.729133,"NLPTwitterAnalysisClassification.v2":0.772556,"NLPTwitterAnalysisClustering":0.809023,"NQ-FaHardNegatives":0.50208,"NeuCLIR2023RetrievalHardNegatives":0.59298,"ParsinluEntail":0.686506,"ParsinluQueryParaphPC":0.899788,"PerShopDomainClassification":0.664646,"PerShopIntentClassification":0.898804,"PersianFoodSentimentClassification":0.830786,"PersianTextEmotion.v2":0.598117,"PersianWebDocumentRetrieval":0.44091,"QuoraRetrieval-Fa.v2":0.8031,"SAMSumFa":0.978753,"SCIDOCS-Fa.v2":0.14994,"SIDClassification.v2":0.59625,"SIDClustring":0.380031,"SciFact-Fa.v2":0.58576,"StyleClassification":0.558594,"SynPerChatbotConvSAClassification":0.6102566666666668,"SynPerChatbotConvSAToneChatbotClassification":0.505537,"SynPerChatbotConvSAToneUserClassification":0.488459,"SynPerChatbotRAGFAQPC":0.644289,"SynPerChatbotRAGFAQRetrieval":0.32038,"SynPerChatbotRAGSumSRetrieval":0.532059,"SynPerChatbotSatisfactionLevelClassification":0.24717,"SynPerChatbotSumSRetrieval":0.321293,"SynPerQAPC":0.937589,"SynPerQARetrieval":0.86267,"SynPerSTS":0.875929,"SynPerTextKeywordsPC":0.970438,"SynPerTextToneClassification.v3":0.726264,"TRECCOVID-Fa.v2":0.73381,"WebFAQRetrieval":0.77262,"WikipediaRerankingMultilingual":0.8820753968253968,"WikipediaRetrievalMultilingual":0.89322} scoresByTaskType {"BitextMining":0.6107016666666666,"Classification":0.6531267604166666,"Clustering":0.5773111999999999,"PairClassification":0.8322472857142856,"Reranking":0.7456376984126984,"Retrieval":0.5892258823529412,"STS":0.796694} trainedOnTasks ["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 BAAI/bge-m3 Observed 2026-10-21T16:40:30.698Z Evidence SHA-256 `37f3202cf21bcdda5c3dcff6173d2b935419ec840adc6e6b32d669920b744d43` Source locator `/rows/7` | | | | | [MTEB(spa, v1) · Spanish](https://benchize.com/benchmarks/mteb%3AMTEB(spa%2C%20v1).md) | 0.65source score | 4 / 5 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.647601278773842 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.6632681346410666 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 87 ### Reported statistics experiments Not reported rank 16 scoresByTask {"MIRACLReranking":0.63971,"MIRACLRetrievalHardNegatives.v2":0.57274,"MLSUMClusteringP2P":0.45277449999999997,"MLSUMClusteringS2S":0.456199,"MintakaRetrieval":0.22341,"PawsXPairClassification":0.5675139376707932,"STS17":0.814534314580825,"STS22":0.69507,"STSBenchmarkMultilingualSTS":0.835791,"STSES":0.7750423747965199,"SpanishNewsClassification.v2":0.88252,"SpanishPassageRetrievalS2P":0.44017,"SpanishPassageRetrievalS2S":0.70373,"SpanishSentimentClassification.v2":0.953285,"XNLI":0.819357,"XPQARetrieval":0.5297733333333333} scoresByTaskType {"Classification":0.9179025000000001,"Clustering":0.45448675,"PairClassification":0.6934354688353965,"Reranking":0.63971,"Retrieval":0.49396466666666666,"STS":0.7801094223443362} 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 BAAI/bge-m3 Observed 2026-10-21T16:40:36.375Z Evidence SHA-256 `c8eba8bf2233665c86eba5e08e282beb5d4c20ed913f54f2b53d398a89d7ffcf` Source locator `/rows/15` | | | | | [RTEB(Law, beta) · RTEB Legal](https://benchize.com/benchmarks/mteb%3ARTEB(Law%2C%20beta).md) | 0.45source score | 5 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.44692750000000003 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 72 scoresByTask {"AILACasedocs":0.36127,"AILAStatutes":0.29042,"FrenchLegal1Retrieval":0.63001,"GermanLegal1Retrieval":0.60887,"JapaneseLegal1Retrieval":0.70381,"LegalQuAD":0.50356,"LegalSummarization":0.63246} 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-m3 Observed 2026-10-21T16:40:41.494Z Evidence SHA-256 `7204bf17f439a2d3c2052309544ff33f53928c057dd204e20b275f942e4f5516` Source locator `/rows/71` | | | | | [LongEmbed · Long-context Retrieval](https://benchize.com/benchmarks/mteb%3ALongEmbed.md) | 0.59source score | 1 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.59458 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.59458 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 37 scoresByTask {"LEMBNarrativeQARetrieval":0.48787,"LEMBNeedleRetrieval":0.395,"LEMBPasskeyRetrieval":0.59,"LEMBQMSumRetrieval":0.36114,"LEMBSummScreenFDRetrieval":0.93891,"LEMBWikimQARetrieval":0.79456} scoresByTaskType {"Retrieval":0.59458} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/LongEmbed/scores) Source MTEB Original model label BAAI/bge-m3 Observed 2026-10-21T16:40:31.460Z Evidence SHA-256 `f15d7a6a931cf287269b9fe1060d2ae3f8cd2d1cc004a12b65bfc447716cc008` Source locator `/rows/36` | | | | --- Cite as: Bge m3 — Benchize, https://benchize.com/models/bge-m3 (retrieved 2026-10-21)