# GTE-Base > Source: Benchize (https://benchize.com) — https://benchize.com/models/gte-base. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/gte-base. Thenlper Canonical URL: https://benchize.com/models/gte-base Last updated: Thu, 22 Oct 2026 04:30:12 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. Thenlper ## Benchmarks | Benchmark | Score | Rank | | | --- | --- | --- | --- | | [BEIR](https://benchize.com/benchmarks/mteb%3ABEIR.md) | 0.51source score | 8 / 15 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5113875333333333 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5113875333333333 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 93 scoresByTask {"ArguAna":0.57122,"CQADupstackRetrieval":0.429053,"ClimateFEVER":0.28103,"DBPedia":0.41185000000000005,"FEVER":0.8151899999999999,"FiQA2018":0.40758000000000005,"HotpotQA":0.6575,"MSMARCO":0.40209000000000006,"NFCorpus":0.37897,"NQ":0.52835,"QuoraRetrieval":0.88151,"SCIDOCS":0.23132000000000003,"SciFact":0.76178,"TRECCOVID":0.68783,"Touche2020":0.22554} scoresByTaskType {"Retrieval":0.5113875333333333} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/BEIR/scores) Source MTEB Original model label thenlper/gte-base Observed 2026-10-22T02:50:04.705Z Evidence SHA-256 `aa692eb1a79edbe38d3f54eb90a444bff3d6c0f7b0d66e7893c86efe737c8e26` Source locator `/rows/92` | | | | | [FollowIR · Instruction Following](https://benchize.com/benchmarks/mteb%3AFollowIR.md) | -0.02source score | 9 / 16 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| -0.02449933333333333 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| -0.02449933333333333 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 141 scoresByTask {"Core17InstructionRetrieval":-0.026231,"News21InstructionRetrieval":0.004136,"Robust04InstructionRetrieval":-0.051403} scoresByTaskType {"InstructionReranking":-0.02449933333333333} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/FollowIR/scores) Source MTEB Original model label thenlper/gte-base Observed 2026-10-22T02:50:10.899Z Evidence SHA-256 `9727e715325c0f35c67173e5a59d96566fb3dded3f9f1558f9a7ddf230445ddb` Source locator `/rows/140` | | | | | [MTEB(Indic, v1) · Indic](https://benchize.com/benchmarks/mteb%3AMTEB(Indic%2C%20v1).md) | 0.32source score | 4 / 7 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.31971398592249856 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.23670926050152857 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 156 scoresByTask {"BelebeleRetrieval":0.11598538461538463,"BengaliSentimentAnalysis":0.604312,"GujaratiNewsClassification":0.408574,"HindiDiscourseClassification":0.25625,"IN22ConvBitextMining":0.01127712894736842,"IN22GenBitextMining":0.03687627631578948,"IndicCrosslingualSTS":0.056757166666666664,"MTOPIntentClassification":0.102496,"MalayalamNewsClassification":0.392143,"MultiHateClassification":0.5348,"NepaliNewsClassification":0.396631,"PunjabiNewsClassification":0.609554,"SIB200ClusteringS2S":0.021378761904761907,"SanskritShlokasClassification":0.588542,"SentimentAnalysisHindi":0.343758,"TweetSentimentClassification":0.366797,"UrduRomanSentimentClassification":0.405969,"WikipediaRerankingMultilingual":0.4870235,"XNLI":0.5293455,"XQuADRetrieval":0.12581} scoresByTaskType {"BitextMining":0.024076702631578947,"Classification":0.4174855,"Clustering":0.021378761904761907,"PairClassification":0.5293455,"Reranking":0.4870235,"Retrieval":0.12089769230769232,"STS":0.056757166666666664} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Indic%2C%20v1)/scores) Source MTEB Original model label thenlper/gte-base Observed 2026-10-22T02:50:09.149Z Evidence SHA-256 `0767a94ce377515114ccf374642f58eb931f56029d0f3fd71a89ba1b78d6dfc9` Source locator `/rows/155` | | | | | [LongEmbed · Long-context Retrieval](https://benchize.com/benchmarks/mteb%3ALongEmbed.md) | 0.35source score | 9 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.34833166666666665 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.34833166666666665 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 111 scoresByTask {"LEMBNarrativeQARetrieval":0.28602,"LEMBNeedleRetrieval":0.245,"LEMBPasskeyRetrieval":0.31,"LEMBQMSumRetrieval":0.2178,"LEMBSummScreenFDRetrieval":0.55831,"LEMBWikimQARetrieval":0.47286} scoresByTaskType {"Retrieval":0.34833166666666665} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/LongEmbed/scores) Source MTEB Original model label thenlper/gte-base Observed 2026-10-22T02:50:06.647Z Evidence SHA-256 `f15d7a6a931cf287269b9fe1060d2ae3f8cd2d1cc004a12b65bfc447716cc008` Source locator `/rows/110` | | | | | [MTEB(deu, v1) · German](https://benchize.com/benchmarks/mteb%3AMTEB(deu%2C%20v1).md) | 0.41source score | 6 / 10 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4087007631578947 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.39600148611111113 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 77 scoresByTask {"AmazonCounterfactualClassification":0.5762594999999999,"AmazonReviewsClassification":0.2701,"BlurbsClusteringP2P":0.256075,"BlurbsClusteringS2S":0.117383,"FalseFriendsGermanEnglish":0.479152,"GerDaLIR":0.01468,"GermanDPR":0.63639,"GermanQuAD-Retrieval":0.758991,"GermanSTSBenchmark":0.690791,"MIRACLReranking":0.24342,"MTOPDomainClassification":0.707246,"MTOPIntentClassification":0.44691000000000003,"MassiveIntentClassification":0.4128385,"MassiveScenarioClassification":0.534618,"PawsXPairClassification":0.5099695,"STS22":0.311206,"TenKGnadClusteringP2P":0.414081,"TenKGnadClusteringS2S":0.230864,"XMarket":0.15434} scoresByTaskType {"Classification":0.4913286666666667,"Clustering":0.25460075,"PairClassification":0.49456075,"Reranking":0.24342,"Retrieval":0.39110025,"STS":0.5009985} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(deu%2C%20v1)/scores) Source MTEB Original model label thenlper/gte-base Observed 2026-10-22T02:50:08.401Z Evidence SHA-256 `3049d3866e4630fda80cc24a54b97fabf1229366932e83607c39ce357fcc2e20` Source locator `/rows/76` | | | | | [MTEB(Medical, v1) · Medical](https://benchize.com/benchmarks/mteb%3AMTEB(Medical%2C%20v1).md) | 0.4source score | 5 / 8 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.40406993750000003 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.33602137962962964 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 60 scoresByTask {"CMedQAv2-reranking":0.216,"CUREv1":0.31024,"CmedqaRetrieval":0.02579,"MedicalQARetrieval":0.71455,"MedrxivClusteringP2P.v2":0.364043,"MedrxivClusteringS2S.v2":0.349025,"NFCorpus":0.37897,"PublicHealthQA":0.45346125,"SciFact":0.76178,"SciFact-PL":0.34309,"TRECCOVID":0.68783,"TRECCOVID-PL":0.24406} scoresByTaskType {"Clustering":0.356534,"Reranking":0.216,"Retrieval":0.4355301388888889} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Medical%2C%20v1)/scores) Source MTEB Original model label thenlper/gte-base Observed 2026-10-22T02:50:10.660Z Evidence SHA-256 `6d1534f25189a9c84e353ced1f8d3958b2563d7c00e9719485eea3dbb0d1f13d` Source locator `/rows/59` | | | | | [RTEB(Law, beta) · RTEB Legal](https://benchize.com/benchmarks/mteb%3ARTEB(Law%2C%20beta).md) | 0.32source score | 11 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.3235825 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 115 scoresByTask {"AILACasedocs":0.2833,"AILAStatutes":0.22275,"LegalQuAD":0.15707,"LegalSummarization":0.63121} 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 thenlper/gte-base Observed 2026-10-22T02:50:16.159Z Evidence SHA-256 `7204bf17f439a2d3c2052309544ff33f53928c057dd204e20b275f942e4f5516` Source locator `/rows/114` | | | | | [RTEB(deu, beta) · RTEB German](https://benchize.com/benchmarks/mteb%3ARTEB(deu%2C%20beta).md) | 0.16source score | 13 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.15707 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 155 scoresByTask {"LegalQuAD":0.15707} 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 thenlper/gte-base Observed 2026-10-22T02:50:15.405Z Evidence SHA-256 `70250aaee4788084a090cdccd91621a3c80bbf5076195bc3f215bcb392e7637d` Source locator `/rows/154` | | | | | [MTEB(fra, v1) · French](https://benchize.com/benchmarks/mteb%3AMTEB(fra%2C%20v1).md) | 0.5source score | 5 / 7 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.49599163333333335 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5169473163265306 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 71 scoresByTask {"AlloProfClusteringP2P":0.600513,"AlloProfClusteringS2S":0.370729,"AlloprofReranking":0.665411,"AlloprofRetrieval":0.34561,"AmazonReviewsClassification":0.28625999999999996,"BSARDRetrieval":0.33784,"HALClusteringS2S":0.229799,"MLSUMClusteringP2P":0.4260465,"MLSUMClusteringS2S":0.41379600000000005,"MTOPDomainClassification":0.7708955,"MTOPIntentClassification":0.3927305,"MasakhaNEWSClassification":0.757109,"MasakhaNEWSClusteringP2P":0.37263,"MasakhaNEWSClusteringS2S":0.474905,"MassiveIntentClassification":0.441318,"MassiveScenarioClassification":0.545847,"MintakaRetrieval":0.17143,"PawsXPairClassification":0.5646445,"SICKFr":0.6600985,"STS22":0.810505,"STSBenchmarkMultilingualSTS":0.732599,"SummEvalFr":0.293614,"SyntecReranking":0.767357,"SyntecRetrieval":0.62449,"XPQARetrieval":0.3436133333333333} scoresByTaskType {"Classification":0.53236,"Clustering":0.41263121428571425,"PairClassification":0.5646445,"Reranking":0.7163839999999999,"Retrieval":0.3645966666666666,"STS":0.7344008333333334,"Summarization":0.293614} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(fra%2C%20v1)/scores) Source MTEB Original model label thenlper/gte-base Observed 2026-10-22T02:50:08.908Z Evidence SHA-256 `e2ba55b8933730b983cec761c965ff540336068780c799c6af25183ac4e52267` Source locator `/rows/71` | | | | | [RTEB(fra, beta) · RTEB French](https://benchize.com/benchmarks/mteb%3ARTEB(fra%2C%20beta).md) | 0.24source score | 12 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.2391136363636364 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 120 scoresByTask {"CUREv1":0.2391136363636364} 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 thenlper/gte-base Observed 2026-10-22T02:50:15.152Z Evidence SHA-256 `ec979a256821300f551b7822b61d94415dd4bf631591e9b647f2b6ae5b4b60f4` Source locator `/rows/119` | | | | | [MTEB(Law, v1) · Legal](https://benchize.com/benchmarks/mteb%3AMTEB(Law%2C%20v1).md) | 0.4source score | 7 / 12 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.40012749999999997 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.40012749999999997 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 84 scoresByTask {"AILACasedocs":0.2833,"AILAStatutes":0.22275,"GerDaLIRSmall":0.04112,"LeCaRDv2":0.21572,"LegalBenchConsumerContractsQA":0.73171,"LegalBenchCorporateLobbying":0.91814,"LegalQuAD":0.15707,"LegalSummarization":0.63121} scoresByTaskType {"Retrieval":0.40012749999999997} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Law%2C%20v1)/scores) Source MTEB Original model label thenlper/gte-base Observed 2026-10-22T02:50:10.398Z Evidence SHA-256 `366cc22709240d33f3a878edf79ca05670c259d3ada02601cd525a1dfb8143c1` Source locator `/rows/83` | | | | --- Cite as: GTE-Base — Benchize, https://benchize.com/models/gte-base (retrieved 2026-10-22)