# GTE-Large > Source: Benchize (https://benchize.com) — https://benchize.com/models/gte-large. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/gte-large. Thenlper Canonical URL: https://benchize.com/models/gte-large 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. Thenlper ## Benchmarks | Benchmark | Score | Rank | | | --- | --- | --- | --- | | [MTEB(fra, v1) · French](https://benchize.com/benchmarks/mteb%3AMTEB(fra%2C%20v1).md) | 0.51source score | 3 / 7 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.51470008 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5306739795918367 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 63 scoresByTask {"AlloProfClusteringP2P":0.576702,"AlloProfClusteringS2S":0.384662,"AlloprofReranking":0.70544,"AlloprofRetrieval":0.41356,"AmazonReviewsClassification":0.31093,"BSARDRetrieval":0.40541,"HALClusteringS2S":0.240663,"MLSUMClusteringP2P":0.4271285,"MLSUMClusteringS2S":0.419182,"MTOPDomainClassification":0.802007,"MTOPIntentClassification":0.38140949999999996,"MasakhaNEWSClassification":0.756635,"MasakhaNEWSClusteringP2P":0.430697,"MasakhaNEWSClusteringS2S":0.535602,"MassiveIntentClassification":0.451715,"MassiveScenarioClassification":0.5665065,"MintakaRetrieval":0.20553,"PawsXPairClassification":0.5746925,"SICKFr":0.6878925,"STS22":0.808783,"STSBenchmarkMultilingualSTS":0.7576815,"SummEvalFr":0.291358,"SyntecReranking":0.724675,"SyntecRetrieval":0.63912,"XPQARetrieval":0.36952} scoresByTaskType {"Classification":0.5448671666666667,"Clustering":0.4306623571428571,"PairClassification":0.5746925,"Reranking":0.7150574999999999,"Retrieval":0.406628,"STS":0.7514523333333333,"Summarization":0.291358} 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-large Observed 2026-10-21T16:40:33.844Z Evidence SHA-256 `e2ba55b8933730b983cec761c965ff540336068780c799c6af25183ac4e52267` Source locator `/rows/62` | | | | | [MTEB(Indic, v1) · Indic](https://benchize.com/benchmarks/mteb%3AMTEB(Indic%2C%20v1).md) | 0.31source score | 7 / 7 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.31318366742192016 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.22298646706532813 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 168 scoresByTask {"BelebeleRetrieval":0.12649923076923078,"BengaliSentimentAnalysis":0.553928,"GujaratiNewsClassification":0.420865,"HindiDiscourseClassification":0.243896,"IN22ConvBitextMining":0.010470744736842105,"IN22GenBitextMining":0.033885515789473686,"IndicCrosslingualSTS":0.015148999999999998,"MTOPIntentClassification":0.084791,"MalayalamNewsClassification":0.39754,"MultiHateClassification":0.5468,"NepaliNewsClassification":0.405713,"PunjabiNewsClassification":0.564331,"SIB200ClusteringS2S":0.025697857142857144,"SanskritShlokasClassification":0.616667,"SentimentAnalysisHindi":0.359396,"TweetSentimentClassification":0.366797,"UrduRomanSentimentClassification":0.4126,"WikipediaRerankingMultilingual":0.458024,"XNLI":0.503703,"XQuADRetrieval":0.11692} scoresByTaskType {"BitextMining":0.022178130263157896,"Classification":0.41444366666666665,"Clustering":0.025697857142857144,"PairClassification":0.503703,"Reranking":0.458024,"Retrieval":0.12170961538461539,"STS":0.015148999999999998} 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-large Observed 2026-10-21T16:40:34.101Z Evidence SHA-256 `0767a94ce377515114ccf374642f58eb931f56029d0f3fd71a89ba1b78d6dfc9` Source locator `/rows/167` | | | | | [RTEB(fra, beta) · RTEB French](https://benchize.com/benchmarks/mteb%3ARTEB(fra%2C%20beta).md) | 0.28source score | 9 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.2772909090909091 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 106 scoresByTask {"CUREv1":0.2772909090909091} 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-large Observed 2026-10-21T16:40:40.473Z Evidence SHA-256 `ec979a256821300f551b7822b61d94415dd4bf631591e9b647f2b6ae5b4b60f4` Source locator `/rows/105` | | | | | [RTEB(deu, beta) · RTEB German](https://benchize.com/benchmarks/mteb%3ARTEB(deu%2C%20beta).md) | 0.2source score | 10 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.19816 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 134 scoresByTask {"LegalQuAD":0.19816} 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-large Observed 2026-10-21T16:40:40.727Z Evidence SHA-256 `70250aaee4788084a090cdccd91621a3c80bbf5076195bc3f215bcb392e7637d` Source locator `/rows/133` | | | | | [BEIR](https://benchize.com/benchmarks/mteb%3ABEIR.md) | 0.52source score | 6 / 15 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5221828666666667 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5221828666666667 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 82 scoresByTask {"ArguAna":0.57158,"CQADupstackRetrieval":0.431763,"ClimateFEVER":0.2882,"DBPedia":0.42371,"FEVER":0.8453399999999999,"FiQA2018":0.44499,"HotpotQA":0.67156,"MSMARCO":0.40859,"NFCorpus":0.38173,"NQ":0.54777,"QuoraRetrieval":0.88319,"SCIDOCS":0.23440000000000003,"SciFact":0.74265,"TRECCOVID":0.7021999999999999,"Touche2020":0.25507} scoresByTaskType {"Retrieval":0.5221828666666667} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/BEIR/scores) Source MTEB Original model label thenlper/gte-large Observed 2026-10-21T16:40:29.416Z Evidence SHA-256 `aa692eb1a79edbe38d3f54eb90a444bff3d6c0f7b0d66e7893c86efe737c8e26` Source locator `/rows/81` | | | | | [MTEB(Law, v1) · Legal](https://benchize.com/benchmarks/mteb%3AMTEB(Law%2C%20v1).md) | 0.41source score | 5 / 12 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4119575 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4119575 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 68 scoresByTask {"AILACasedocs":0.30493,"AILAStatutes":0.23233,"GerDaLIRSmall":0.05604,"LeCaRDv2":0.2115,"LegalBenchConsumerContractsQA":0.74173,"LegalBenchCorporateLobbying":0.91462,"LegalQuAD":0.19816,"LegalSummarization":0.63635} scoresByTaskType {"Retrieval":0.4119575} 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-large Observed 2026-10-21T16:40:35.593Z Evidence SHA-256 `366cc22709240d33f3a878edf79ca05670c259d3ada02601cd525a1dfb8143c1` Source locator `/rows/67` | | | | | [LongEmbed · Long-context Retrieval](https://benchize.com/benchmarks/mteb%3ALongEmbed.md) | 0.39source score | 8 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.386725 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.386725 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 89 scoresByTask {"LEMBNarrativeQARetrieval":0.30555,"LEMBNeedleRetrieval":0.27,"LEMBPasskeyRetrieval":0.38,"LEMBQMSumRetrieval":0.22407,"LEMBSummScreenFDRetrieval":0.64899,"LEMBWikimQARetrieval":0.49174} scoresByTaskType {"Retrieval":0.386725} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/LongEmbed/scores) Source MTEB Original model label thenlper/gte-large Observed 2026-10-21T16:40:31.460Z Evidence SHA-256 `f15d7a6a931cf287269b9fe1060d2ae3f8cd2d1cc004a12b65bfc447716cc008` Source locator `/rows/88` | | | | | [RTEB(Law, beta) · RTEB Legal](https://benchize.com/benchmarks/mteb%3ARTEB(Law%2C%20beta).md) | 0.34source score | 8 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.34294250000000004 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 99 scoresByTask {"AILACasedocs":0.30493,"AILAStatutes":0.23233,"LegalQuAD":0.19816,"LegalSummarization":0.63635} 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-large Observed 2026-10-21T16:40:41.494Z Evidence SHA-256 `7204bf17f439a2d3c2052309544ff33f53928c057dd204e20b275f942e4f5516` Source locator `/rows/98` | | | | | [MTEB(Medical, v1) · Medical](https://benchize.com/benchmarks/mteb%3AMTEB(Medical%2C%20v1).md) | 0.42source score | 3 / 8 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.42105517361111117 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.34645970679012345 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 49 scoresByTask {"CMedQAv2-reranking":0.221975,"CUREv1":0.33269333333333334,"CmedqaRetrieval":0.02458,"MedicalQARetrieval":0.72611,"MedrxivClusteringP2P.v2":0.366636,"MedrxivClusteringS2S.v2":0.355064,"NFCorpus":0.38173,"PublicHealthQA":0.51562375,"SciFact":0.74265,"SciFact-PL":0.38933,"TRECCOVID":0.7021999999999999,"TRECCOVID-PL":0.29407} scoresByTaskType {"Clustering":0.36085,"Reranking":0.221975,"Retrieval":0.45655412037037046} 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-large Observed 2026-10-21T16:40:35.852Z Evidence SHA-256 `6d1534f25189a9c84e353ced1f8d3958b2563d7c00e9719485eea3dbb0d1f13d` Source locator `/rows/48` | | | | | [MTEB(deu, v1) · German](https://benchize.com/benchmarks/mteb%3AMTEB(deu%2C%20v1).md) | 0.43source score | 3 / 10 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.43101357894736836 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4234298194444444 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 64 scoresByTask {"AmazonCounterfactualClassification":0.549092,"AmazonReviewsClassification":0.27824,"BlurbsClusteringP2P":0.30087,"BlurbsClusteringS2S":0.126276,"FalseFriendsGermanEnglish":0.4788,"GerDaLIR":0.02118,"GermanDPR":0.70453,"GermanQuAD-Retrieval":0.796378,"GermanSTSBenchmark":0.698542,"MIRACLReranking":0.2932,"MTOPDomainClassification":0.7568665,"MTOPIntentClassification":0.4235545,"MassiveIntentClassification":0.420738,"MassiveScenarioClassification":0.5785195000000001,"PawsXPairClassification":0.5220095,"STS22":0.396443,"TenKGnadClusteringP2P":0.434555,"TenKGnadClusteringS2S":0.251424,"XMarket":0.15804} scoresByTaskType {"Classification":0.5011684166666667,"Clustering":0.27828125000000004,"PairClassification":0.50040475,"Reranking":0.2932,"Retrieval":0.42003199999999996,"STS":0.5474924999999999} 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-large Observed 2026-10-21T16:40:33.254Z Evidence SHA-256 `3049d3866e4630fda80cc24a54b97fabf1229366932e83607c39ce357fcc2e20` Source locator `/rows/63` | | | | | [FollowIR · Instruction Following](https://benchize.com/benchmarks/mteb%3AFollowIR.md) | -0.01source score | 6 / 16 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| -0.012887333333333334 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| -0.012887333333333334 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 86 scoresByTask {"Core17InstructionRetrieval":-0.003123,"News21InstructionRetrieval":0.012578,"Robust04InstructionRetrieval":-0.048117} scoresByTaskType {"InstructionReranking":-0.012887333333333334} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/FollowIR/scores) Source MTEB Original model label thenlper/gte-large Observed 2026-10-21T16:40:36.107Z Evidence SHA-256 `9727e715325c0f35c67173e5a59d96566fb3dded3f9f1558f9a7ddf230445ddb` Source locator `/rows/86` | | | | --- Cite as: GTE-Large — Benchize, https://benchize.com/models/gte-large (retrieved 2026-10-21)