# MTEB(Indic, v1) · Indic > Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/mteb%3AMTEB(Indic%2C%20v1). When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/mteb%3AMTEB(Indic%2C%20v1). Text embedding quality across Indic languages spanning bitext mining, classification, clustering, pair classification, retrieval, reranking, and semantic similarity. Canonical URL: https://benchize.com/benchmarks/mteb%3AMTEB(Indic%2C%20v1) 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. Text embedding quality across Indic languages spanning bitext mining, classification, clustering, pair classification, retrieval, reranking, and semantic similarity. Embeddings · Models tested: 7 · Score publishers: MTEB ## Model results | # | Model | Score | | | --- | --- | --- | --- | | 1 | [E5-Large-v2](https://benchize.com/models/e5-large-v2.md) | 0.37source score | | | ### 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` | | | | | 2 | [E5-Base-v2](https://benchize.com/models/e5-base-v2.md) | 0.36source score | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.36331051148200627 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.268786257994368 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 87 scoresByTask {"BelebeleRetrieval":0.14466923076923077,"BengaliSentimentAnalysis":0.589084,"GujaratiNewsClassification":0.43710166919575116,"HindiDiscourseClassification":0.378809,"IN22ConvBitextMining":0.03480993684210527,"IN22GenBitextMining":0.09532940648495976,"IndicCrosslingualSTS":-0.01332694301463828,"MTOPIntentClassification":0.17406100000000002,"MalayalamNewsClassification":0.393095,"MultiHateClassification":0.5447,"NepaliNewsClassification":0.583251953125,"PunjabiNewsClassification":0.6,"SIB200ClusteringS2S":0.04059028714089392,"SanskritShlokasClassification":0.680208,"SentimentAnalysisHindi":0.3918892540044135,"TweetSentimentClassification":0.35625,"UrduRomanSentimentClassification":0.416567,"WikipediaRerankingMultilingual":0.5439722222222223,"XNLI":0.5464092128701867,"XQuADRetrieval":0.32874} scoresByTaskType {"BitextMining":0.06506967166353252,"Classification":0.46208473969376374,"Clustering":0.04059028714089392,"PairClassification":0.5464092128701867,"Reranking":0.5439722222222223,"Retrieval":0.23670461538461537,"STS":-0.01332694301463828} 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-base-v2 Observed 2026-10-21T16:40:34.101Z Evidence SHA-256 `0767a94ce377515114ccf374642f58eb931f56029d0f3fd71a89ba1b78d6dfc9` Source locator `/rows/86` | | | | | 3 | [BGE Base EN V1.5](https://benchize.com/models/bge-base-en-v1-5.md) | 0.34source score | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.3388042610718552 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.259359179065297 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 121 scoresByTask {"BelebeleRetrieval":0.12530346153846153,"BengaliSentimentAnalysis":0.611009,"GujaratiNewsClassification":0.4000758725341426,"HindiDiscourseClassification":0.276611,"IN22ConvBitextMining":0.018283284210526315,"IN22GenBitextMining":0.04903189829072632,"IndicCrosslingualSTS":0.07372074182768025,"MTOPIntentClassification":0.149445,"MalayalamNewsClassification":0.39746,"MultiHateClassification":0.5476000000000001,"NepaliNewsClassification":0.442724609375,"PunjabiNewsClassification":0.5942675159235667,"SIB200ClusteringS2S":0.030642342118868154,"SanskritShlokasClassification":0.620833,"SentimentAnalysisHindi":0.3830833432147465,"TweetSentimentClassification":0.363281,"UrduRomanSentimentClassification":0.406246,"WikipediaRerankingMultilingual":0.5363316137566138,"XNLI":0.5414455386467716,"XQuADRetrieval":0.20869} scoresByTaskType {"BitextMining":0.03365759125062632,"Classification":0.432719695087288,"Clustering":0.030642342118868154,"PairClassification":0.5414455386467716,"Reranking":0.5363316137566138,"Retrieval":0.16699673076923077,"STS":0.07372074182768025} 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-base-en-v1.5 Observed 2026-10-21T16:40:34.101Z Evidence SHA-256 `0767a94ce377515114ccf374642f58eb931f56029d0f3fd71a89ba1b78d6dfc9` Source locator `/rows/120` | | | | | 4 | [GTE-Base](https://benchize.com/models/gte-base.md) | 0.32source score | | | ### 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 2026-10-21T16:40:34.101Z Evidence SHA-256 `0767a94ce377515114ccf374642f58eb931f56029d0f3fd71a89ba1b78d6dfc9` Source locator `/rows/155` | | | | | 5 | [all-MiniLM-L6-v2](https://benchize.com/models/all-minilm-l6-v2.md) | 0.32source score | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.3179841159670872 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.20351591925763154 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 147 scoresByTask {"BelebeleRetrieval":0.07661653846153846,"BengaliSentimentAnalysis":0.585416307901689,"GujaratiNewsClassification":0.4257966616084977,"HindiDiscourseClassification":0.320361328125,"IN22ConvBitextMining":0.014159649173088044,"IN22GenBitextMining":0.03573555991037402,"IndicCrosslingualSTS":-0.06275768107301821,"MTOPIntentClassification":0.18495050671232555,"MalayalamNewsClassification":0.41420634920634913,"MultiHateClassification":0.5497,"NepaliNewsClassification":0.47138671875,"PunjabiNewsClassification":0.5993630573248407,"SIB200ClusteringS2S":0.031032784763756097,"SanskritShlokasClassification":0.6302083333333333,"SentimentAnalysisHindi":0.37939144205770264,"TweetSentimentClassification":0.338671875,"UrduRomanSentimentClassification":0.3892201589975233,"WikipediaRerankingMultilingual":0.39181785714285716,"XNLI":0.5366748719458873,"XQuADRetrieval":0.04773} scoresByTaskType {"BitextMining":0.024947604541731033,"Classification":0.4407227282514385,"Clustering":0.031032784763756097,"PairClassification":0.5366748719458873,"Reranking":0.39181785714285716,"Retrieval":0.062173269230769226,"STS":-0.06275768107301821} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Indic%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L6-v2 Observed 2026-10-21T16:40:34.101Z Evidence SHA-256 `0767a94ce377515114ccf374642f58eb931f56029d0f3fd71a89ba1b78d6dfc9` Source locator `/rows/146` | | | | | 6 | [BGE Large EN V1.5](https://benchize.com/models/bge-large-en-v1-5.md) | 0.32source score | | | ### 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` | | | | | 7 | [GTE-Large](https://benchize.com/models/gte-large.md) | 0.31source score | | | ### 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` | | | | --- Cite as: MTEB(Indic, v1) · Indic — Benchize, https://benchize.com/benchmarks/mteb%3AMTEB(Indic%2C%20v1) (retrieved 2026-10-21)