# Text Embedding 3 Large

> Source: Benchize (https://benchize.com) — https://benchize.com/models/text-embedding-3-large. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/text-embedding-3-large.

OpenAI

Canonical URL: https://benchize.com/models/text-embedding-3-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.

OpenAI

## Benchmarks

| Benchmark | Score | Rank |  |
| --- | --- | --- | --- |
| [BRIGHT · Reasoning Retrieval](https://benchize.com/benchmarks/mteb%3ABRIGHT.md) | 0.18source score | 1 / 3 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.17566 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.17566 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 10 scoresByTask {"BrightRetrieval":0.17566} scoresByTaskType {"Retrieval":0.17566} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/BRIGHT/scores) Source MTEB Original model label openai/text-embedding-3-large Observed 2026-10-21T16:40:29.916Z Evidence SHA-256 `b3be287be0beea7d05659deef5cb416b5d9a3c0dd9ddf9fb452418cd80365341` Source locator `/rows/9` |  |  |  |
| [LongEmbed · Long-context Retrieval](https://benchize.com/benchmarks/mteb%3ALongEmbed.md) | 0.52source score | 3 / 13 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5242316666666667 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5242316666666667 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 50 scoresByTask {"LEMBNarrativeQARetrieval":0.44088,"LEMBNeedleRetrieval":0.2925,"LEMBPasskeyRetrieval":0.6975,"LEMBQMSumRetrieval":0.32493,"LEMBSummScreenFDRetrieval":0.84799,"LEMBWikimQARetrieval":0.54159} scoresByTaskType {"Retrieval":0.5242316666666667} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/LongEmbed/scores) Source MTEB Original model label openai/text-embedding-3-large Observed 2026-10-21T16:40:31.460Z Evidence SHA-256 `f15d7a6a931cf287269b9fe1060d2ae3f8cd2d1cc004a12b65bfc447716cc008` Source locator `/rows/49` |  |  |  |
| [BEIR](https://benchize.com/benchmarks/mteb%3ABEIR.md) | 0.55source score | 3 / 15 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5543162 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5543162 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 36 scoresByTask {"ArguAna":0.57992,"CQADupstackRetrieval":0.475373,"ClimateFEVER":0.30275,"DBPedia":0.44755,"FEVER":0.87937,"FiQA2018":0.55002,"HotpotQA":0.71578,"MSMARCO":0.40245,"NFCorpus":0.42071,"NQ":0.61273,"QuoraRetrieval":0.89051,"SCIDOCS":0.23071,"SciFact":0.7777,"TRECCOVID":0.79562,"Touche2020":0.23355} scoresByTaskType {"Retrieval":0.5543162} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/BEIR/scores) Source MTEB Original model label openai/text-embedding-3-large Observed 2026-10-21T16:40:29.416Z Evidence SHA-256 `aa692eb1a79edbe38d3f54eb90a444bff3d6c0f7b0d66e7893c86efe737c8e26` Source locator `/rows/35` |  |  |  |
| [RTEB(fin, beta) · RTEB Finance](https://benchize.com/benchmarks/mteb%3ARTEB(fin%2C%20beta).md) | 0.68source score | 4 / 13 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.67753 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 38 scoresByTask {"EnglishFinance1Retrieval":0.70158,"EnglishFinance2Retrieval":0.55235,"EnglishFinance3Retrieval":0.74774,"EnglishFinance4Retrieval":0.52826,"FinQARetrieval":0.53681,"FinanceBenchRetrieval":0.83648,"HC3FinanceRetrieval":0.6593} 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 openai/text-embedding-3-large Observed 2026-10-21T16:40:40.217Z Evidence SHA-256 `e372e75484a69b00e1a4f9619cc0d72b27ed359ea6b25f0c413f1c9551e05c7e` Source locator `/rows/37` |  |  |  |
| [MTEB(spa, v1) · Spanish](https://benchize.com/benchmarks/mteb%3AMTEB(spa%2C%20v1).md) | 0.69source score | 2 / 5 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.6850363020833333 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.6860965069444444 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 10 scoresByTask {"MIRACLReranking":0.61922,"MIRACLRetrievalHardNegatives.v2":0.51873,"MLSUMClusteringP2P":0.5070865,"MLSUMClusteringS2S":0.5043585,"MintakaRetrieval":0.60201,"PawsXPairClassification":0.619745,"STS17":0.879499,"STS22":0.672555,"STSBenchmarkMultilingualSTS":0.8452395,"STSES":0.742164,"SpanishNewsClassification.v2":0.912598,"SpanishPassageRetrievalS2P":0.45956,"SpanishPassageRetrievalS2S":0.73132,"SpanishSentimentClassification.v2":0.942336,"XNLI":0.754256,"XPQARetrieval":0.6499033333333334} scoresByTaskType {"Classification":0.927467,"Clustering":0.5057225000000001,"PairClassification":0.6870005,"Reranking":0.61922,"Retrieval":0.5923046666666667,"STS":0.784864375} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(spa%2C%20v1)/scores) Source MTEB Original model label openai/text-embedding-3-large Observed 2026-10-21T16:40:36.375Z Evidence SHA-256 `c8eba8bf2233665c86eba5e08e282beb5d4c20ed913f54f2b53d398a89d7ffcf` Source locator `/rows/9` |  |  |  |
| [MTEB(Scandinavian, v1) · Scandinavian](https://benchize.com/benchmarks/mteb%3AMTEB(Scandinavian%2C%20v1).md) | 0.63source score | 1 / 4 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.6251302023809523 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.6243999885531135 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 16 scoresByTask {"AngryTweetsClassification":0.579274,"BornholmBitextMining":0.435626,"DKHateClassification":0.702432,"DalajClassification":0.500563,"DanFeverRetrieval":0.3993,"DanishPoliticalCommentsClassification":0.434221,"LccSentimentClassification":0.58,"MassiveIntentClassification":0.6945146666666666,"MassiveScenarioClassification":0.7587925000000001,"NoRecClassification":0.538965,"NorQuadRetrieval":0.3508,"NordicLangClassification":0.797367,"NorwegianCourtsBitextMining":0.940058,"NorwegianParliamentClassification":0.5774999999999999,"SNLHierarchicalClusteringP2P":0.569396,"SNLHierarchicalClusteringS2S":0.531388,"SNLRetrieval":0.9721,"ScalaClassification":0.507471,"SweFaqRetrieval":0.81588,"SweRecClassification":0.804395,"SwedishSentimentClassification":0.9477295,"SwednClusteringP2P":0.372099,"SwednClusteringS2S":0.251845,"SwednRetrieval":0.82199,"TV2Nordretrieval":0.95186,"TwitterHjerneRetrieval":0.82489,"VGHierarchicalClusteringP2P":0.439334,"VGHierarchicalClusteringS2S":0.403855} scoresByTaskType {"BitextMining":0.687842,"Classification":0.647940358974359,"Clustering":0.42798616666666667,"Retrieval":0.7338314285714286} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Scandinavian%2C%20v1)/scores) Source MTEB Original model label openai/text-embedding-3-large Observed 2026-10-21T16:40:37.645Z Evidence SHA-256 `e66dff65f750060ac5843730eed4679628b45a6418b618e16473d9cc9d24aa94` Source locator `/rows/15` |  |  |  |
| [MTEB(Medical, v1) · Medical](https://benchize.com/benchmarks/mteb%3AMTEB(Medical%2C%20v1).md) | 0.61source score | 1 / 8 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.6096244821474407 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5847954201029621 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 21 scoresByTask {"CMedQAv2-reranking":0.751224,"CUREv1":0.5786790909090909,"CmedqaRetrieval":0.27435,"MedicalQARetrieval":0.79657,"MedrxivClusteringP2P.v2":0.3605684448601972,"MedrxivClusteringS2S.v2":0.343486,"NFCorpus":0.42071,"PublicHealthQA":0.87740625,"SciFact":0.7777,"SciFact-PL":0.71036,"TRECCOVID":0.79562,"TRECCOVID-PL":0.62882} scoresByTaskType {"Clustering":0.3520272224300986,"Reranking":0.751224,"Retrieval":0.6511350378787879} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Medical%2C%20v1)/scores) Source MTEB Original model label openai/text-embedding-3-large Observed 2026-10-21T16:40:35.852Z Evidence SHA-256 `6d1534f25189a9c84e353ced1f8d3958b2563d7c00e9719485eea3dbb0d1f13d` Source locator `/rows/20` |  |  |  |
| [RTEB(Health, beta) · RTEB Healthcare](https://benchize.com/benchmarks/mteb%3ARTEB(Health%2C%20beta).md) | 0.62source score | 4 / 14 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.6227745454545455 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 28 scoresByTask {"CUREv1":0.5786790909090909,"ChatDoctorRetrieval":0.66687,"EnglishHealthcare1Retrieval":0.56601,"GermanHealthcare1Retrieval":0.81089} 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 openai/text-embedding-3-large Observed 2026-10-21T16:40:40.988Z Evidence SHA-256 `bf62d4318f836a1a4f92c7d21e3acad553ff4cffb3162ea312270b15ce1b4e32` Source locator `/rows/27` |  |  |  |
| [MTEB(Law, v1) · Legal](https://benchize.com/benchmarks/mteb%3AMTEB(Law%2C%20v1).md) | 0.59source score | 1 / 12 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5935937499999999 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5935937499999999 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 19 scoresByTask {"AILACasedocs":0.39479,"AILAStatutes":0.4185,"GerDaLIRSmall":0.3277,"LeCaRDv2":0.57197,"LegalBenchConsumerContractsQA":0.79385,"LegalBenchCorporateLobbying":0.95222,"LegalQuAD":0.56336,"LegalSummarization":0.72636} scoresByTaskType {"Retrieval":0.5935937499999999} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Law%2C%20v1)/scores) Source MTEB Original model label openai/text-embedding-3-large Observed 2026-10-21T16:40:35.593Z Evidence SHA-256 `366cc22709240d33f3a878edf79ca05670c259d3ada02601cd525a1dfb8143c1` Source locator `/rows/18` |  |  |  |
| [ChemTEB · Chemical](https://benchize.com/benchmarks/mteb%3AChemTEB.md) | 0.76source score | 1 / 13 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.7594954351851853 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5684121205882353 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 3 scoresByTask {"ChemHotpotQARetrieval":0.8321900000000001,"ChemNQRetrieval":0.62537,"PubChemAISentenceParaphrasePC":0.904486,"PubChemSMILESBitextMining":0.00596825,"PubChemSMILESPC":0.13746,"PubChemSynonymPC":0.735234,"PubChemWikiPairClassification":0.9558185,"PubChemWikiParagraphsPC":0.512724,"SDSEyeProtectionClassification":0.7043,"SDSGlovesClassification":0.7036,"WikipediaBioMetChemClassification":0.995909,"WikipediaBiolumNeurochemClassification":0.984694,"WikipediaChemEngSpecialtiesClassification":0.781452,"WikipediaChemFieldsClassification":0.578726,"WikipediaChemistryTopicsClassification":0.93658,"WikipediaChemistryTopicsClustering":0.789998,"WikipediaCompChemSpectroscopyClassification":0.803167,"WikipediaCryobiologySeparationClassification":0.961803,"WikipediaCrystallographyAnalyticalClassification":0.982818,"WikipediaGreenhouseEnantiopureClassification":0.986404,"WikipediaIsotopesFissionClassification":0.933333,"WikipediaLuminescenceClassification":0.92439,"WikipediaOrganicInorganicClassification":0.910646,"WikipediaSaltsSemiconductorsClassification":0.906061,"WikipediaSolidStateColloidalClassification":0.843018,"WikipediaSpecialtiesInChemistryClustering":0.408899,"WikipediaTheoreticalAppliedClassification":0.661328} scoresByTaskType {"BitextMining":0.00596825,"Classification":0.8587193529411765,"Clustering":0.5994485,"PairClassification":0.6491445,"Retrieval":0.72878} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/ChemTEB/scores) Source MTEB Original model label openai/text-embedding-3-large Observed 2026-10-21T16:40:30.425Z Evidence SHA-256 `a686e5d3d53f427eaafcd06cf50605dd45e3b4e0a7aaae31f5e8c757b4adbbed` Source locator `/rows/3` |  |  |  |
| [RTEB(deu, beta) · RTEB German](https://benchize.com/benchmarks/mteb%3ARTEB(deu%2C%20beta).md) | 0.56source score | 3 / 17 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.56336 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 58 scoresByTask {"German1Retrieval":0.97528,"GermanHealthcare1Retrieval":0.81089,"GermanLegal1Retrieval":0.66654,"LegalQuAD":0.56336} 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 openai/text-embedding-3-large Observed 2026-10-21T16:40:40.727Z Evidence SHA-256 `70250aaee4788084a090cdccd91621a3c80bbf5076195bc3f215bcb392e7637d` Source locator `/rows/57` |  |  |  |
| [FollowIR · Instruction Following](https://benchize.com/benchmarks/mteb%3AFollowIR.md) | -0.03source score | 10 / 16 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| -0.026765020547623527 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| -0.026765020547623527 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 158 scoresByTask {"Core17InstructionRetrieval":-0.0019630682229421848,"News21InstructionRetrieval":-0.02026237736978675,"Robust04InstructionRetrieval":-0.05806961605014164} scoresByTaskType {"InstructionReranking":-0.026765020547623527} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/FollowIR/scores) Source MTEB Original model label openai/text-embedding-3-large Observed 2026-10-21T16:40:36.107Z Evidence SHA-256 `9727e715325c0f35c67173e5a59d96566fb3dded3f9f1558f9a7ddf230445ddb` Source locator `/rows/157` |  |  |  |
| [RTEB(Law, beta) · RTEB Legal](https://benchize.com/benchmarks/mteb%3ARTEB(Law%2C%20beta).md) | 0.53source score | 3 / 17 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5257525 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 38 scoresByTask {"AILACasedocs":0.39479,"AILAStatutes":0.4185,"FrenchLegal1Retrieval":0.70051,"GermanLegal1Retrieval":0.66654,"JapaneseLegal1Retrieval":0.53746,"LegalQuAD":0.56336,"LegalSummarization":0.72636} 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 openai/text-embedding-3-large Observed 2026-10-21T16:40:41.494Z Evidence SHA-256 `7204bf17f439a2d3c2052309544ff33f53928c057dd204e20b275f942e4f5516` Source locator `/rows/37` |  |  |  |
| [RTEB(fra, beta) · RTEB French](https://benchize.com/benchmarks/mteb%3ARTEB(fra%2C%20beta).md) | 0.57source score | 3 / 17 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5685618181818182 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 19 scoresByTask {"CUREv1":0.5685618181818182,"French1Retrieval":0.80504,"FrenchLegal1Retrieval":0.70051} 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 openai/text-embedding-3-large Observed 2026-10-21T16:40:40.473Z Evidence SHA-256 `ec979a256821300f551b7822b61d94415dd4bf631591e9b647f2b6ae5b4b60f4` Source locator `/rows/18` |  |  |  |

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Cite as: Text Embedding 3 Large — Benchize, https://benchize.com/models/text-embedding-3-large (retrieved 2026-10-21)