# Text Embedding Ada 002

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OpenAI

Canonical URL: https://benchize.com/models/text-embedding-ada-002
Last updated: Wed, 21 Oct 2026 18:52:20 GMT

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OpenAI

## Benchmarks

| Benchmark | Score | Rank |  |
| --- | --- | --- | --- |
| [BEIR](https://benchize.com/benchmarks/mteb%3ABEIR.md) | 0.49source score | 12 / 15 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4924667333333333 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4924667333333333 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 124 scoresByTask {"ArguAna":0.57437,"CQADupstackRetrieval":0.416921,"ClimateFEVER":0.21636,"DBPedia":0.39388,"FEVER":0.74989,"FiQA2018":0.44407,"HotpotQA":0.60896,"MSMARCO":0.40913,"NFCorpus":0.36972,"NQ":0.51581,"QuoraRetrieval":0.87602,"SCIDOCS":0.1836,"SciFact":0.72746,"TRECCOVID":0.68474,"Touche2020":0.21607} scoresByTaskType {"Retrieval":0.4924667333333333} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/BEIR/scores) Source MTEB Original model label openai/text-embedding-ada-002 Observed 2026-10-21T16:40:29.416Z Evidence SHA-256 `aa692eb1a79edbe38d3f54eb90a444bff3d6c0f7b0d66e7893c86efe737c8e26` Source locator `/rows/123` |  |  |  |
| [ChemTEB · Chemical](https://benchize.com/benchmarks/mteb%3AChemTEB.md) | 0.73source score | 3 / 13 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.7250024197530864 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5211490909803922 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 10 scoresByTask {"ChemHotpotQARetrieval":0.8047733333333333,"ChemNQRetrieval":0.53004,"PubChemAISentenceParaphrasePC":0.94319,"PubChemSMILESBitextMining":0.003408,"PubChemSMILESPC":0.111315,"PubChemSynonymPC":0.630975,"PubChemWikiPairClassification":0.919218,"PubChemWikiParagraphsPC":0.326533,"SDSEyeProtectionClassification":0.70615,"SDSGlovesClassification":0.61885,"WikipediaBioMetChemClassification":0.994343,"WikipediaBiolumNeurochemClassification":0.969388,"WikipediaChemEngSpecialtiesClassification":0.737097,"WikipediaChemFieldsClassification":0.559091,"WikipediaChemistryTopicsClassification":0.887648,"WikipediaChemistryTopicsClustering":0.755327,"WikipediaCompChemSpectroscopyClassification":0.79638,"WikipediaCryobiologySeparationClassification":0.939914,"WikipediaCrystallographyAnalyticalClassification":0.967698,"WikipediaGreenhouseEnantiopureClassification":0.982018,"WikipediaIsotopesFissionClassification":0.909524,"WikipediaLuminescenceClassification":0.904878,"WikipediaOrganicInorganicClassification":0.908365,"WikipediaSaltsSemiconductorsClassification":0.90303,"WikipediaSolidStateColloidalClassification":0.836486,"WikipediaSpecialtiesInChemistryClustering":0.260943,"WikipediaTheoreticalAppliedClassification":0.668483} scoresByTaskType {"BitextMining":0.003408,"Classification":0.8405495882352941,"Clustering":0.508135,"PairClassification":0.5862461999999999,"Retrieval":0.6674066666666667} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/ChemTEB/scores) Source MTEB Original model label openai/text-embedding-ada-002 Observed 2026-10-21T16:40:30.425Z Evidence SHA-256 `a686e5d3d53f427eaafcd06cf50605dd45e3b4e0a7aaae31f5e8c757b4adbbed` Source locator `/rows/9` |  |  |  |

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Cite as: Text Embedding Ada 002 — Benchize, https://benchize.com/models/text-embedding-ada-002 (retrieved 2026-10-21)