# Gemini Embedding 001

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Canonical URL: https://benchize.com/models/gemini-embedding-001
Last updated: Wed, 21 Oct 2026 18:52:20 GMT

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## Benchmarks

| Benchmark | Score | Rank |  |
| --- | --- | --- | --- |
| [RTEB(fra, beta) · RTEB French](https://benchize.com/benchmarks/mteb%3ARTEB(fra%2C%20beta).md) | 0.58source score | 2 / 17 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5836481818181819 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 15 scoresByTask {"CUREv1":0.5836481818181819,"French1Retrieval":0.87811,"FrenchLegal1Retrieval":0.86959} 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 google/gemini-embedding-001 Observed 2026-10-21T16:40:40.473Z Evidence SHA-256 `ec979a256821300f551b7822b61d94415dd4bf631591e9b647f2b6ae5b4b60f4` Source locator `/rows/14` |  |  |  |
| [FollowIR · Instruction Following](https://benchize.com/benchmarks/mteb%3AFollowIR.md) | 0.05source score | 3 / 16 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.05179366666666666 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.05179366666666666 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 17 scoresByTask {"Core17InstructionRetrieval":0.076909,"News21InstructionRetrieval":0.102558,"Robust04InstructionRetrieval":-0.024086} scoresByTaskType {"InstructionReranking":0.05179366666666666} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/FollowIR/scores) Source MTEB Original model label google/gemini-embedding-001 Observed 2026-10-21T16:40:36.107Z Evidence SHA-256 `9727e715325c0f35c67173e5a59d96566fb3dded3f9f1558f9a7ddf230445ddb` Source locator `/rows/16` |  |  |  |
| [RTEB(fin, beta) · RTEB Finance](https://benchize.com/benchmarks/mteb%3ARTEB(fin%2C%20beta).md) | 0.78source score | 2 / 13 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.7793266666666666 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 11 scoresByTask {"EnglishFinance1Retrieval":0.73324,"EnglishFinance2Retrieval":0.67396,"EnglishFinance3Retrieval":0.83304,"EnglishFinance4Retrieval":0.57573,"FinQARetrieval":0.64644,"FinanceBenchRetrieval":0.91571,"HC3FinanceRetrieval":0.77583} 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 google/gemini-embedding-001 Observed 2026-10-21T16:40:40.217Z Evidence SHA-256 `e372e75484a69b00e1a4f9619cc0d72b27ed359ea6b25f0c413f1c9551e05c7e` Source locator `/rows/10` |  |  |  |
| [MTEB(spa, v1) · Spanish](https://benchize.com/benchmarks/mteb%3AMTEB(spa%2C%20v1).md) | 0.72source score | 1 / 5 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.7197869583333333 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.7195009236111112 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 87 ### Reported statistics experiments Not reported rank 1 scoresByTask {"MIRACLReranking":0.64087,"MIRACLRetrievalHardNegatives.v2":0.55971,"MLSUMClusteringP2P":0.546547,"MLSUMClusteringS2S":0.5377369999999999,"MintakaRetrieval":0.61785,"PawsXPairClassification":0.6193085,"STS17":0.8972585,"STS22":0.717634,"STSBenchmarkMultilingualSTS":0.886714,"STSES":0.81749,"SpanishNewsClassification.v2":0.909521,"SpanishPassageRetrievalS2P":0.48866,"SpanishPassageRetrievalS2S":0.77148,"SpanishSentimentClassification.v2":0.966423,"XNLI":0.8705849999999999,"XPQARetrieval":0.6688033333333333} scoresByTaskType {"Classification":0.937972,"Clustering":0.5421419999999999,"PairClassification":0.74494675,"Reranking":0.64087,"Retrieval":0.6213006666666667,"STS":0.8297741249999999} trainedOnTasks ["MIRACLReranking","MIRACLRetrievalHardNegatives.v2"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(spa%2C%20v1)/scores) Source MTEB Original model label google/gemini-embedding-001 Observed 2026-10-21T16:40:36.375Z Evidence SHA-256 `c8eba8bf2233665c86eba5e08e282beb5d4c20ed913f54f2b53d398a89d7ffcf` Source locator `/rows/0` |  |  |  |
| [CoIR · Code Information Retrieval](https://benchize.com/benchmarks/mteb%3ACoIR.md) | 0.74source score | 3 / 3 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.7390116666666666 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.7390116666666666 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 18 scoresByTask {"AppsRetrieval":0.93751,"COIRCodeSearchNetRetrieval":0.8105950000000001,"CodeFeedbackMT":0.56279,"CodeFeedbackST":0.85329,"CodeSearchNetCCRetrieval":0.8468616666666667,"CodeTransOceanContest":0.89529,"CodeTransOceanDL":0.31467,"CosQA":0.50238,"StackOverflowQA":0.96713,"SyntheticText2SQL":0.6996} scoresByTaskType {"Retrieval":0.7390116666666666} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/CoIR/scores) Source MTEB Original model label google/gemini-embedding-001 Observed 2026-10-21T16:40:38.655Z Evidence SHA-256 `702b3cd3c4c0e45aa8a44651b56cf0945a7291e9b615807d81f74c44ee69a8bf` Source locator `/rows/17` |  |  |  |
| [MTEB(Code, v1) · Code](https://benchize.com/benchmarks/mteb%3AMTEB(Code%2C%20v1).md) | 0.76source score | 3 / 3 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.7599641132478633 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.7599641132478633 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 14 scoresByTask {"AppsRetrieval":0.93751,"COIRCodeSearchNetRetrieval":0.8105950000000001,"CodeEditSearchRetrieval":0.8161476923076924,"CodeFeedbackMT":0.56279,"CodeFeedbackST":0.85329,"CodeSearchNetCCRetrieval":0.8468616666666667,"CodeSearchNetRetrieval":0.9133049999999999,"CodeTransOceanContest":0.89529,"CodeTransOceanDL":0.31467,"CosQA":0.50238,"StackOverflowQA":0.96713,"SyntheticText2SQL":0.6996} scoresByTaskType {"Retrieval":0.7599641132478633} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Code%2C%20v1)/scores) Source MTEB Original model label google/gemini-embedding-001 Observed 2026-10-21T16:40:39.168Z Evidence SHA-256 `c8855166b6b338358c1c699aa21e1fa3f710c2bf19c2a0b6e6db0136038657d9` Source locator `/rows/13` |  |  |  |
| [RTEB(Law, beta) · RTEB Legal](https://benchize.com/benchmarks/mteb%3ARTEB(Law%2C%20beta).md) | 0.58source score | 2 / 17 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.58462 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 22 scoresByTask {"AILACasedocs":0.48325,"AILAStatutes":0.4877,"FrenchLegal1Retrieval":0.86959,"GermanLegal1Retrieval":0.71492,"JapaneseLegal1Retrieval":0.92278,"LegalQuAD":0.65532,"LegalSummarization":0.71221} 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 google/gemini-embedding-001 Observed 2026-10-21T16:40:41.494Z Evidence SHA-256 `7204bf17f439a2d3c2052309544ff33f53928c057dd204e20b275f942e4f5516` Source locator `/rows/21` |  |  |  |
| [RTEB(Health, beta) · RTEB Healthcare](https://benchize.com/benchmarks/mteb%3ARTEB(Health%2C%20beta).md) | 0.67source score | 2 / 14 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.6654880303030304 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 10 scoresByTask {"CUREv1":0.5957460606060606,"ChatDoctorRetrieval":0.73523,"EnglishHealthcare1Retrieval":0.63378,"GermanHealthcare1Retrieval":0.87423} 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 google/gemini-embedding-001 Observed 2026-10-21T16:40:40.988Z Evidence SHA-256 `bf62d4318f836a1a4f92c7d21e3acad553ff4cffb3162ea312270b15ce1b4e32` Source locator `/rows/9` |  |  |  |
| [RTEB(deu, beta) · RTEB German](https://benchize.com/benchmarks/mteb%3ARTEB(deu%2C%20beta).md) | 0.66source score | 2 / 17 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.65532 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 31 scoresByTask {"German1Retrieval":0.97613,"GermanHealthcare1Retrieval":0.87423,"GermanLegal1Retrieval":0.71492,"LegalQuAD":0.65532} 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 google/gemini-embedding-001 Observed 2026-10-21T16:40:40.727Z Evidence SHA-256 `70250aaee4788084a090cdccd91621a3c80bbf5076195bc3f215bcb392e7637d` Source locator `/rows/30` |  |  |  |

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Cite as: Gemini Embedding 001 — Benchize, https://benchize.com/models/gemini-embedding-001 (retrieved 2026-10-21)