# MTEB(Scandinavian, v1) · Scandinavian

> Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/mteb%3AMTEB(Scandinavian%2C%20v1). When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/mteb%3AMTEB(Scandinavian%2C%20v1).

Scandinavian text embedding quality covering Danish, Swedish, Norwegian Bokmål, and Nynorsk and spanning classification, clustering, retrieval as well as bitext tasks across dialects or written forms.

Canonical URL: https://benchize.com/benchmarks/mteb%3AMTEB(Scandinavian%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.

Scandinavian text embedding quality covering Danish, Swedish, Norwegian Bokmål, and Nynorsk and spanning classification, clustering, retrieval as well as bitext tasks across dialects or written forms.

Embeddings · Models tested: 4 · Score publishers: [MTEB](https://kennethenevoldsen.github.io/scandinavian-embedding-benchmark/)

## Model results

| # | Model | Score |  |
| --- | --- | --- | --- |
| 1 | [Text Embedding 3 Large](https://benchize.com/models/text-embedding-3-large.md) | 0.63source score |  |
| ### 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` |  |  |  |
| 2 | [Text Embedding 3 Small](https://benchize.com/models/text-embedding-3-small.md) | 0.58source score |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5836172738095238 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5873757092490842 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct -1 ### Reported statistics experiments Not reported rank 34 scoresByTask {"AngryTweetsClassification":0.557402,"BornholmBitextMining":0.412929,"DKHateClassification":0.655319,"DalajClassification":0.50045,"DanFeverRetrieval":0.39186,"DanishPoliticalCommentsClassification":0.398265,"LccSentimentClassification":0.594,"MassiveIntentClassification":0.6399893333333333,"MassiveScenarioClassification":0.7170708333333334,"NoRecClassification":0.494141,"NorQuadRetrieval":0.23345,"NordicLangClassification":0.678933,"NorwegianCourtsBitextMining":0.924269,"NorwegianParliamentClassification":0.5585,"SNLHierarchicalClusteringP2P":0.582222,"SNLHierarchicalClusteringS2S":0.541144,"SNLRetrieval":0.92507,"ScalaClassification":0.504309,"SweFaqRetrieval":0.74101,"SweRecClassification":0.709229,"SwedishSentimentClassification":0.8918945,"SwednClusteringP2P":0.36220399999999997,"SwednClusteringS2S":0.162346,"SwednRetrieval":0.73502,"TV2Nordretrieval":0.92035,"TwitterHjerneRetrieval":0.70883,"VGHierarchicalClusteringP2P":0.430416,"VGHierarchicalClusteringS2S":0.370661} scoresByTaskType {"BitextMining":0.6685989999999999,"Classification":0.6076540512820513,"Clustering":0.40816549999999996,"Retrieval":0.6650842857142857} 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-small Observed 2026-10-21T16:40:37.645Z Evidence SHA-256 `e66dff65f750060ac5843730eed4679628b45a6418b618e16473d9cc9d24aa94` Source locator `/rows/33` |  |  |  |
| 3 | [Bge m3](https://benchize.com/models/bge-m3.md) | 0.58source score |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5790196172821503 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5844518973130454 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 31 scoresByTask {"AngryTweetsClassification":0.574117,"BornholmBitextMining":0.4411047619047619,"DKHateClassification":0.686018,"DalajClassification":0.4986486486486486,"DanFeverRetrieval":0.40766,"DanishPoliticalCommentsClassification":0.411948,"LccSentimentClassification":0.604667,"MassiveIntentClassification":0.6792305000000001,"MassiveScenarioClassification":0.7405445,"NoRecClassification":0.574951,"NorQuadRetrieval":0.22528,"NordicLangClassification":0.3893,"NorwegianCourtsBitextMining":0.9444444444444445,"NorwegianParliamentClassification":0.584542,"SNLHierarchicalClusteringP2P":0.5631676011053827,"SNLHierarchicalClusteringS2S":0.538131,"SNLRetrieval":0.95317,"ScalaClassification":0.5042968750000001,"SweFaqRetrieval":0.76568,"SweRecClassification":0.811768,"SwedishSentimentClassification":0.9561280000000001,"SwednClusteringP2P":0.3542459527969732,"SwednClusteringS2S":0.121969,"SwednRetrieval":0.81039,"TV2Nordretrieval":0.94245,"TwitterHjerneRetrieval":0.37823,"VGHierarchicalClusteringP2P":0.409533,"VGHierarchicalClusteringS2S":0.340934} scoresByTaskType {"BitextMining":0.6927746031746032,"Classification":0.6166276556652808,"Clustering":0.38799675898372604,"Retrieval":0.6404085714285715} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Scandinavian%2C%20v1)/scores) Source MTEB Original model label BAAI/bge-m3 Observed 2026-10-21T16:40:37.645Z Evidence SHA-256 `e66dff65f750060ac5843730eed4679628b45a6418b618e16473d9cc9d24aa94` Source locator `/rows/30` |  |  |  |
| 4 | [all-MiniLM-L6-v2](https://benchize.com/models/all-minilm-l6-v2.md) | 0.39source score |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.38904197565908066 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.39997501406409575 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 142 scoresByTask {"AngryTweetsClassification":0.4248328557784145,"BornholmBitextMining":0.2968132161955691,"DKHateClassification":0.5504559270516718,"DalajClassification":0.49898648648648647,"DanFeverRetrieval":0.28514,"DanishPoliticalCommentsClassification":0.26699972245351095,"LccSentimentClassification":0.38533333333333325,"MassiveIntentClassification":0.3905029355909934,"MassiveScenarioClassification":0.44270366666666666,"NoRecClassification":0.379296875,"NorQuadRetrieval":0.04283,"NordicLangClassification":0.5469666666666667,"NorwegianCourtsBitextMining":0.8654970760233919,"NorwegianParliamentClassification":0.5433749999999999,"SNLHierarchicalClusteringP2P":0.471688034015269,"SNLHierarchicalClusteringS2S":0.46586432500299657,"SNLRetrieval":0.49668,"ScalaClassification":0.50294189453125,"SweFaqRetrieval":0.41075,"SweRecClassification":0.545556640625,"SwedishSentimentClassification":0.7309326171875,"SwednClusteringP2P":0.1642169644991563,"SwednClusteringS2S":0.018842562933840852,"SwednRetrieval":0.25144,"TV2Nordretrieval":0.3411,"TwitterHjerneRetrieval":0.09811,"VGHierarchicalClusteringP2P":0.27862261843015623,"VGHierarchicalClusteringS2S":0.19669589998238293} scoresByTaskType {"BitextMining":0.5811551461094805,"Classification":0.4776065093362688,"Clustering":0.26598840081063363,"Retrieval":0.27515} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Scandinavian%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L6-v2 Observed 2026-10-21T16:40:37.645Z Evidence SHA-256 `e66dff65f750060ac5843730eed4679628b45a6418b618e16473d9cc9d24aa94` Source locator `/rows/141` |  |  |  |

---
Cite as: MTEB(Scandinavian, v1) · Scandinavian — Benchize, https://benchize.com/benchmarks/mteb%3AMTEB(Scandinavian%2C%20v1) (retrieved 2026-10-21)