MTEB Overall (leaderboard average)

The blended average the public MTEB leaderboard shows across a model's task-type scores; the number most people mean when they say 'MTEB score'.

Also known as: MTEB score, MTEB Task Mean, MTEB Task Type Mean

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Categoryembedding
Subcategorytext embedding (blended average)
Page statusactive
Metricmean score (Task Mean or Task Type Mean)
Directionhigher_is_better
Unit%
Dataset licenceVaries by underlying dataset; the MTEB benchmark code is Apache-2.0.
PublisherHugging Face and Cohere (original authors); maintained today by the open embeddings-benchmark community

What it measures

mteb_overall is not a task of its own. It is the summary column the public MTEB leaderboard shows by default, combining every task type a given leaderboard variant covers — retrieval, classification, clustering, reranking, STS, summarization, pair classification, and on some variants bitext mining — into one number per model. It is what most vendor announcements and comparison charts quote when they say "MTEB."

Task format

Not a task: an aggregation (mean) of a model's scores on every task in a given MTEB benchmark variant, computed after the model has already been scored on each individual task.

Models reporting this benchmark

These figures come from the model cards, which carry one collection date per card and no per-score attribution. They are shown as reported, not as verified evidence.
ModelProviderScoreCard as of
bge reranker v2 m3BAAI70.12026-04
NV Embed v2NVIDIA69.52026-04
jina reranker v2 base multilingualJina AI68.52026-04
bge m3BAAI68.22026-04
Qwen3 Embedding 8BAlibaba / Qwen Team68.02026-04
Qwen3 VL Embedding 8BAlibaba / Qwen Team68.02026-04
jina embeddings v4Jina AI67.82026-04
jina embeddings v4 vllm retrievalJina AI67.82026-04
Voyage 3Voyage AI67.22026-04
bge multilingual gemma2BAAI66.82026-04
e5 mistral 7B instructintfloat66.82026-04
jina embeddings v3Jina AI66.52026-04
Gemini Embedding 001Google DeepMind66.22026-04
nomic embed text v2 moeNomic AI65.52026-04
nomic embed text v2 moe GGUFNomic AI65.52026-04
Qwen3 Embedding 4BAlibaba / Qwen Team65.52026-04
snowflake arctic embed l v2.0Snowflake65.52026-04
SFR Embedding 2 RSalesforce65.22026-04
text-embedding-3-largeOpenAI64.82026-04
bge large zh v1.5BAAI64.52026-04
multilingual e5 large instructintfloat64.52026-04
bge large en v1.5BAAI64.22026-04
bge large zhBAAI63.52026-04
granite embedding english r2IBM63.52026-04
granite embedding small english r2IBM63.52026-04
Voyage Code 3Voyage AI63.52026-04
snowflake arctic embed lSnowflake63.22026-04
bge large enBAAI63.02026-04
Voyage Finance 2Voyage AI63.02026-04
nomic embed text v1.5Nomic AI62.82026-04
nomic embed text v1.5 GGUFNomic AI62.82026-04
snowflake arctic embed m v2.0Snowflake62.82026-04
Voyage Multilingual 2Voyage AI62.82026-04
e5 large v2intfloat62.52026-04
Voyage Law 2Voyage AI62.52026-04
bge base en v1.5BAAI62.12026-04
Voyage 3 LiteVoyage AI62.12026-04
bge base zh v1.5BAAI622026-04
granite embedding 278M multilingualIBM61.52026-04
nomic embed text v1Nomic AI61.52026-04
snowflake arctic embed m v1.5Snowflake61.52026-04
multilingual e5 largeintfloat61.22026-04
bge base zhBAAI612026-04
e5 largeintfloat61.02026-04
snowflake arctic embed m longSnowflake61.02026-04
bge base enBAAI60.82026-04
jina embeddings v2 base enJina AI60.82026-04
bge code v1BAAI60.52026-04
nomic embed codeNomic AI60.52026-04
snowflake arctic embed mSnowflake60.52026-04
e5 large unsupervisedintfloat60.22026-04
jina embeddings v2 base deJina AI60.22026-04
Mistral EmbedMistral AI60.22026-04
Qwen3 Embedding 0.6BAlibaba / Qwen Team60.02026-04
Qwen3 VL Embedding 2BAlibaba / Qwen Team60.02026-04
e5 base v2intfloat59.82026-04
jina embeddings v2 base codeJina AI59.52026-04
SFR Embedding Code 400M RSalesforce59.52026-04
bge small en v1.5BAAI59.32026-04
bge small zh v1.5BAAI592026-04
multilingual e5 baseintfloat59.02026-04
e5 baseintfloat58.52026-04
granite embedding 125M englishIBM58.52026-04
jina embeddings v2 small enJina AI58.52026-04
text-embedding-3-smallOpenAI58.52026-04
bge small zhBAAI58.22026-04
granite embedding 107M multilingualIBM58.02026-04
all mpnet base v2Sentence Transformers57.82026-04
snowflake arctic embed sSnowflake57.82026-04
bge small enBAAI57.52026-04
e5 small v2intfloat57.52026-04
multilingual e5 smallintfloat57.22026-04
all MiniLM L12 v2Sentence Transformers56.82026-04
all MiniLM L6 v2Sentence Transformers56.32026-04
e5 smallintfloat56.22026-04
all roberta large v1Sentence Transformers56.02026-04
multi qa mpnet base dot v1Sentence Transformers55.82026-04
text-embedding-ada-002OpenAI55.82026-04
multi qa mpnet base cos v1Sentence Transformers55.52026-04
paraphrase mpnet base v2Sentence Transformers55.52026-04
all distilroberta v1Sentence Transformers55.22026-04
snowflake arctic embed xsSnowflake55.22026-04
paraphrase multilingual mpnet base v2Sentence Transformers54.82026-04
multi qa MiniLM L6 cos v1Sentence Transformers54.22026-04
paraphrase multilingual MiniLM L12 v2Sentence Transformers53.52026-04
paraphrase MiniLM L12 v2Sentence Transformers53.22026-04
granite embedding 30M englishIBM53.02026-04
granite embedding 30M sparseIBM53.02026-04
msmarco bert base dot v5Sentence Transformers53.02026-04
paraphrase MiniLM L6 v2Sentence Transformers52.82026-04
msmarco MiniLM L12 cos v5Sentence Transformers52.52026-04
LaBSESentence Transformers52.02026-04
msmarco MiniLM L6 v3Sentence Transformers51.52026-04
paraphrase MiniLM L3 v2Sentence Transformers50.52026-04
distiluse base multilingual cased v2Sentence Transformers50.02026-04
distiluse base multilingual cased v1Sentence Transformers48.52026-04

Data

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