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MTEB

Choose a shared evaluation protocol to compare model scores. Versions, sources and configurations stay separate.

Atlas snapshot captured 10/19/2026, 10:20:28 AM UTC. This is an import timestamp, not the evaluation date. Coverage may be incomplete.

Reviewed recommendation and limits

Start with retrieval tasks matching your language and domain. Inspect RTEB held-out subsets alongside public-task results when assessing transfer to unseen data.

Select and report the benchmark edition, retrieval task set, language, split and model settings. Preserve task metrics and aggregation. Keep MTEB English v2 and each RTEB open/private edition separate.. Imported groups below may use different protocols; this review does not certify each run. Public-task scores can reflect training exposure. Private RTEB data limits independent reproduction, and its launch report flags QA-derived keyword overlap. Imported English v2 results do not represent RTEB or complete RAG answer quality.

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MTEB English retrieval

Source
MTEB
Version
v2
Measurement date
Not reported
Metric
% · Higher is better
Evaluation scope
MTEB English v2; mean nDCG@10 across 10/10 retrieval tasks: ArguAna, ClimateFEVERHardNegatives, CQADupstackGamingRetrieval, CQADupstackUnixRetrieval, FEVERHardNegatives, FiQA2018, HotpotQAHardNegatives, SCIDOCS, Touche2020Retrieval.v3, TRECCOVID; source-reported training overlap: none reported (not independently verified); experiment configuration: not supplied; result date not supplied

Positions are withheld because at least one result lacks explicit independent provenance or a documented evaluation scope. Missing metadata is shown as unreported; matching imported metadata is not independent verification of the protocol.

  1. Text Embedding 3 Large

    openai/text-embedding-3-large

    58%

    View modelEvidence aggregated

  2. bge-large-en-v1.5

    baai/bge-large-en-v1.5-20251117

    55.4%

    View modelEvidence aggregated

  3. bge-base-en-v1.5

    baai/bge-base-en-v1.5-20251117

    54.8%

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  4. Text Embedding 3 Small

    openai/text-embedding-3-small

    53.5%

    View modelEvidence aggregated

  5. GTE-Large

    thenlper/gte-large-20251117

    53.3%

    View modelEvidence aggregated

  6. GTE-Base

    thenlper/gte-base-20251117

    51.9%

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  7. E5-Base-v2

    intfloat/e5-base-v2-20251117

    49.7%

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  8. E5-Large-v2

    intfloat/e5-large-v2-20251117

    49.3%

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  9. all-mpnet-base-v2

    sentence-transformers/all-mpnet-base-v2-20251117

    44.5%

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  10. all-MiniLM-L12-v2

    sentence-transformers/all-minilm-l12-v2-20251117

    43.7%

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  11. all-MiniLM-L6-v2

    sentence-transformers/all-minilm-l6-v2-20251117

    42.9%

    View modelEvidence aggregated
MTEB model results | VibeLeaderboard