retrieval benchmark
Direct model-level leaderboard results from MTEB.
Updated Aug 18, 2026
Higher official leaderboard task-type mean ranks better on this benchmark.
Rank | Model | Official leaderboard task-type mean | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelIEYuan-embedding-2.0-enIeityuan | Official leaderboard task-type mean70.7% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank02 | ModelJCingot-8b-r3Jcorners | Official leaderboard task-type mean70.0% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank03 | ModelAC | Official leaderboard task-type mean69.4% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank04 | ModelGAgeevec-embeddings-1.0Geevec Ai | Official leaderboard task-type mean68.8% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank05 | ModelAC | Official leaderboard task-type mean68.5% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank06 | ModelSESeed1.5-Embedding | Official leaderboard task-type mean67.5% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank07 | ModelKLQZhou-EmbeddingKingsoft Llm | Official leaderboard task-type mean67.1% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank08 | ModelINJasper-Token-Compression-600MInfgrad | Official leaderboard task-type mean66.2% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank09 | ModelANLGAI-Embedding-PreviewAnnamodels | Official leaderboard task-type mean66.2% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank10 | ModelBY | Official leaderboard task-type mean64.9% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank11 | ModelGO | Official leaderboard task-type mean64.4% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank12 | ModelINinf-retriever-v1Infly | Official leaderboard task-type mean64.1% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank13 | ModelNV | Official leaderboard task-type mean62.8% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank14 | ModelGAgeevec-embeddings-1.0-liteGeevec Ai | Official leaderboard task-type mean62.2% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank15 | ModelAC | Official leaderboard task-type mean61.8% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank16 | ModelGRGeoEmbeddingGeogpt Research Project | Official leaderboard task-type mean60.9% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank17 | ModelINinf-retriever-v1-1.5bInfly | Official leaderboard task-type mean60.8% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank18 | ModelCAF2LLM-v2-14BCodefuse Ai | Official leaderboard task-type mean60.6% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank19 | ModelLALinq-Embed-MistralLinq Ai Research | Official leaderboard task-type mean60.1% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank20 | ModelNV | Official leaderboard task-type mean60.1% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank21 | ModelJIjina-embeddings-v5-omni-smallJinaai | Official leaderboard task-type mean60.1% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank22 | ModelJIjina-embeddings-v5-text-smallJinaai | Official leaderboard task-type mean60.1% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank23 | ModelCAF2LLM-v2-8BCodefuse Ai | Official leaderboard task-type mean59.8% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank24 | ModelASGiga-Embeddings-instructAi Sage | Official leaderboard task-type mean59.7% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank25 | ModelCAF2LLM-4BCodefuse Ai | Official leaderboard task-type mean59.6% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank26 | ModelITICT-TIME-and-Querit-embedding-v1Ict Time And Querit | Official leaderboard task-type mean59.4% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank27 | ModelSASFR-Embedding-MistralSalesforce | Official leaderboard task-type mean59.3% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank28 | ModelCAF2LLM-v2-4BCodefuse Ai | Official leaderboard task-type mean59.1% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank29 | ModelGO | Official leaderboard task-type mean59.1% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank30 | ModelSNsnowflake-arctic-embed-lSnowflake | Official leaderboard task-type mean59.0% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank31 | ModelJIjina-embeddings-v5-omni-nanoJinaai | Official leaderboard task-type mean58.8% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank32 | ModelJIjina-embeddings-v5-text-nanoJinaai | Official leaderboard task-type mean58.8% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank33 | ModelGO | Official leaderboard task-type mean58.8% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank34 | ModelSNsnowflake-arctic-embed-l-v2.0Snowflake | Official leaderboard task-type mean58.6% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank35 | ModelKEKaLM-embedding-multilingual-mini-instruct-v2.5Kalm Embedding | Official leaderboard task-type mean58.5% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank36 | ModelSNsnowflake-arctic-embed-m-v2.0Snowflake | Official leaderboard task-type mean58.4% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank37 | ModelANgte-Qwen2-7B-instructAlibaba Nlp | Official leaderboard task-type mean58.1% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank38 | ModelSNsnowflake-arctic-embed-m-v1.5Snowflake | Official leaderboard task-type mean58.1% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank39 | ModelOP | Official leaderboard task-type mean58.0% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank40 | ModelCAF2LLM-1.7BCodefuse Ai | Official leaderboard task-type mean57.8% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank41 | ModelINe5-mistral-7b-instructIntfloat | Official leaderboard task-type mean57.6% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank42 | ModelSNsnowflake-arctic-embed-mSnowflake | Official leaderboard task-type mean57.5% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank43 | ModelSNsnowflake-arctic-embed-m-longSnowflake | Official leaderboard task-type mean57.0% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank44 | ModelITBOOM_4B_v1Ict Time And Querit | Official leaderboard task-type mean57.0% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank45 | ModelCAF2LLM-v2-1.7BCodefuse Ai | Official leaderboard task-type mean56.6% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank46 | ModelIGgranite-embedding-english-r2Ibm Granite | Official leaderboard task-type mean56.4% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank47 | ModelANgte-Qwen1.5-7B-instructAlibaba Nlp | Official leaderboard task-type mean56.2% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank48 | ModelJIjina-embeddings-v4Jinaai | Official leaderboard task-type mean56.1% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank49 | ModelNOjasper_en_vision_language_v1Novasearch | Official leaderboard task-type mean56.1% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank50 | ModelWHUAE-Large-V1Whereisai | Official leaderboard task-type mean55.9% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank51 | ModelCAF2LLM-0.6BCodefuse Ai | Official leaderboard task-type mean55.7% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank52 | ModelGO | Official leaderboard task-type mean55.7% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank53 | ModelCO | Official leaderboard task-type mean55.7% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank54 | ModelCO | Official leaderboard task-type mean55.7% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank55 | ModelIGgranite-embedding-125m-englishIbm Granite | Official leaderboard task-type mean55.7% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank56 | ModelBAbge-large-en-v1.5Baai | Official leaderboard task-type mean55.4% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank57 | ModelMAmxbai-embed-large-v1Mixedbread Ai | Official leaderboard task-type mean55.4% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank58 | ModelTATarka-Embedding-350M-V1Tarka Air | Official leaderboard task-type mean55.1% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank59 | ModelBIBidirLM-Omni-2.5B-EmbeddingBidirlm | Official leaderboard task-type mean55.1% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank60 | ModelGRGritLM-7BGritlm | Official leaderboard task-type mean54.9% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank61 | ModelSNsnowflake-arctic-embed-sSnowflake | Official leaderboard task-type mean54.9% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank62 | ModelNAnomic-embed-text-v2-moeNomic Ai | Official leaderboard task-type mean54.8% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank63 | ModelBAbge-base-en-v1.5Baai | Official leaderboard task-type mean54.8% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank64 | ModelGO | Official leaderboard task-type mean54.7% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank65 | ModelAVGIST-large-Embedding-v0Avsolatorio | Official leaderboard task-type mean54.5% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank66 | ModelCAF2LLM-v2-0.6BCodefuse Ai | Official leaderboard task-type mean54.3% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank67 | ModelJIjina-embeddings-v3Jinaai | Official leaderboard task-type mean54.3% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank68 | ModelHTKaLM-embedding-multilingual-mini-v1Hit Tmg | Official leaderboard task-type mean54.2% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank69 | ModelIGgranite-embedding-small-english-r2Ibm Granite | Official leaderboard task-type mean53.9% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank70 | ModelBAbge-small-en-v1.5Baai | Official leaderboard task-type mean53.9% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank71 | ModelSASFR-Embedding-2_RSalesforce | Official leaderboard task-type mean53.8% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank72 | ModelAVNoInstruct-small-Embedding-v0Avsolatorio | Official leaderboard task-type mean53.7% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank73 | ModelAVGIST-Embedding-v0Avsolatorio | Official leaderboard task-type mean53.6% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank74 | ModelOP | Official leaderboard task-type mean53.5% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank75 | ModelINmultilingual-e5-large-instructIntfloat | Official leaderboard task-type mean53.5% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank76 | ModelVOvoyage-3Voyageai | Official leaderboard task-type mean53.5% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank77 | ModelCAF2LLM-v2-330MCodefuse Ai | Official leaderboard task-type mean53.3% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank78 | ModelTHgte-largeThenlper | Official leaderboard task-type mean53.3% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank79 | ModelPRmini-gtePrdev | Official leaderboard task-type mean53.2% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank80 | ModelCO | Official leaderboard task-type mean53.2% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank81 | ModelABMedEmbed-small-v0.1Abhinand | Official leaderboard task-type mean52.9% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank82 | ModelNOstella_en_400M_v5Novasearch | Official leaderboard task-type mean52.7% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank83 | ModelSNsnowflake-arctic-embed-xsSnowflake | Official leaderboard task-type mean52.6% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank84 | ModelIGgranite-embedding-311m-multilingual-r2Ibm Granite | Official leaderboard task-type mean52.5% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank85 | ModelGRGritLM-8x7BGritlm | Official leaderboard task-type mean52.5% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank86 | ModelNOstella_en_1.5B_v5Novasearch | Official leaderboard task-type mean52.4% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank87 | ModelVPSearchMap_PreviewVplabs | Official leaderboard task-type mean52.2% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank88 | ModelTEOmniEmbed-v0.1Tevatron | Official leaderboard task-type mean52.2% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank89 | ModelCO | Official leaderboard task-type mean52.1% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank90 | ModelAVGIST-small-Embedding-v0Avsolatorio | Official leaderboard task-type mean52.0% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank91 | ModelMAdeepset-mxbai-embed-de-large-v1Mixedbread Ai | Official leaderboard task-type mean52.0% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank92 | ModelTHgte-baseThenlper | Official leaderboard task-type mean51.9% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank93 | ModelIGgranite-embedding-30m-englishIbm Granite | Official leaderboard task-type mean51.8% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank94 | ModelINstella-base-en-v2Infgrad | Official leaderboard task-type mean51.6% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank95 | ModelINmultilingual-e5-largeIntfloat | Official leaderboard task-type mean51.5% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank96 | ModelTATarka-Embedding-150M-V1Tarka Air | Official leaderboard task-type mean51.5% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank97 | ModelIGgranite-embedding-278m-multilingualIbm Granite | Official leaderboard task-type mean51.4% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank98 | ModelMOmdbr-leaf-mtMongodb | Official leaderboard task-type mean51.4% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank99 | ModelMNLLM2Vec-Mistral-7B-Instruct-v2-mntp-supervisedMcgill Nlp | Official leaderboard task-type mean51.3% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
| Rank100 | ModelHCe5-omni-3BHaon Chen | Official leaderboard task-type mean51.2% | PercentileN/A | Participants208 | EvidenceA | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis mteb(eng, v2) retrieval AI model leaderboard uses descending official leaderboard task-type mean in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Yuan-embedding-2.0-en currently leads MTEB(eng, v2) Retrieval with 70.7%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What MTEB(eng, v2) Retrieval measures and how its scores work.
Direct model-level leaderboard results from MTEB.
Scores are shown in ratio. This benchmark is verified and has an evidence level of A.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about MTEB(eng, v2) Retrieval.
Yuan-embedding-2.0-en is currently ranked first with 70.7%.
Direct model-level leaderboard results from MTEB.
Yes. Higher values rank better for this benchmark.
100 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.