reranking 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 mean53.3% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank02 | ModelKLQZhou-EmbeddingKingsoft Llm | Official leaderboard task-type mean51.8% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank03 | ModelAC | Official leaderboard task-type mean51.6% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank04 | ModelJCingot-8b-r3Jcorners | Official leaderboard task-type mean50.9% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank05 | ModelAC | Official leaderboard task-type mean50.8% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank06 | ModelSESeed1.5-Embedding | Official leaderboard task-type mean50.7% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank07 | ModelINJasper-Token-Compression-600MInfgrad | Official leaderboard task-type mean50.6% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank08 | ModelANgte-Qwen2-7B-instructAlibaba Nlp | Official leaderboard task-type mean50.5% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank09 | ModelCAF2LLM-v2-14BCodefuse Ai | Official leaderboard task-type mean50.3% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank10 | ModelHCspeed-embedding-7b-instructHaon Chen | Official leaderboard task-type mean50.3% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank11 | ModelBY | Official leaderboard task-type mean50.3% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank12 | ModelCAF2LLM-v2-8BCodefuse Ai | Official leaderboard task-type mean50.2% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank13 | ModelNOstella_en_1.5B_v5Novasearch | Official leaderboard task-type mean50.2% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank14 | ModelSASFR-Embedding-MistralSalesforce | Official leaderboard task-type mean50.2% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank15 | ModelVOvoyage-large-2-instructVoyageai | Official leaderboard task-type mean50.1% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank16 | ModelCAF2LLM-v2-4BCodefuse Ai | Official leaderboard task-type mean50.1% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank17 | ModelCAF2LLM-4BCodefuse Ai | Official leaderboard task-type mean50.0% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank18 | ModelNOjasper_en_vision_language_v1Novasearch | Official leaderboard task-type mean50.0% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank19 | ModelCAF2LLM-1.7BCodefuse Ai | Official leaderboard task-type mean49.8% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank20 | ModelINe5-mistral-7b-instructIntfloat | Official leaderboard task-type mean49.8% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank21 | ModelASGiga-Embeddings-instructAi Sage | Official leaderboard task-type mean49.7% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank22 | ModelNV | Official leaderboard task-type mean49.6% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank23 | ModelNOstella_en_400M_v5Novasearch | Official leaderboard task-type mean49.6% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank24 | ModelGRGritLM-7BGritlm | Official leaderboard task-type mean49.6% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank25 | ModelITICT-TIME-and-Querit-embedding-v1Ict Time And Querit | Official leaderboard task-type mean49.5% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank26 | ModelKINano-Em1-0.6B-v2.1Kitefishai | Official leaderboard task-type mean49.5% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank27 | ModelLALinq-Embed-MistralLinq Ai Research | Official leaderboard task-type mean49.4% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank28 | ModelJIjina-embeddings-v5-omni-smallJinaai | Official leaderboard task-type mean49.4% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank29 | ModelJIjina-embeddings-v5-text-smallJinaai | Official leaderboard task-type mean49.4% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank30 | ModelIGgranite-embedding-125m-englishIbm Granite | Official leaderboard task-type mean49.4% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank31 | ModelITBOOM_4B_v1Ict Time And Querit | Official leaderboard task-type mean49.3% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank32 | ModelANgte-Qwen2-1.5B-instructAlibaba Nlp | Official leaderboard task-type mean49.2% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank33 | ModelCAF2LLM-v2-1.7BCodefuse Ai | Official leaderboard task-type mean49.2% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank34 | ModelJIjina-embeddings-v5-omni-nanoJinaai | Official leaderboard task-type mean49.2% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank35 | ModelJIjina-embeddings-v5-text-nanoJinaai | Official leaderboard task-type mean49.2% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank36 | ModelGRGritLM-8x7BGritlm | Official leaderboard task-type mean49.2% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank37 | ModelQUQuerit-4BQuerit | Official leaderboard task-type mean49.2% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank38 | ModelNV | Official leaderboard task-type mean49.2% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank39 | ModelANLGAI-Embedding-PreviewAnnamodels | Official leaderboard task-type mean49.1% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank40 | ModelIGgranite-embedding-english-r2Ibm Granite | Official leaderboard task-type mean49.1% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank41 | ModelTEConan-embedding-v2Tencentbac | Official leaderboard task-type mean49.1% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank42 | ModelANgme-Qwen2-VL-7B-InstructAlibaba Nlp | Official leaderboard task-type mean49.0% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank43 | ModelSASFR-Embedding-2_RSalesforce | Official leaderboard task-type mean49.0% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank44 | ModelMNLLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervisedMcgill Nlp | Official leaderboard task-type mean48.9% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank45 | ModelGO | Official leaderboard task-type mean48.8% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank46 | ModelAVGIST-large-Embedding-v0Avsolatorio | Official leaderboard task-type mean48.8% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank47 | ModelINmultilingual-e5-large-instructIntfloat | Official leaderboard task-type mean48.7% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank48 | ModelYILENS-d4000Yibinlei | Official leaderboard task-type mean48.7% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank49 | ModelYILENS-d8000Yibinlei | Official leaderboard task-type mean48.6% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank50 | ModelW6b1ade-embedW601Sxs | Official leaderboard task-type mean48.6% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank51 | ModelGO | Official leaderboard task-type mean48.6% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank52 | ModelGO | Official leaderboard task-type mean48.5% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank53 | ModelSTall-mpnet-base-v2Sentence Transformers | Official leaderboard task-type mean48.4% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank54 | ModelZAZeta-Alpha-E5-MistralZeta Alpha Ai | Official leaderboard task-type mean48.4% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank55 | ModelLLember-v1Llmrails | Official leaderboard task-type mean48.4% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank56 | ModelWHUAE-Large-V1Whereisai | Official leaderboard task-type mean48.4% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank57 | ModelGRGeoEmbeddingGeogpt Research Project | Official leaderboard task-type mean48.3% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank58 | ModelVOvoyage-3-m-expVoyageai | Official leaderboard task-type mean48.3% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank59 | ModelQUQueritQuerit | Official leaderboard task-type mean48.3% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank60 | ModelBAbge-large-en-v1.5Baai | Official leaderboard task-type mean48.3% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank61 | ModelBAbge-multilingual-gemma2Baai | Official leaderboard task-type mean48.2% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank62 | ModelAC | Official leaderboard task-type mean48.2% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank63 | ModelMAmxbai-embed-large-v1Mixedbread Ai | Official leaderboard task-type mean48.1% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank64 | ModelJIjina-embeddings-v3Jinaai | Official leaderboard task-type mean47.9% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank65 | ModelVPSearchMap_PreviewVplabs | Official leaderboard task-type mean47.9% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank66 | ModelCAF2LLM-0.6BCodefuse Ai | Official leaderboard task-type mean47.9% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank67 | ModelBAbge-en-iclBaai | Official leaderboard task-type mean47.9% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank68 | ModelTHgte-largeThenlper | Official leaderboard task-type mean47.8% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank69 | ModelBIBidirLM-Omni-2.5B-EmbeddingBidirlm | Official leaderboard task-type mean47.8% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank70 | ModelMAmxbai-embed-2d-large-v1Mixedbread Ai | Official leaderboard task-type mean47.8% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank71 | ModelTATarka-Embedding-350M-V1Tarka Air | Official leaderboard task-type mean47.8% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank72 | ModelMNLLM2Vec-Mistral-7B-Instruct-v2-mntp-supervisedMcgill Nlp | Official leaderboard task-type mean47.7% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank73 | ModelCAF2LLM-v2-0.6BCodefuse Ai | Official leaderboard task-type mean47.7% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank74 | ModelSDmmlw-e5-largeSdadas | Official leaderboard task-type mean47.6% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank75 | ModelANgte-modernbert-baseAlibaba Nlp | Official leaderboard task-type mean47.6% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank76 | ModelIGgranite-embedding-small-english-r2Ibm Granite | Official leaderboard task-type mean47.6% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank77 | ModelSDmmlw-roberta-largeSdadas | Official leaderboard task-type mean47.6% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank78 | ModelSTall-MiniLM-L12-v2Sentence Transformers | Official leaderboard task-type mean47.5% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank79 | ModelAVGIST-Embedding-v0Avsolatorio | Official leaderboard task-type mean47.5% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank80 | ModelIGgranite-embedding-30m-englishIbm Granite | Official leaderboard task-type mean47.5% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank81 | ModelBAbge-large-enBaai | Official leaderboard task-type mean47.5% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank82 | ModelGO | Official leaderboard task-type mean47.5% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank83 | ModelSNsnowflake-arctic-embed-l-v2.0Snowflake | Official leaderboard task-type mean47.5% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank84 | ModelGO | Official leaderboard task-type mean47.4% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank85 | ModelKEKaLM-embedding-multilingual-mini-instruct-v2.5Kalm Embedding | Official leaderboard task-type mean47.4% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank86 | ModelVOvoyage-multilingual-2Voyageai | Official leaderboard task-type mean47.4% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank87 | ModelCO | Official leaderboard task-type mean47.4% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank88 | ModelAVGIST-small-Embedding-v0Avsolatorio | Official leaderboard task-type mean47.3% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank89 | ModelINstella-base-en-v2Infgrad | Official leaderboard task-type mean47.3% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank90 | ModelMOmdbr-leaf-mtMongodb | Official leaderboard task-type mean47.3% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank91 | ModelAM | Official leaderboard task-type mean47.3% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank92 | ModelABMedEmbed-small-v0.1Abhinand | Official leaderboard task-type mean47.2% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank93 | ModelCO | Official leaderboard task-type mean47.2% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank94 | ModelTHgte-baseThenlper | Official leaderboard task-type mean47.2% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank95 | ModelSTall-MiniLM-L6-v2Sentence Transformers | Official leaderboard task-type mean47.1% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank96 | ModelBRslx-v0.1Brahmairesearch | Official leaderboard task-type mean47.1% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank97 | ModelAVGIST-all-MiniLM-L6-v2Avsolatorio | Official leaderboard task-type mean47.1% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank98 | ModelHTKaLM-embedding-multilingual-mini-instruct-v2Hit Tmg | Official leaderboard task-type mean47.1% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank99 | ModelANgme-Qwen2-VL-2B-InstructAlibaba Nlp | Official leaderboard task-type mean47.0% | PercentileN/A | Participants237 | EvidenceA | Evaluated |
| Rank100 | ModelAVNoInstruct-small-Embedding-v0Avsolatorio | Official leaderboard task-type mean47.0% | PercentileN/A | Participants237 | 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) reranking 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) Reranking with 53.3%. 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) Reranking 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) Reranking.
Yuan-embedding-2.0-en is currently ranked first with 53.3%.
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.