classification 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 | ModelTEConan-embedding-v2Tencentbac | Official leaderboard task-type mean92.2% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank02 | ModelJCingot-8b-r3Jcorners | Official leaderboard task-type mean92.1% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank03 | ModelVOvoyage-3-m-expVoyageai | Official leaderboard task-type mean90.8% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank04 | ModelKLQZhou-EmbeddingKingsoft Llm | Official leaderboard task-type mean90.7% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank05 | ModelINJasper-Token-Compression-600MInfgrad | Official leaderboard task-type mean90.3% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank06 | ModelANLGAI-Embedding-PreviewAnnamodels | Official leaderboard task-type mean89.3% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank07 | ModelSASFR-Embedding-2_RSalesforce | Official leaderboard task-type mean89.3% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank08 | ModelNOjasper_en_vision_language_v1Novasearch | Official leaderboard task-type mean89.2% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank09 | ModelBAbge-en-iclBaai | Official leaderboard task-type mean89.2% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank10 | ModelAC | Official leaderboard task-type mean89.0% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank11 | ModelGO | Official leaderboard task-type mean88.9% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank12 | ModelCAF2LLM-v2-14BCodefuse Ai | Official leaderboard task-type mean88.9% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank13 | ModelCAF2LLM-v2-8BCodefuse Ai | Official leaderboard task-type mean88.8% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank14 | ModelBY | Official leaderboard task-type mean88.7% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank15 | ModelKINano-Em1-0.6B-v2.1Kitefishai | Official leaderboard task-type mean88.7% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank16 | ModelYILENS-d8000Yibinlei | Official leaderboard task-type mean88.7% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank17 | ModelNOstella_en_1.5B_v5Novasearch | Official leaderboard task-type mean88.7% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank18 | ModelSESeed1.5-Embedding | Official leaderboard task-type mean88.6% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank19 | ModelCAF2LLM-v2-1.7BCodefuse Ai | Official leaderboard task-type mean88.6% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank20 | ModelKEKaLM-embedding-multilingual-mini-instruct-v2.5Kalm Embedding | Official leaderboard task-type mean88.6% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank21 | ModelYILENS-d4000Yibinlei | Official leaderboard task-type mean88.5% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank22 | ModelAC | Official leaderboard task-type mean88.4% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank23 | ModelASGiga-Embeddings-instructAi Sage | Official leaderboard task-type mean88.4% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank24 | ModelCAF2LLM-v2-4BCodefuse Ai | Official leaderboard task-type mean88.4% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank25 | ModelNV | Official leaderboard task-type mean87.9% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank26 | ModelCAF2LLM-v2-0.6BCodefuse Ai | Official leaderboard task-type mean87.9% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank27 | ModelJIjina-embeddings-v5-omni-smallJinaai | Official leaderboard task-type mean87.9% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank28 | ModelJIjina-embeddings-v5-text-smallJinaai | Official leaderboard task-type mean87.9% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank29 | ModelCAF2LLM-4BCodefuse Ai | Official leaderboard task-type mean87.7% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank30 | ModelNOstella_en_400M_v5Novasearch | Official leaderboard task-type mean87.7% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank31 | ModelHTKaLM-embedding-multilingual-mini-instruct-v2Hit Tmg | Official leaderboard task-type mean87.5% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank32 | ModelGO | Official leaderboard task-type mean87.4% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank33 | ModelJIjina-embeddings-v5-omni-nanoJinaai | Official leaderboard task-type mean87.4% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank34 | ModelJIjina-embeddings-v5-text-nanoJinaai | Official leaderboard task-type mean87.4% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank35 | ModelBAbge-multilingual-gemma2Baai | Official leaderboard task-type mean87.4% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank36 | ModelANgte-Qwen2-7B-instructAlibaba Nlp | Official leaderboard task-type mean87.2% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank37 | ModelCAF2LLM-1.7BCodefuse Ai | Official leaderboard task-type mean87.1% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank38 | ModelCAF2LLM-v2-330MCodefuse Ai | Official leaderboard task-type mean86.9% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank39 | ModelGO | Official leaderboard task-type mean86.8% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank40 | ModelGO | Official leaderboard task-type mean86.8% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank41 | ModelANgte-Qwen2-1.5B-instructAlibaba Nlp | Official leaderboard task-type mean86.7% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank42 | ModelITICT-TIME-and-Querit-embedding-v1Ict Time And Querit | Official leaderboard task-type mean86.6% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank43 | ModelITBOOM_4B_v1Ict Time And Querit | Official leaderboard task-type mean86.5% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank44 | ModelVOvoyage-large-2-instructVoyageai | Official leaderboard task-type mean86.5% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank45 | ModelTATarka-Embedding-350M-V1Tarka Air | Official leaderboard task-type mean86.2% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank46 | ModelGRGeoEmbeddingGeogpt Research Project | Official leaderboard task-type mean86.1% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank47 | ModelCAF2LLM-0.6BCodefuse Ai | Official leaderboard task-type mean86.0% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank48 | ModelLALinq-Embed-MistralLinq Ai Research | Official leaderboard task-type mean85.7% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank49 | ModelANgme-Qwen2-VL-7B-InstructAlibaba Nlp | Official leaderboard task-type mean85.7% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank50 | ModelGO | Official leaderboard task-type mean85.6% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank51 | ModelNV | Official leaderboard task-type mean85.6% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank52 | ModelSTgtr-t5-largeSentence Transformers | Official leaderboard task-type mean85.3% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank53 | ModelSTsentence-t5-baseSentence Transformers | Official leaderboard task-type mean85.2% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank54 | ModelAVNoInstruct-small-Embedding-v0Avsolatorio | Official leaderboard task-type mean85.1% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank55 | ModelSTsentence-t5-largeSentence Transformers | Official leaderboard task-type mean85.0% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank56 | ModelZAZeta-Alpha-E5-MistralZeta Alpha Ai | Official leaderboard task-type mean84.8% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank57 | ModelINmultilingual-e5-largeIntfloat | Official leaderboard task-type mean84.7% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank58 | ModelANgte-Qwen1.5-7B-instructAlibaba Nlp | Official leaderboard task-type mean84.7% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank59 | ModelCAF2LLM-v2-160MCodefuse Ai | Official leaderboard task-type mean84.6% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank60 | ModelHTKaLM-embedding-multilingual-mini-instruct-v1.5Hit Tmg | Official leaderboard task-type mean84.6% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank61 | ModelSASFR-Embedding-MistralSalesforce | Official leaderboard task-type mean84.5% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank62 | ModelAC | Official leaderboard task-type mean84.5% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank63 | ModelJIjina-embeddings-v2-small-enJinaai | Official leaderboard task-type mean84.4% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank64 | ModelJXcde-small-v2Jxm | Official leaderboard task-type mean84.3% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank65 | ModelGRGritLM-7BGritlm | Official leaderboard task-type mean84.3% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank66 | ModelANgte-multilingual-baseAlibaba Nlp | Official leaderboard task-type mean84.3% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank67 | ModelMNLLM2Vec-Llama-2-7b-chat-hf-mntp-supervisedMcgill Nlp | Official leaderboard task-type mean84.2% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank68 | ModelBIBidirLM-Omni-2.5B-EmbeddingBidirlm | Official leaderboard task-type mean84.2% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank69 | ModelINe5-mistral-7b-instructIntfloat | Official leaderboard task-type mean84.1% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank70 | ModelJIjina-embeddings-v3Jinaai | Official leaderboard task-type mean84.0% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank71 | ModelJXcde-small-v1Jxm | Official leaderboard task-type mean84.0% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank72 | ModelTATarka-Embedding-150M-V1Tarka Air | Official leaderboard task-type mean84.0% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank73 | ModelMNLLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervisedMcgill Nlp | Official leaderboard task-type mean84.0% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank74 | ModelMNLLM2Vec-Mistral-7B-Instruct-v2-mntp-supervisedMcgill Nlp | Official leaderboard task-type mean83.9% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank75 | ModelLLember-v1Llmrails | Official leaderboard task-type mean83.7% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank76 | ModelKINano-Em1-0.6B-v2Kitefishai | Official leaderboard task-type mean83.5% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank77 | ModelHTKaLM-embedding-multilingual-mini-instruct-v1Hit Tmg | Official leaderboard task-type mean83.5% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank78 | ModelANgte-base-en-v1.5Alibaba Nlp | Official leaderboard task-type mean83.3% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank79 | ModelANgte-modernbert-baseAlibaba Nlp | Official leaderboard task-type mean83.3% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank80 | ModelBAbge-large-enBaai | Official leaderboard task-type mean83.3% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank81 | ModelWHUAE-Large-V1Whereisai | Official leaderboard task-type mean83.2% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank82 | ModelIZudever-bloom-1b1Izhx | Official leaderboard task-type mean83.2% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank83 | ModelIEYuan-embedding-2.0-enIeityuan | Official leaderboard task-type mean83.2% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank84 | ModelMAmxbai-embed-large-v1Mixedbread Ai | Official leaderboard task-type mean83.1% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank85 | ModelCAF2LLM-v2-80MCodefuse Ai | Official leaderboard task-type mean83.1% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank86 | ModelSTall-mpnet-base-v2Sentence Transformers | Official leaderboard task-type mean83.0% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank87 | ModelJIjina-embedding-b-en-v1Jinaai | Official leaderboard task-type mean83.0% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank88 | ModelW6b1ade-embedW601Sxs | Official leaderboard task-type mean83.0% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank89 | ModelINstella-base-en-v2Infgrad | Official leaderboard task-type mean82.9% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank90 | ModelANgme-Qwen2-VL-2B-InstructAlibaba Nlp | Official leaderboard task-type mean82.9% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank91 | ModelAVGIST-large-Embedding-v0Avsolatorio | Official leaderboard task-type mean82.8% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank92 | ModelCO | Official leaderboard task-type mean82.8% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank93 | ModelBAbge-large-en-v1.5Baai | Official leaderboard task-type mean82.7% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank94 | ModelCO | Official leaderboard task-type mean82.7% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank95 | ModelBAbge-base-enBaai | Official leaderboard task-type mean82.7% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank96 | ModelGRGritLM-8x7BGritlm | Official leaderboard task-type mean82.6% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank97 | ModelSDmmlw-e5-largeSdadas | Official leaderboard task-type mean82.6% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank98 | ModelSTall-MiniLM-L12-v2Sentence Transformers | Official leaderboard task-type mean82.5% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank99 | ModelSDmmlw-roberta-largeSdadas | Official leaderboard task-type mean82.4% | PercentileN/A | Participants253 | EvidenceA | Evaluated |
| Rank100 | ModelBRslx-v0.1Brahmairesearch | Official leaderboard task-type mean82.4% | PercentileN/A | Participants253 | 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) classification 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
Conan-embedding-v2 currently leads MTEB(eng, v2) Classification with 92.2%. 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) Classification 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) Classification.
Conan-embedding-v2 is currently ranked first with 92.2%.
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.