Text Embedding on MTEB English v2
74.6Mean ScoreQwen3-4B
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Qwen3-4BParams=4B, Dim=25602026.02 | 74.6 | 89.8 | 57.5 | 50.8 | 68.5 | 88.7 | 34.4 | — | 87 | 68.1 | |
| Qwen3-Embedding-4BSize (B)=42025.12 | 74.55 | 89.83 | 57.5 | 50.32 | 68.15 | 88.72 | 35.37 | 87.37 | — | — | |
| Compass-Embedding v4Size (B)=42025.12 | 74.3 | 90.53 | 58.56 | 50.15 | 66.68 | 87.64 | 36.77 | 87.04 | — | — | |
| F2LLM-4BSize (B)=42025.12 | 73.67 | 91.68 | 68.54 | 50.05 | 59.63 | 84.2 | 33.19 | 83.75 | — | — | |
| BGE-Multilingual-Gemma2Size (B)=92025.12 | 73.65 | 88.72 | 58.9 | 48.19 | 61.82 | 84.22 | 37.47 | 85.97 | — | — | |
| jina-embeddings-v5-text-smallParams=677M, Dim=10242026.02 | 71.7 | 90.4 | 54.7 | 49.4 | 60.1 | 88.1 | 31.8 | — | 85 | 65.6 | |
| KaLM-mini-v2.5Params=494M, Dim=8962026.02 | 71.3 | 90.5 | 58.1 | 47.4 | 58.5 | 84.8 | 31.2 | — | 86.6 | 65.3 | |
| KaLM-Multi-Mini-Inst-v2.5Size (B)=0.52025.12 | 71.29 | 90.5 | 58.12 | 47.42 | 58.45 | 84.82 | 31.21 | 86.63 | — | — | |
| jina-embeddings-v5-text-nanoParams=239M, Dim=7682026.02 | 71 | 89.7 | 53.5 | 49.2 | 58.8 | 88.3 | 31.9 | — | 84.7 | 65.2 | |
| Qwen3-0.6B (instr.)Params=596M, Dim=10242026.02 | 70.5 | 84.6 | 54.1 | 48.2 | 61.8 | 86.6 | 33.4 | — | 84.4 | 64.7 | |
| Gemma-300MParams=308M, Dim=7682026.02 | 69.7 | 87.6 | 56.6 | 47.4 | 55.7 | 83.6 | 37.6 | — | 87.3 | 65.1 | |
| BOOMBackbone=Qwen3-4B, Training Data=Eng + Gen2026.02 | 69.63 | 87.28 | 59.02 | 49.73 | 55.72 | 82.17 | 36.44 | — | 83.85 | 64.89 | |
| BLSBackbone=Qwen3-4B, Training Data=General-Full-Data2026.02 | 69.36 | 87.65 | 59.23 | 49.09 | 55.99 | 80.9 | 35.7 | — | 82.31 | 64.41 | |
| BLSBackbone=Qwen3-4B, Training Data=Eng-Text-Data2026.02 | 69.1 | 87.28 | 59.05 | 49.46 | 55.03 | 81.1 | 35.29 | — | 82.69 | 64.27 | |
| Compass-Embedding v3Size (B)=72025.12 | 67.62 | 80.66 | 54.21 | 48.56 | 55.18 | 83.41 | 36.65 | 85.76 | — | — | |
| Text-Embedding-3-Large2025.12 | 67.33 | 79.13 | 48.9 | 48.68 | 57.98 | 81.44 | 34.31 | 85.82 | — | — | |
| gte-Qwen2-1.5B-instructSize=1.5B2026.01 | 67.2 | 85.84 | 53.54 | 49.25 | 50.25 | 82.51 | 33.94 | — | — | — | |
| BOOMBackbone=Qwen3-0.6B, Training Data=Eng + Gen2026.02 | 67.2 | 86.15 | 55.33 | 46.95 | 53.21 | 79.69 | 33.99 | — | 82.06 | 62.48 | |
| Qwen3-0.6B (generic)Params=596M, Dim=10242026.02 | 67 | 72 | 51.8 | 46.2 | 59.8 | 86.6 | 33.4 | — | 84.4 | 62 | |
| GRITLM†Backbone=Mistral-7B, Model Type=LLM-based2026.05 | 66.9 | 84.9 | 54.6 | 48.7 | 55.4 | 75.9 | 36.1 | — | 86.3 | — | |
| OpenAI text-embedding-3-large2026.01 | 66.43 | — | — | — | — | — | — | — | — | — | |
| EmbeddingRWKV-1.4BSize=1.4B2026.01 | 66.41 | 87.52 | 48.16 | 48.22 | 52.43 | 81.04 | 32.73 | — | — | — | |
| LoRABackbone=Mistral-7B, Adaptation Strategy=Fine-tuning2026.05 | 66.32 | 84.36 | 54.28 | 49.21 | 55.24 | 73.98 | 36.31 | — | 85.65 | — | |
| E5-Mistral†Backbone=Mistral-7B, Model Type=LLM-based2026.05 | 66.3 | 84.4 | 54.3 | 49.2 | 55.2 | 74 | 36.3 | — | 85.7 | — | |
| Cohere cohere-embed-multilingual-v3.02026.01 | 66.01 | — | — | — | — | — | — | — | — | — | |
| BLSBackbone=Qwen3-0.6B, Training Data=Eng-Text-Data2026.02 | 65.94 | 86.01 | 54.68 | 45.81 | 50.6 | 78.34 | 31.7 | — | 81.2 | 61.19 | |
| jina-v3Params=572M, Dim=10242026.02 | 65.7 | 85.8 | 47.4 | 47.9 | 54.3 | 85.8 | 32.9 | — | 84 | 62.6 | |
| BLSBackbone=Qwen3-0.6B, Training Data=General-Full-Data2026.02 | 65.62 | 86.15 | 55.05 | 45.55 | 51.24 | 76.37 | 34.29 | — | 78.59 | 61.03 | |
| Multilingual-E5-Large-InstructSize (B)=0.562025.12 | 65.53 | 75.54 | 49.89 | 48.74 | 53.47 | 84.72 | 29.89 | 86.24 | — | — | |
| mult.-e5-l-instr.Params=560M, Dim=10242026.02 | 65.5 | 75.5 | 49.9 | 48.7 | 53.5 | 84.7 | 29.9 | — | 86.2 | 61.2 | |
| PromptEmbedderBackbone=Mistral-7B, Adaptation Strategy=Soft-Prompting Methods2026.05 | 65.23 | 79.75 | 55.16 | 49.77 | 50.42 | 78.26 | 34.77 | — | 84.11 | — | |
| PromptEmbedderBackbone=Mistral-7B2026.05 | 65.2 | 79.8 | 55.2 | 49.8 | 50.4 | 78.3 | 34.8 | — | 84.1 | — | |
| jina-v4Params=3.8B, Dim=20482026.02 | 65.09 | 74.1 | 45.5 | 48.04 | 56.2 | 85.9 | 32 | — | 83.1 | 60.68 | |
| EmbeddingRWKV-0.4BSize=389M2026.01 | 64.86 | 86.21 | 47.78 | 46.92 | 49.42 | 79.58 | 31.37 | — | — | — | |
| GTE-LargeModel Type=Encoder-based2026.05 | 64.8 | 75.5 | 48.2 | 47.8 | 53.3 | 83.3 | 32.9 | — | 85.1 | — | |
| gte-largeSize=335M2026.01 | 64.77 | 75.47 | 48.2 | 47.84 | 53.29 | 83.27 | 32.9 | — | — | — | |
| Text-Embedding-3-Small2025.12 | 64.62 | 77.56 | 47.46 | 47.29 | 53.48 | 81.35 | 32.49 | 85.06 | — | — | |
| LLM2VecModel Type=LLM-based2026.05 | 64.6 | 79.7 | 44.1 | 47.7 | 51.3 | 83.7 | 31.1 | — | 88 | — | |
| LoRABackbone=Qwen2.5-7B, Adaptation Strategy=Fine-tuning2026.05 | 64.18 | 80.1 | 55.26 | 47.49 | 51.1 | 74.71 | 33.21 | — | 84.46 | — | |
| SearchMap-PreviewSize=435M2026.01 | 64.08 | 74.97 | 48.47 | 47.9 | 52.21 | 81.56 | 33.25 | — | — | — | |
| gte-baseSize=109M2026.01 | 63.9 | 75.04 | 47.74 | 47.17 | 51.9 | 82.17 | 30.9 | — | — | — | |
| LoRABackbone=Llama-3.2-3B, Adaptation Strategy=Fine-tuning2026.05 | 63.89 | 80.47 | 51.69 | 47.23 | 48.57 | 77.19 | 34.63 | — | 84.18 | — | |
| PromptEmbedderBackbone=Qwen2.5-7B, Adaptation Strategy=Soft-Prompting Methods2026.05 | 63.89 | 79.88 | 55.03 | 49.73 | 47.88 | 75.7 | 31.32 | — | 83.15 | — | |
| PromptEmbedderBackbone=Llama-3.2-3B, Adaptation Strategy=Soft-Prompting Methods2026.05 | 63.79 | 80.39 | 53.42 | 48.58 | 46.87 | 77.7 | 35.98 | — | 81.3 | — | |
| bilingual-embedding-largeSize=559M2026.01 | 63.77 | 77.17 | 46.53 | 46.25 | 46.86 | 86 | 32.95 | — | — | — | |
| LoRABackbone=Llama-3.2-1B, Adaptation Strategy=Fine-tuning2026.05 | 63.73 | 48.13 | 82.57 | 52.76 | 81.96 | 75.48 | 31.49 | — | 47.71 | — | |
| Prompt-TuningBackbone=Mistral-7B, Adaptation Strategy=Soft-Prompting Methods2026.05 | 63.64 | 78.1 | 53.96 | 48.53 | 47.38 | 78.22 | 36.01 | — | 80.59 | — | |
| snowflake-l-v2Params=568M, Dim=10242026.02 | 63.6 | 73.4 | 44.4 | 47.5 | 58.6 | 78.1 | 33.8 | — | 83 | 59.8 | |
| voyage-4-nanoParams=480M, Dim=20482026.02 | 63.3 | 73.9 | 46.9 | 47.7 | 52.3 | 81.6 | 26.2 | — | 83 | 58.8 | |
| EmbeddingRWKV-0.1BSize=144M2026.01 | 63.06 | 81.01 | 46.21 | 46.07 | 48.06 | 80.3 | 25.13 | — | — | — | |
| granite-embedding-english-r2Size=149M2026.01 | 62.84 | 70.71 | 47.2 | 49.1 | 56.43 | 78.12 | 29.31 | — | — | — | |
| E5-LargeModel Type=Encoder-based2026.05 | 62.8 | 76.4 | 45.2 | 45.7 | 49.3 | 80.7 | 32.3 | — | 86.1 | — | |
| e5-large-v2Size=335M2026.01 | 62.79 | 76.44 | 45.23 | 45.72 | 49.31 | 80.67 | 32.34 | — | — | — | |
| e5-base-v2Size=109M2026.01 | 62.67 | 75.48 | 45.2 | 45.13 | 49.67 | 80.64 | 34.26 | — | — | — | |
| mmlw-e5-largeSize=559M2026.01 | 62.32 | 79.63 | 48.3 | 47.63 | 41.37 | 81.35 | 34.07 | — | — | — | |
| nomic-embed-text-v1.5Size=137M2026.01 | 62.2 | 75.71 | 47.55 | 46.01 | 47.97 | 78.7 | 28.56 | — | — | — | |
| granite-embedding-125m-englishSize=125M2026.01 | 62.08 | 68.29 | 47.18 | 49.35 | 55.65 | 77.56 | 29.34 | — | — | — | |
| snowflake-arctic-embed-lSize=335M2026.01 | 62.04 | 69.59 | 45.7 | 44.71 | 59.04 | 75.42 | 20.38 | — | — | — | |
| mxbai-l-v1Size=335M, Role=Teacher2025.09 | 62 | 79.1 | 47.5 | 48.1 | 55.4 | 84.4 | 32.6 | — | 87.2 | 66.3 | |
| mmlw-roberta-largeSize=434M2026.01 | 61.8 | 79.66 | 47.89 | 47.56 | 39.69 | 81.2 | 34.97 | — | — | — | |
| e5-baseSize=109M2026.01 | 61.79 | 75.2 | 43.77 | 44.86 | 47.7 | 80.7 | 33.38 | — | — | — | |
| snowflake-arctic-embed-m-v1.5Size=109M2026.01 | 61.51 | 70.71 | 44.65 | 45.9 | 58.05 | 72.96 | 29.89 | — | — | — | |
| PromptEmbedderBackbone=Llama-3.2-1B, Adaptation Strategy=Soft-Prompting Methods2026.05 | 61.18 | 41.59 | 77.4 | 50.72 | 76.37 | 76.45 | 32.16 | — | 47.42 | — | |
| mmlw-roberta-baseSize=124M2026.01 | 61.15 | 77.67 | 46.26 | 46.69 | 40.15 | 81.81 | 30.83 | — | — | — | |
| DeBa-v2-xxl*Model Size Category=XL Models, Parameters=750-1565M2025.07 | 60.5 | 71.7 | 44.4 | 46.5 | 47.7 | 78.3 | 30.9 | — | 82.4 | 57.4 | |
| Ettin-Enc-1bModel Size Category=XL Models, Parameters=750-1565M2025.07 | 60.4 | 72.2 | 41.9 | 46.4 | 50.1 | 77.7 | 20.4 | — | 83.3 | 56 | |
| Prompt-TuningBackbone=Llama-3.2-3B, Adaptation Strategy=Soft-Prompting Methods2026.05 | 60.15 | 72.75 | 51.29 | 45.61 | 42.18 | 78.03 | 29.9 | — | 76.21 | — | |
| leaf-mtSize=23M, Evaluation Mode=asymmetric2025.09 | 60.1 | 76.9 | 46.5 | 47.3 | 51.8 | 82.8 | 30.9 | — | 84.5 | 64.1 | |
| jina-embedding-b-en-v1Size=110M2026.01 | 59.76 | 72.06 | 39.95 | 46.98 | 46.38 | 80 | 27.15 | — | — | — | |
| DeBa-v1-xlModel Size Category=XL Models, Parameters=750-1565M2025.07 | 59.5 | 70.8 | 42.5 | 45.7 | 47.2 | 77.1 | 28.6 | — | 82.7 | 56.4 | |
| Ettin-Enc-400mModel Size Category=Large Models, Parameters=305-395M2025.07 | 59.4 | 69.9 | 41.8 | 45.6 | 48.4 | 77.2 | 22.6 | — | 82.6 | 55.5 | |
| leaf-mtSize=23M, Evaluation Mode=standard2025.09 | 59.4 | 76.9 | 46.5 | 46.9 | 47.3 | 82.8 | 30.9 | — | 84.5 | 63 | |
| ModernBERT-largeModel Size Category=Large Models, Parameters=305-395M2025.07 | 58.6 | 69.1 | 41.5 | 45.5 | 47 | 76.5 | 23.5 | — | 82.2 | 55 | |
| Prompt-TuningBackbone=Qwen2.5-7B, Adaptation Strategy=Soft-Prompting Methods2026.05 | 58.38 | 70.74 | 50.71 | 46.95 | 39.37 | 75.19 | 28.04 | — | 76.47 | — | |
| sentence-croissant-alpha-v0.4Size=1B2026.01 | 57.71 | 70.34 | 43.22 | 44.65 | 43.18 | 75.34 | 28.46 | — | — | — | |
| Ettin-Enc-150mModel Size Category=Base Models, Parameters=86-150M2025.07 | 57.7 | 68.6 | 41.5 | 44.7 | 45.7 | 74.9 | 22.6 | — | 80.2 | 54 | |
| BERT-largeModel Size Category=Large Models, Parameters=305-395M2025.07 | 57.2 | 68.3 | 41.5 | 44.3 | 42.9 | 76.1 | 22.5 | — | 81.1 | 53.8 | |
| ModernBERT-baseModel Size Category=Base Models, Parameters=86-150M2025.07 | 57.1 | 67.5 | 41.3 | 44.7 | 43.9 | 75.3 | 25.2 | — | 80.4 | 54 | |
| Ettin-Enc-68mModel Size Category=S Models, Parameters=68-82M2025.07 | 56.1 | 66.6 | 40.1 | 43.3 | 43.1 | 74.2 | 21.7 | — | 79.3 | 52.6 | |
| arctic-embed-xsSize=23M2025.09 | 56.1 | 67 | 42.4 | 45.3 | 52.7 | 76.2 | 28 | — | 81.3 | 59.8 | |
| BERT-baseModel Size Category=Base Models, Parameters=86-150M2025.07 | 56 | 67.2 | 40.4 | 43.1 | 41.2 | 74.8 | 23.1 | — | 80.5 | 52.9 | |
| MiniLM-L6-v2Size=23M2025.09 | 55.9 | 69.3 | 44.9 | 47.1 | 42.9 | 79 | 26 | — | 82.4 | 59 | |
| DistilBERTModel Size Category=S Models, Parameters=68-82M2025.07 | 55.5 | 66.5 | 39.8 | 42.8 | 40.8 | 74.1 | 24 | — | 80.7 | 52.7 | |
| DistilRoBaModel Size Category=S Models, Parameters=68-82M2025.07 | 55.2 | 67.3 | 39.3 | 43.5 | 40 | 74.2 | 19.4 | — | 78.9 | 51.8 | |
| CrossBERTParameters=279M, FLOPs=4.1e19, Steps=207k, Finetuning Protocol=Full Contrastive Finetuning2026.07 | 54.8 | 72.2 | 35.5 | 44.8 | 44.2 | 74.6 | 32 | — | 80.5 | 57 | |
| BERTParameters=239M, FLOPs=6.8e19, Steps=123k, Finetuning Protocol=Full Contrastive Finetuning2026.07 | 54.5 | 67.7 | 39.3 | 43.9 | 45.7 | 75.3 | 28.7 | — | 80.8 | 57.3 | |
| Ettin-Enc-32mModel Size Category=XS Models, Parameters=28-33M2025.07 | 54.2 | 64.2 | 39.6 | 42.6 | 39.7 | 73.2 | 19.9 | — | 77.1 | 50.9 | |
| BERT-smallModel Size Category=XS Models, Parameters=28-33M2025.07 | 54 | 64.7 | 39.6 | 41.7 | 38.1 | 73 | 21.6 | — | 79.4 | 51.1 | |
| MiniLM L12Model Size Category=XS Models, Parameters=28-33M2025.07 | 53.9 | 64.9 | 37.8 | 43.5 | 38.4 | 73.2 | 21.4 | — | 79.8 | 51.3 | |
| CrossBERTParameters=279M, FLOPs=4.1e19, Steps=207k, Finetuning Protocol=Contrastive Finetuning over frozen features2026.07 | 53.6 | 70.4 | 40.8 | 44.1 | 43.9 | 71.7 | 26.7 | — | 77.9 | 56.7 | |
| Ettin-Enc-17mModel Size Category=XXS Models, Parameters=11-25M2025.07 | 52.3 | 63.3 | 39.1 | 42 | 35.6 | 71.6 | 16 | — | 74.8 | 48.9 | |
| Pretend-CoTBackbone=Qwen2.5-7B, Adaptation Strategy=Training-free Discrete Prompting2026.05 | 52.29 | 74.76 | 47.23 | 31.15 | 26.06 | 68.98 | 23.02 | — | 68.71 | — | |
| TinyBERTModel Size Category=XXS Models, Parameters=11-25M2025.07 | 52.1 | 64.6 | 37.4 | 41.9 | 33.3 | 71.9 | 20.6 | — | 78.1 | 49.7 | |
| BERT-miniModel Size Category=XXS Models, Parameters=11-25M2025.07 | 51.8 | 61.7 | 39 | 41.5 | 34.7 | 70.8 | 19.3 | — | 77.8 | 49.2 | |
| Prompt-TuningBackbone=Llama-3.2-1B, Adaptation Strategy=Soft-Prompting Methods2026.05 | 50.9 | 28.49 | 76.03 | 39.66 | 66.97 | 68.17 | 24.89 | — | 41.37 | — | |
| ElectraParameters=258M, FLOPs=7.5e19, Steps=116k, Finetuning Protocol=Full Contrastive Finetuning2026.07 | 50.3 | 62.1 | 27.7 | 48.8 | 34.4 | 72.4 | 29.1 | — | 77.9 | 49 | |
| Pretend-CoTBackbone=Mistral-7B, Adaptation Strategy=Training-free Discrete Prompting2026.05 | 50.19 | 75.49 | 43.14 | 30.19 | 21.12 | 69.07 | 23.33 | — | 67.09 | — | |
| PromptEOLBackbone=Qwen2.5-7B, Adaptation Strategy=Training-free Discrete Prompting2026.05 | 50.04 | 69.65 | 46.13 | 32.78 | 24.48 | 67 | 6.22 | — | 71.36 | — | |
| PromptEOLBackbone=Llama-3.2-3B, Adaptation Strategy=Training-free Discrete Prompting2026.05 | 49.82 | 73.24 | 47.94 | 31.16 | 19.27 | 67.3 | 22.64 | — | 67.24 | — | |
| Pretend-CoTBackbone=Llama-3.2-3B, Adaptation Strategy=Training-free Discrete Prompting2026.05 | 49.18 | 72.32 | 45.75 | 31.81 | 19.33 | 70.62 | 19.05 | — | 57.62 | — |