MTEB EnglishFinance3Retrieval
34 models with a score. Leader: gemini-embedding-001 with 83.3.
| Benchmark profile | |
|---|---|
| Task | Retrieval (en) |
| Metric | nDCG@10 |
| Direction | ↑ higher is better |
| Limitation | Ein Wert gilt fuer die gemessene Modellrevision und die volle Vektorlaenge; gekuerzte Laengen sind nicht gemessen (R-MESS). |
| Source | huggingface.co |
| Licence | CC0 — MTEB-Ergebnisse (embeddings-benchmark/results) |
Ranking (34)
No entry matches the filter.
| Model | Rank | Score | Developer | EU processing: InputEU in | EU processing: OutputEU out | all providers: Inputall in | all providers: Outputall out | Open weights | GPU memory (4-bit, derived)GPU memory |
|---|---|---|---|---|---|---|---|---|---|
| gemini-embedding-001 | 1 | 83.3 | – | – | €0.067 | – | – no | – | |
| Voyage 4 large | 2 | 82.8 | Voyage AI | – | – | – | – | – no | – |
| Voyage 4 | 3 | 81.4 | Voyage AI | – | – | – | – | – no | – |
| text-embedding-005 | 4 | 80.2 | – | – | – | – | – no | – | |
| text-embedding-004 | 5 | 80 | – | – | – | – | – no | – | |
| Qwen3 Embedding 8B | 6 | 78.1 | Alibaba Cloud | €0.009 | – | €0.009 | – | ✓ yes | from 9 GB |
| voyage-3.5 | 7 | 77.7 | Voyage AI | – | – | – | – | – no | – |
| Voyage 4 lite | 8 | 76.4 | Voyage AI | – | – | – | – | – no | – |
| text-embedding-3-large | 9 | 74.8 | OpenAI | €0.13 | – | €0.13 | – | – no | – |
| E5-Mistral-7B | 10 | 74.5 | Microsoft | €0.02 | – | €0.02 | – | ✓ yes | from 8 GB |
| all-mpnet-base-v2 | 11 | 73.66 | – | – | – | €0.0045 | – | ✓ yes | from 5 GB |
| Cohere Embed 4 | 12 | 73.1 | Cohere | – | – | €0.11 | – | – no | – |
| bge-large-en-v1.5 | 13 | 69.1 | BAAI | – | – | €0.009 | – | ✓ yes | from 5 GB |
| mxbai-embed-large-v1 | 14 | 68.9 | Mixedbread | – | – | – | – | ✓ yes | from 5 GB |
| snowflake-arctic-embed-l-v2.0 | 15 | 67.5 | Snowflake | – | – | – | – | ✓ yes | from 5 GB |
| text-embedding-3-small | 16 | 67.4 | OpenAI | €0.02 | – | €0.02 | – | – no | – |
| gte-multilingual-base | 17 | 67.3 | Alibaba Cloud | – | – | – | – | ✓ yes | from 5 GB |
| snowflake-arctic-embed-m-v2.0 | 18 | 67.1 | Snowflake | – | – | €0.036 | – | ✓ yes | from 5 GB |
| multilingual-e5-large-instruct | 19 | 66.8 | Microsoft | €0.03 | €0.02 | €0.009 | – | ✓ yes | from 5 GB |
| BGE-M3 | 20 | 65.9 | BAAI | €0.0082 | – | €0.0082 | – | ✓ yes | from 5 GB |
| Qwen3-Embedding-0.6B | 21 | 65.6 | Alibaba Cloud | – | – | €0.011 | – | ✓ yes | from 5 GB |
| bge-base-en-v1.5 | 22 | 63.7 | BAAI | – | – | €0.0045 | – | ✓ yes | from 5 GB |
| granite-embedding-311m-multilingual-r2 | 22 | 63.7 | IBM | – | – | – | – | ✓ yes | from 5 GB |
| harrier-oss-v1-270m | 24 | 62.1 | Microsoft | – | – | – | – | ✓ yes | from 5 GB |
| bekko-embedding-v1-a25m | 25 | 61.8 | hotchpotch | – | – | – | – | ✓ yes | from 5 GB |
| nomic-embed-text-v2-moe | 26 | 61.1 | Nomic AI | – | – | – | – | ✓ yes | from 5 GB |
| All MiniLM L12 v2 | 27 | 61.05 | – | – | – | €0.0045 | – | ✓ yes | from 5 GB |
| cohere-embed-multilingual-v3.0 | 28 | 61 | Cohere | – | – | €0.09 | – | – no | – |
| all-MiniLM-L6-v2 | 29 | 60.5 | – | – | – | €0.0045 | – | ✓ yes | from 5 GB |
| granite-embedding-97m-multilingual-r2 | 30 | 57.9 | IBM | – | – | – | – | ✓ yes | from 5 GB |
| bekko-embedding-v1-a8m | 31 | 55.6 | hotchpotch | – | – | – | – | ✓ yes | from 5 GB |
| multilingual-e5-small | 32 | 54.94 | – | – | €0.0067 | – | ✓ yes | from 5 GB | |
| Cohere Embed 3 Model - English | 33 | 53.45 | Cohere | – | – | €0.09 | – | – | – |
| text2vec-base-chinese | 34 | 12.8 | – | – | – | €0.0045 | – | ✓ yes | from 5 GB |
Equal scores share a rank. When filtering, the rank stays the position in the whole list. GPU memory “from …” is a lower bound (parameters × 0.55 GB + 4 GB). Prices: € per 1M tokens. Source: providers' pricing pages, read and checked by searchit. As of 7 Nov 2026.
Scores: MTEB EnglishFinance3Retrieval, CC0 — MTEB-Ergebnisse (embeddings-benchmark/results). Taken unchanged from the source.