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| 3 models | intfloatIntfloat: E5-Large-v2Remove × | Unknowncodestral-embedRemove × | intfloatIntfloat: Multilingual-E5-LargeRemove × |
|---|---|---|---|
| What’s different | The e5-large-v2 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-accuracy semantic embeddings optimized for retrieval, semantic… | 8.2K context | The multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized… |
| Date | Nov 22, 2023Listed | Oct 16, 2026Discovered | Jun 4, 2024Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.15 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rate | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 1 endpoint → | 1 endpoint → | 1 endpoint → |
Specifications | |||
| Context window | 512 | 8.2K | 512 |
| Max output | 460 | — | 460 |
| Parameters | — | — | — |
| Open weights | Supported | Not reported | Supported |