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| 2 models | intfloatmultilingual-e5-large-instructRemove × | BAAIbge-m3Remove × |
|---|---|---|
| What’s different | The Multilingual-E5 models, initialized from XLM-RoBERTa, support up to 512 tokens per input — any longer text will be silently truncated. To ensure optimal performance, always prefix inputs with “query:”… | BGE-M3 is a versatile text embedding model that supports multi-functionality, multi-linguality, and multi-granularity, allowing it to perform dense retrieval, multi-vector retrieval, and sparse retrieval in… |
| Date | Apr 17, 2025Listed | May 27, 2024Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | See provider quotes | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 0 endpoints → | 1 endpoint → |
Specifications | ||
| Context window | 512 | 8.2K |
| Max output | — | 7.4K |
| Parameters | — | — |
| Open weights | Not reported | Supported |