Side by side
See the difference.
Scores, capabilities and costs for the models you’re considering.
Scroll to compare models →
| 2 models | intfloatIntfloat: Multilingual-E5-LargeRemove × | BAAIbge-m3-multiRemove × |
|---|---|---|
| What’s different | 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… | BGE-M3 is a multilingual text embedding model developed by BAAI, distinguished by its Multi-Linguality (supporting 100+ languages), Multi-Functionality (unified dense, multi-vector, and sparse retrieval),… |
| Date | Jun 4, 2024Listed | Feb 28, 2025Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | See provider quotes |
| Provider endpoints | 1 endpoint → | 0 endpoints → |
Specifications | ||
| Context window | 512 | 512 |
| Max output | 460 | — |
| Parameters | — | — |
| Open weights | Supported | Not reported |