BGE-M3 is a multilingual text embedding model from BAAI (Beijing Academy of Artificial Intelligence), built from XLM-RoBERTa-large. It supports more than 100 languages and inputs up to 8,192 tokens, and one model provides dense, sparse (lexical) and multi-vector retrieval, producing 1,024-dimensional dense embeddings.
Modalities
In / out price
$0.15 / $0.60per 1M
Context
8K
Max output
–
Updated
Oct 22, 2026
Providers
1 routeCompare providers by price, privacy, and speed.
| Private | $0.15 | $0.60 | — | 8K | – | — | — |
Privacy
2 / 4Private routing
Private tier
- Anonymous
- Private
- TEE
- E2EE
Prompt and response content is not retained after the request. Request content is visible to the inference runtime while it is being processed. Learn more
Features
1Embeddings
Uptime
FAQ
Common questions about BGE-M3.