BGE-EN-ICL is an English text embedding model from BAAI (Beijing Academy of Artificial Intelligence), built on a 7B-parameter Mistral architecture. It supports in-context learning: adding a task instruction and a few example query and answer pairs to a query helps it adapt to new retrieval tasks, and it also works zero-shot.
Modalities
In / out price
$0.0125 / $0.0125per 1M
Context
8K
Max output
–
Updated
Oct 22, 2026
Providers
1 routeCompare providers by price, privacy, and speed.
| Private | $0.0125 | $0.0125 | — | 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-EN-ICL.