# Baai: bge-large-en-v1.5

- Model id: `baai/bge-large-en-v1.5`
- Served by: -
- List price per 1M tokens, input, from: -, with 0% platform fee. A request is billed at the list price of the host that served it.
- Context: 512
- Prices read 2026-11-15 09:33 UTC
- Page: https://plaingateway.com/models/baai/bge-large-en-v1.5

The bge-large-en-v1.5 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-fidelity semantic embeddings optimized for semantic search, document retrieval, and downstream NLP tasks...

## Hosts

| Host | Endpoint | Input /M | Cache read /M | Context | Served |
|---|---|---|---|---|---|
| DeepInfra | `deepinfra/us` | $0.01 input | - | 512 | no |

## First request

```sh
curl https://api.plaingateway.com/api/v1/embeddings \
  -H "Authorization: Bearer $PLAINGATEWAY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "baai/bge-large-en-v1.5", "input": "The quick brown fox"}'
```

Sign up at https://plaingateway.com/signup (no card), create a key, send a test call, and add credits when you want more. New accounts may get a small starting credit. The whole bootstrap for agents: https://plaingateway.com/llms.txt