AI Rate CardBge Large En · aihubmix
bge-large-en, open-sourced by the Beijing Academy of Artificial Intelligence (BAAI), is currently the most powerful vector representation model for Chinese tasks, with its semantic representation capabilities comprehensively surpassing those of similar open-source models.
Input, $/1M $0.068
Output, $/1M $0.068
Price alerts
API
OpenAI-compatible API: the official OpenAI SDKs work with this base URL. Replace YOUR_API_KEY with your key from the provider.
| API base URL | |
|---|---|
| Endpoint | |
| Model id | |
curl
curl https://aihubmix.com/api/v1/embeddings \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "bge-large-en", "input": ["first text", "second text"]}'Python
import requests
r = requests.post(
"https://aihubmix.com/api/v1/embeddings",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={
"model": "bge-large-en",
"input": [
"first text",
"second text"
]
},
)
print(r.json())JavaScript
const r = await fetch("https://aihubmix.com/api/v1/embeddings", {
method: "POST",
headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
body: JSON.stringify({
"model": "bge-large-en",
"input": [
"first text",
"second text"
]
}),
});
console.log(await r.json());Request (JSON)
{
"model": "bge-large-en",
"input": [
"first text",
"second text"
]
}Response (JSON)
{
"object": "list",
"model": "bge-large-en",
"data": [
{
"object": "embedding",
"index": 0,
"embedding": [
0.0123,
-0.0456,
"..."
]
}
],
"usage": {
"prompt_tokens": 6,
"total_tokens": 6
}
}The address is taken from the provider's model list; check it against the provider's documentation.
Source: AI Rate Card, https://airatecard.com/en/c/offer%3Aaihubmix%7Cbge-large-en, prices checked 2026-11-04; seller's page: https://aihubmix.com
Technical details
ID: offer:aihubmix|bge-large-en