Embedding V1 · aihubmix
Embedding-V1 is a text representation model based on Baidu's Wenxin large model technology, capable of converting text into numerical vector forms for applications such as text retrieval, information recommendation, and knowledge mining. Embedding-V1 provides an Embeddings interface that generates corresponding vector representations based on the input content. By calling this interface, you can input text into the model and obtain the corresponding vector representations for subsequent text processing and analysis.
Entrada, $/1M $0.068
Saída, $/1M —
Alertas de preço
API
API compatível com OpenAI: os SDKs oficiais da OpenAI funcionam com esta URL base. Substitua YOUR_API_KEY pela sua chave do provedor.
| URL base da API | |
|---|---|
| Endpoint | |
| ID do modelo | |
curl
curl https://aihubmix.com/api/v1/embeddings \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "embedding-v1", "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": "embedding-v1",
"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": "embedding-v1",
"input": [
"first text",
"second text"
]
}),
});
console.log(await r.json());Requisição (JSON)
{
"model": "embedding-v1",
"input": [
"first text",
"second text"
]
}Resposta (JSON)
{
"object": "list",
"model": "embedding-v1",
"data": [
{
"object": "embedding",
"index": 0,
"embedding": [
0.0123,
-0.0456,
"..."
]
}
],
"usage": {
"prompt_tokens": 6,
"total_tokens": 6
}
}O endereço vem da lista de modelos do provedor; confira na documentação dele.
Source: AI Rate Card, https://airatecard.com/pt/c/offer%3Aaihubmix%7Cembedding-v1, prices checked 2026-11-04; seller's page: https://aihubmix.com
Dados técnicos
ID: offer:aihubmix|embedding-v1