Qwen3-Embedding-8B

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://ap-1.aieev.cloud/endpoints/qwen3-embedding-8b/v1"
)

response = client.embeddings.create(
    model="qwen/qwen3-embedding-8b",
    input=["Hello, world!", "AirCloud makes deploying models easy."]
)

for item in response.data:
    print(item.index, len(item.embedding))  # 4096 dims per vector

curl https://ap-1.aieev.cloud/endpoints/qwen3-embedding-8b/v1/embeddings \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3-embedding-8b",
    "input": ["Hello, world!", "AirCloud makes deploying models easy."]
  }'

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "YOUR_API_KEY",
  baseURL: "https://ap-1.aieev.cloud/endpoints/qwen3-embedding-8b/v1",
});

const response = await client.embeddings.create({
  model: "qwen/qwen3-embedding-8b",
  input: ["Hello, world!", "AirCloud makes deploying models easy."],
});

response.data.forEach((item) => {
  console.log(item.index, item.embedding.length); // 4096 dims per vector
});