Qwen: Qwen3 VL Embedding · zenmux

curl https://zenmux.ai/api/v1/embeddings \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen/qwen3-vl-embedding", "input": ["first text", "second text"]}'

import requests

r = requests.post(
    "https://zenmux.ai/api/v1/embeddings",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
      "model": "qwen/qwen3-vl-embedding",
      "input": [
        "first text",
        "second text"
      ]
    },
)
print(r.json())

const r = await fetch("https://zenmux.ai/api/v1/embeddings", {
  method: "POST",
  headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
  body: JSON.stringify({
    "model": "qwen/qwen3-vl-embedding",
    "input": [
      "first text",
      "second text"
    ]
  }),
});
console.log(await r.json());

{
  "model": "qwen/qwen3-vl-embedding",
  "input": [
    "first text",
    "second text"
  ]
}

{
  "object": "list",
  "model": "qwen/qwen3-vl-embedding",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [
        0.0123,
        -0.0456,
        "..."
      ]
    }
  ],
  "usage": {
    "prompt_tokens": 6,
    "total_tokens": 6
  }
}