Qwen Text Embedding v3 API

High-quality text embedding model with support for custom dimensions (512-1024) and over 50 languages. Suitable for semantic search, recommendation systems, and text analysis.
Output
Released
Dec 13, 2025

How to use Qwen Text Embedding v3 API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to alibaba/text-embedding-v3.
import requests

r = requests.post(
    "https://api.aimlapi.com/v1/embeddings",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "alibaba/text-embedding-v3",
      "input": "The quick brown fox"
    },
)
print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/embeddings", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "alibaba/text-embedding-v3",
    "input": "The quick brown fox"
  }),
});
console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/embeddings \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"alibaba/text-embedding-v3","input":"The quick brown fox"}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.

Qwen Text Embedding v3 API Pricing

TypePrice
Input
$0.091 / 1M tokens
Output
tokens

Start building with Qwen Text Embedding v3

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1000+ models, one API.