import requests r = requests.post( "https://api.aimlapi.com/v1/embeddings", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "alibaba/qwen-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/qwen-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/qwen-text-embedding-v3","input":"The quick brown fox"}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
The documented pricing caveat is that Qwen Text Embedding v3 includes a free quota of 500,000 tokens, valid for 90 days after Model Studio activation, model release, or application approval, whichever is later.
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Qwen Text Embedding v3 This page | Semantic search and RAG | |||
| Semantic search + RAG | ||||
| Semantic search + RAG |
Qwen Text Embedding v3 has a 8,192 tokens context window.
Qwen Text Embedding v3 takes text as input and returns embedding.
Qwen Text Embedding v3 became available on December 13, 2025.
Qwen Text Embedding v3 is priced at input $0.091 / 1M tokens.
Qwen Text Embedding v3 was built by Alibaba Cloud.
Send a request to https://api.aimlapi.com/v1/embeddings with alibaba/qwen-text-embedding-v3 as the model id.
Yes. Qwen Text Embedding v3 is served through AI/ML API, so the same key and endpoint format used for other models applies.
It supports over 50 languages.
It supports custom output dimensions ranging from 512 to 1024.
Its model ID is alibaba/qwen-text-embedding-v3.
It is suited for semantic search, recommendation systems, and text analysis.
