import requests r = requests.post( "https://api.aimlapi.com/v1/embeddings", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "alibaba/text-embedding-v4", "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-v4", "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-v4","input":"The quick brown fox"}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Qwen Text Embedding v4 This page | Semantic search + RAG | |||
| Semantic search + RAG | ||||
| Semantic search + RAG | ||||
| Semantic search + RAG |
Qwen Text Embedding v4 takes text as input and returns embedding.
Qwen Text Embedding v4 became available on December 13, 2025.
Qwen Text Embedding v4 is priced at input $0.091 / 1M tokens, output $0.074 / 1M tokens.
Qwen Text Embedding v4 was built by Alibaba Cloud.
Send a request to https://api.aimlapi.com/v1/embeddings with alibaba/text-embedding-v4 as the model id.
Yes. Qwen Text Embedding v4 is served through AI/ML API, so the same key and endpoint format used for other models applies.
Qwen Text Embedding v4 supports custom embedding dimensions ranging from 64 to 2048.
Qwen Text Embedding v4 supports over 100 languages.
Yes, it belongs to the Qwen3-Embedding series from Alibaba Cloud.
It is designed for semantic search, clustering, and classification tasks.
