Qwen3 Embedding 4B is Alibaba Qwen's compact text embedding model, released 2025-10, built on the Qwen3 foundation for retrieval and ranking tasks. It targets text and code retrieval, classification, clustering, and bitext mining with multilingual and long-text support.
MirAPI doesn’t offer this model. The prices shown are the official list prices.
Modalities
inTextoutVector
Price
$0.02/ 1M in
Context
33K
Released
Oct 28, 2025
Quick start
POST /v1/embeddingsimport os from openai import OpenAI client = OpenAI( base_url="https://api.mirapi.ai/v1", # changed api_key=os.environ["MIRAPI_API_KEY"], # changed ) resp = client.embeddings.create( model="", input="The quick brown fox", ) vector = resp.data[0].embedding # len(vector) — pass dimensions= to shorten it
import OpenAI from "openai"; const client = new OpenAI({ baseURL: "https://api.mirapi.ai/v1", // changed apiKey: process.env.MIRAPI_API_KEY, // changed }); const resp = await client.embeddings.create({ model: "", input: "The quick brown fox", }); const vector = resp.data[0].embedding;
curl https://api.mirapi.ai/v1/embeddings \ -H "Authorization: Bearer $MIRAPI_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "", "input": "The quick brown fox" }'
Links
Wire Qwen3 Embedding 4B into your product
Start free1M free tokens to start, no card required. It’s OpenAI-compatible, so you only change the base URL.