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.
This model is not routed on MirAPI yet — prices shown are the official list prices. Create an account to get notified when it goes live.
Modalities
inTextoutVector
Price / 1M
$0.02 / —
Context
33K
Knowledge cutoff
—
Capabilities
Structured output
Quick Start
import 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.chat.completions.create( model="qwen/qwen3-embedding-4b", messages=[{"role": "user", "content": "Hello"}], )
import OpenAI from "openai"; const client = new OpenAI({ baseURL: "https://api.mirapi.ai/v1", // changed apiKey: process.env.MIRAPI_API_KEY, // changed }); const res = await client.chat.completions.create({ model: "qwen/qwen3-embedding-4b", messages: [{ role: "user", content: "Hello" }], });
curl https://api.mirapi.ai/v1/chat/completions \ -H "Authorization: Bearer $MIRAPI_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "qwen/qwen3-embedding-4b", "messages": [{"role": "user", "content": "Hello"}] }'
Links
Wire Qwen3 Embedding 4B into your product
Start free1M free tokens to start · no card · OpenAI-compatible, one base_url change