qwen3-embedding-8b· Released Oct 28, 2025

Name: qwen3-embedding-8b
Brand: Qwen
Availability: InStock

qwen/qwen3-embedding-8b

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. This series inherits the exceptional multilingual capabilities, long-text...

Input

From$0.23/M

Output

—

Context

Up to 33K

Max output

—

Modalities

TextEmbeddings

Input and output show the lowest price across upstreams, for reference. Your actual prices are listed per upstream below.

Upstreams & pricing

Upstream	Context	Max output	Input $/1M	Output $/1M	Data policy
Zenlayer AI Gateway-openai_compat/GlobalFrom price	33K	—	$0.23	—	—

Routed in real time — you pay the listed price of whichever upstream serves your call. Data policies reflect each upstream's own data terms and its agreement with us. We do not independently audit upstream implementations.

How to call

bashrequest.sh

curl https://api.lune.io/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3-embedding-8b",
    "messages": [
      {"role": "user", "content": "Say hello in five words."}
    ]
  }'

pythonrequest.py

from openai import OpenAI
import os

client = OpenAI(
    api_key=os.environ["API_KEY"],
    base_url="https://api.lune.io/v1",
)

resp = client.chat.completions.create(
    model="qwen/qwen3-embedding-8b",
    messages=[{"role": "user", "content": "Say hello in five words."}],
)

print(resp.choices[0].message.content)

tsrequest.ts

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.API_KEY,
  baseURL: "https://api.lune.io/v1",
});

const resp = await client.chat.completions.create({
  model: "qwen/qwen3-embedding-8b",
  messages: [{ role: "user", content: "Say hello in five words." }],
});

console.log(resp.choices[0].message.content);

gomain.go

package main

import (
    "context"
    "fmt"
    "os"

    "github.com/sashabaranov/go-openai"
)

func main() {
    cfg := openai.DefaultConfig(os.Getenv("API_KEY"))
    cfg.BaseURL = "https://api.lune.io/v1"
    client := openai.NewClientWithConfig(cfg)

    resp, err := client.CreateChatCompletion(
        context.Background(),
        openai.ChatCompletionRequest{
            Model: "qwen/qwen3-embedding-8b",
            Messages: []openai.ChatCompletionMessage{
                {Role: "user", Content: "Say hello in five words."},
            },
        },
    )
    if err != nil {
        panic(err)
    }
    fmt.Println(resp.Choices[0].Message.Content)
}