qwen3-coder-next· Released Feb 4, 2026
qwen/qwen3-coder-next
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...
Input
From$0.119444/M
Output
From$0.477797/M
Context
Up to 262K
Max output
Up to 262K
Modalities
TextTextInput 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 | 262K | 262K | ≤33K$0.119444 ≤131K$0.179171 >131K$0.298626 | ≤33K$0.477797 ≤131K$0.716695 >131K$1.19448 | — |
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-coder-next",
"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-coder-next",
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-coder-next",
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-coder-next",
Messages: []openai.ChatCompletionMessage{
{Role: "user", Content: "Say hello in five words."},
},
},
)
if err != nil {
panic(err)
}
fmt.Println(resp.Choices[0].Message.Content)
}