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Qwen3 Coder Next

Alibaba CloudOpen-weight

262K context · — params · —

alibaba/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...

Official Path Verified AWS Bedrock Azure AI Alibaba Cloud Intl (ap-southeast-1, us-east-1) Intl card
Cheapest blended: ¥0.2825 / 1M tokens on Alibaba Cloud DashScopeGet custom quote

Reachability & verification

Live reachability

Probing…

Target (Alibaba Cloud DashScope): https://dashscope.aliyun.com/compatible-mode/v1

Overseas reference latency (est.)

Singapore 90 ms London 160 ms

Live reachability probe

Measured in real time from the ModelHub gateway egress to this model's API endpoint. Green means reachable right now. Overseas reference latencies are estimates; the live probe is the proof of current reachability.

Official Path Verified by ModelHub

Pricing across providers

1

Prices are shown in each provider's billing currency — ¥ (CNY) for Chinese providers, $ (USD) for overseas gateways.

ProviderInput /1MOutput /1MBlendedCtxp50 latencyAPIVerified
Alibaba Cloud DashScopeqwen3-coder-next¥0.11¥0.8¥0.2825262K OAI119d ago

Works with

CursorClineAiderContinueOpenCodeOpen WebUI

Any OpenAI-compatible client works — point the base URL at the provider endpoint.

Capabilities

Code samplesExample usingAlibaba Cloud DashScope— the cheapest hosting for this model as of last verification. Swapbase_urlandmodelto use a different provider from the matrix above.PythoncURLNode.jsCopyfrom openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://dashscope.aliyun.com/compatible-mode/v1", ) response = client.chat.completions.create( model="qwen3-coder-next", messages=[{"role": "user", "content": "Hello!"}], ) print(response.choices[0].message.content)code

Code samples

Python
from openai import OpenAI

client = OpenAI(
    base_url="https://dashscope.aliyun.com/compatible-mode/v1",
    api_key="YOUR_API_KEY",
)

resp = client.chat.completions.create(
    model="qwen3-coder-next",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)
cURL
curl https://dashscope.aliyun.com/compatible-mode/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3-coder-next",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
Node.js
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://dashscope.aliyun.com/compatible-mode/v1",
  apiKey: "YOUR_API_KEY",
});

const resp = await client.chat.completions.create({
  model: "qwen3-coder-next",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(resp.choices[0].message.content);

Technical specs

Context

262K

Max output

262K

Parameters

Release

Training cutoff

License

Similar models

Frequently asked questions

How much does Qwen3 Coder Next cost?

The cheapest tracked blended price is ¥0.2825 per 1M tokens on Alibaba Cloud DashScope. See the pricing matrix above for input/output splits per provider.

Can I use Qwen3 Coder Next from outside China?

Availability depends on the hosting provider. Use our Path Planner on the Alibaba Cloud DashScope page to map a verified official-vs-brokered access path, including payment and KYC constraints.

Is Qwen3 Coder Next open source?

Yes — Qwen3 Coder Next is open-weight under the — license. You can self-host it or use any listed inference provider.

Is Qwen3 Coder Next OpenAI-compatible?

Yes — at least one tracked provider exposes an OpenAI-compatible endpoint, so Cursor, Cline, Aider and similar clients work with just a base-URL change.

What is the maximum context window?

Qwen3 Coder Next supports up to 262K tokens of context with a maximum output of 262K tokens.

Need verified access to Qwen3 Coder Next?

We broker vetted intros to Alibaba Cloud DashScope — payment, KYC and endpoint verification handled.

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