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Qwen3 14B

Alibaba CloudOpen-weight

41K context · — params · —

alibaba/qwen3-14b

Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...

Official Path Verified AWS Bedrock Azure AI Alibaba Cloud Intl (ap-southeast-1, us-east-1) Intl card
Cheapest blended: ¥0.105 / 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 DashScopeqwen3-14b¥0.06¥0.24¥0.10541K 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="qwen3-14b", 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="qwen3-14b",
    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": "qwen3-14b",
    "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: "qwen3-14b",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(resp.choices[0].message.content);

Technical specs

Context

41K

Max output

41K

Parameters

Release

Training cutoff

License

Similar models

Frequently asked questions

How much does Qwen3 14B cost?

The cheapest tracked blended price is ¥0.105 per 1M tokens on Alibaba Cloud DashScope. See the pricing matrix above for input/output splits per provider.

Can I use Qwen3 14B 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 14B open source?

Yes — Qwen3 14B is open-weight under the — license. You can self-host it or use any listed inference provider.

Is Qwen3 14B 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 14B supports up to 41K tokens of context with a maximum output of 41K tokens.

Need verified access to Qwen3 14B?

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

Request a brokerage intro