Qwen-Plus is an advanced large language model developed by Alibaba Cloud, designed to support multiple languages such as Chinese and English.
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Qwen-Plus is designed for a variety of applications, including natural language understanding, text generation, and multilingual tasks. Its enhanced reasoning and instruction-following capabilities make it suitable for complex problem-solving and detailed analysis.
Qwen-Plus supports multiple languages, with a focus on Chinese and English.
Qwen-Plus is built upon the Transformer architecture, which is the foundation for many state-of-the-art language models. This architecture enables efficient processing of sequential data and supports advanced features like attention mechanisms.
Qwen-Plus demonstrates top-tier performance on a wide range of benchmarks evaluating language understanding, reasoning, mathematics, coding, and human preference alignment.
The model is available on the AI/ML API platform as "Qwen Plus" .
Detailed API Documentation is available here.
Developers are encouraged to consider ethical implications when deploying Qwen-Plus, including issues related to data privacy, bias mitigation, and responsible use. Adhering to ethical guidelines ensures that the model is used in a manner that respects user rights and societal norms.
Qwen Plus is available under specific licensing terms provided by Alibaba Cloud. Users are advised to review the licensing information to understand the permissions and restrictions associated with the model's use.
Get Qwen Plus API here.
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "alibaba/qwen-plus", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "alibaba/qwen-plus", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"alibaba/qwen-plus","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Qwen Plus This page | Coding + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Qwen Plus has a 131,000 tokens context window and can return up to 16,384 tokens.
Qwen Plus takes text as input and returns text.
Use alibaba/qwen-plus as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Qwen Plus became available on September 9, 2025.
Qwen Plus is priced at input $0.52 / 1M tokens, output $1.56 / 1M tokens, cached input $0.104 / 1M tokens.
Yes, Qwen Plus can stream responses as they are generated.
Qwen Plus was built by Alibaba Cloud.
Yes, Qwen Plus supports function calling, including parallel tool calls and structured outputs.
