Qwen Turbo is designed to enhance both the performance and efficiency of AI agents developed on the Alibaba Cloud Model Studio platform.
For developers looking to build and optimize generative AI applications with a focus on speed and efficiency. Its integration within RAG architecture marks a substantial enhancement in the capacity of AI agents, facilitating superior comprehension and adaptation to enterprise data.
The model is available on the AI/ML API platform as "Qwen Turbo" .
Detailed API Documentation is available here.
The Qwen team emphasizes ethical considerations in AI development by promoting transparency regarding the model's capabilities and limitations. The organization encourages responsible usage to prevent misuse or harmful applications of generated content.
Qwen Turbo 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 Turbo 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-turbo", "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-turbo", "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-turbo","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Intelligence | 6.4 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Qwen Turbo This page | Coding + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Qwen Turbo has a 1,000,000 tokens context window and can return up to 16,384 tokens.
Qwen Turbo takes text as input and returns text.
Use alibaba/qwen-turbo as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Qwen Turbo became available on September 9, 2025.
Qwen Turbo is priced at input $0.065 / 1M tokens, output $0.26 / 1M tokens, cached input $0.013 / 1M tokens.
Yes, Qwen Turbo can stream responses as they are generated.
Qwen Turbo was built by Alibaba Cloud.
Qwen Turbo is accessed via the endpoint https://api.aimlapi.com/v1/chat/completions using standard chat completion requests.
Yes, Qwen Turbo includes reasoning as one of its capabilities.
Yes, Qwen Turbo supports function calling, tool use, and parallel tool calls.
