# Qwen-Turbo

> Qwen text model with reasoning, tool calling and structured output, which Alibaba Cloud no longer updates.

## Key facts

- Model author: Qwen
- Input: $0.05 per 1M tokens
- Output: $0.20 per 1M tokens
- Cached input: $0.01 per 1M tokens
- Context window: 1,000,000 tokens
- Input modalities: text
- Output modalities: text
- Capabilities: reasoning, structured_output, tools
- Model IDs: `qwen/qwen-turbo`
- Model page: https://www.realrelay.ai/model/qwen/qwen-turbo

## Overview

Qwen-Turbo is a text model from Alibaba Cloud's Qwen family with reasoning, tool calling and structured output. It accepts text input, returns text and offers a 1M-token context window. Alibaba Cloud states that Qwen-Turbo will no longer be updated. It is priced at $0.05 per 1M input tokens and $0.20 per 1M output tokens.

Qwen-Turbo has a 1M-token context window. It accepts text input and returns text.

## Capabilities

Qwen-Turbo takes text input and returns text. It supports reasoning, tool calling and structured output, so it can call functions and answer in a format that code can read.

Alibaba Cloud's documentation notes that Qwen-Turbo will no longer be updated, which makes it a fit for integrations that already use it. Its 1M-token context window accepts long text in a single request.

## Pricing

Qwen-Turbo is priced per 1M tokens at $0.05 for input and $0.20 for output, with cached input at $0.01.

Qwen-Turbo is available through RealRelay's OpenAI-compatible API.

## Use cases

Use Qwen-Turbo for text pipelines that rely on tool calling and structured output, such as classification, routing or extraction steps where the model returns a reply that the next piece of code reads directly.

With a 1M-token context window it can also take long text in one request for summarization or question answering. Because Qwen-Turbo is no longer updated, it suits existing integrations.

## Call it

OpenAI-compatible chat completions:

```bash
curl https://www.realrelay.ai/v1/chat/completions \
  -H "Authorization: Bearer $REALRELAY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen/qwen-turbo", "messages": [{"role": "user", "content": "Hello"}]}'
```

## FAQ

### What is Qwen-Turbo?

Qwen-Turbo is a text model from Alibaba Cloud's Qwen family with reasoning, tool calling and structured output. It accepts text input, returns text and offers a 1M-token context window.

### How much does Qwen-Turbo cost?

Qwen-Turbo costs $0.05 per 1M input tokens and $0.20 per 1M output tokens, and cached input is $0.01 per 1M tokens.

### What is the context window of Qwen-Turbo?

Qwen-Turbo has a 1M-token context window.

### What inputs and outputs does Qwen-Turbo support?

Qwen-Turbo accepts text input and returns text.

### Does Qwen-Turbo support tool calling and structured output?

Yes. Qwen-Turbo supports reasoning, tool calling and structured output.

### What is Qwen-Turbo used for?

Qwen-Turbo is used for text workflows built on tool calling and structured output, such as classification, extraction and question answering over long text.

### How do I call Qwen-Turbo through the API?

Send requests to RealRelay's OpenAI-compatible API with the model ID qwen/qwen-turbo.