> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kymaapi.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Qwen 3 32B

> Kyma's fast Qwen option for coding loops, math, and lower-latency workflows.

## Overview

`qwen-3-32b` is for when you want strong Qwen-style coding quality but with lower latency than the flagship path. It is especially useful in tight edit-run-debug loops.

## Specs

| Field              | Value                                                   |
| ------------------ | ------------------------------------------------------- |
| Model ID           | `qwen-3-32b`                                            |
| Best for           | Coding, math, multilingual tasks, low-latency workflows |
| Context window     | 32K                                                     |
| Max output tokens  | 8K                                                      |
| Input modalities   | Text                                                    |
| Output modalities  | Text                                                    |
| Tool calling       | Yes                                                     |
| Structured outputs | Yes                                                     |
| Prompt caching     | Yes                                                     |
| Speed              | Fast                                                    |
| Cost band          | Balanced                                                |
| Release stage      | Stable                                                  |

## Use this when

* You need faster iteration on code tasks.
* You want a cheaper/faster Qwen option than `qwen-3.6-plus`.
* You do not need extremely long context.

## Pick something else when

* You want the strongest overall quality: use [`qwen-3.6-plus`](/models/qwen-3.6-plus).
* You need longer context for agent sessions: use [`kimi-k2.6`](/models/kimi-k2.6).
* You need 1M context: use `gemini-2.5-flash`.

## Example

```python theme={null}
from openai import OpenAI

client = OpenAI(base_url="https://kymaapi.com/v1", api_key="ky-...")

response = client.chat.completions.create(
    model="qwen-3-32b",
    messages=[{"role": "user", "content": "Refactor this TypeScript function for readability and speed."}]
)
```