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# Qwen Audio 3.1 ASR

> Speech-to-text for short clips and long recordings, with sentence segments, word timestamps, and multilingual and Chinese dialect recognition.

![Qwen Audio 3.1 ASR](https://media.empiriolabs.ai/model-logos/qwen.png)

[Alibaba Cloud](/providers/alibaba) · Transcription

`POST /v1/audio/transcriptions`

Speech-to-text for short clips and long recordings, with sentence segments, word timestamps, and multilingual and Chinese dialect recognition.

## At a glance

| Field               | Value                                              |
| ------------------- | -------------------------------------------------- |
| Model id            | `qwen-audio-3-1-asr`                               |
| Model release date  | 2026-09-10                                         |
| Input modalities    | Audio                                              |
| Output modalities   | Text                                               |
| Context window      | -                                                  |
| Weight precision    | -                                                  |
| Region              | Singapore                                          |
| Features            | transcription, speech_to_text, multilingual        |
| Native inference    | No                                                 |
| New                 | Yes                                                |
| Supported endpoints | `POST /v1/audio/transcriptions`                    |
| Alternate model ids | `qwen-audio-3.1-asr`, `alibaba/qwen-audio-3-1-asr` |

## Pricing

| Charge | Spec                      | Rate   |
| ------ | ------------------------- | ------ |
| Input  | per 1M audio input tokens | \$0.30 |
| Output | per 1M generated tokens   | \$0.94 |

## Example request

```bash
curl https://api.empiriolabs.ai/v1/audio/transcriptions \
  -H 'Authorization: Bearer $EMPIRIOLABS_API_KEY' \
  -F model=qwen-audio-3-1-asr \
  -F file=@meeting.mp3
```

## Parameters

*This model accepts the standard chat completion parameters (see the [API reference](/api-reference)).*

## Notes

**Sending audio**

Send a file as multipart `file`, or JSON with `audio_url` or `audio_base64`, in common audio formats. Short clips and long recordings are both accepted.

**Getting the result**

The request returns a `job_id` and a `poll_url` right away. Poll `GET /v1/jobs/<job-id>` until `status` is `completed`. Short clips finish in seconds; long recordings take longer.

**What comes back**

The `result` of the completed job holds the full transcript as `text`, sentence segments with start and end times, and word timestamps. The language is detected automatically, including Chinese dialects.

**Billing**

Input and output tokens are priced per 1M, and each request is billed from the usage the model reports.

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*Machine-readable schema:* `GET https://api.empiriolabs.ai/v1/models/qwen-audio-3-1-asr`.