Alibaba Cloud: Qwen3 ASR Flash
qwen3-asr-flash- Price
- From $0.000035
- Modalities
- Audio
About Qwen3 ASR Flash
Qwen3 ASR Flash is Alibaba's short-clip speech recognition model, called synchronously and accepting optional context text that tells it what the speaker is discussing. It handles files up to about 5 minutes and 10 MB, and it always tags emotion in its output. It is the quick option in the Qwen3 ASR family, with Filetrans for long files and Realtime for streams.
Where it works well
- Optional context text helps with names and specialist vocabulary in short recordings.
- Synchronous calls return the transcript directly, with no job queue to poll.
- Emotion recognition is permanently enabled, which is useful for call and feedback analysis.
- Offers an OpenAI-compatible API style, easing migration from other transcription clients.
When to choose another model
- Alibaba caps inputs near 10 MB and 5 minutes, so long audio needs Qwen3 ASR Flash Filetrans.
- It does not stream; live input needs Qwen3 ASR Flash Realtime.
Getting started
Create API key
Create a key in Console, then use it with every model on the platform.
Send your first request
Copy the example for your language and run it against the endpoint.
Speech to textTokenLab endpointPOST/v1/audio/transcriptionscurl -X POST "https://api.tokenlab.sh/v1/audio/transcriptions" \ -H "Authorization: Bearer sk-xxx" \ -F file="@audio.mp3" \ -F operation="stt" \ -F response_format="json" \ -F model="qwen3-asr-flash" \ -F language="en"
Parameters
Speech to text
| Parameter | Values and limits | Default | Notes |
|---|---|---|---|
file | Inputs: ≥ 1, ≤ 1 | Not provided | Send one audio file in multipart/form-data. Maximum file size is 25 MiB. |
language | Not provided | Not provided | This field is accepted. The current public contract does not specify a complete value range or list. No additional values are promised. The omitted-field default is not verified. |
prompt | Not provided | Not provided | Not provided |
response_format | json, text, verbose_json | json | Not provided |
Pricing
The Verified price applies to Verified, which costs less on most models. The Official price is the model maker's published price and applies to the more reliable Official route. Auto bills the route that completes the request.
Speech to text
per second- Official price
- $0.000035
- Verified price
- —
- Discount
- —
| Official priceper second | Verified priceper second | Discount | |
|---|---|---|---|
| Speech to text | $0.000035 | — | — |
Usage & activity
Success rate is the share of requests that completed. Latency is how long a full response takes; P95 means 95% of requests finished within that time.
Usage & availability
Last 24 hours- Requests
- Success rate
- P95 latency
- Total tokens
Data is based on aggregate user requests, excluding status checks.
Open in Console
Open Qwen3 ASR Flash in Console with a prompt ready to edit or send.
Help me try qwen3-asr-flash with a short audio request at /v1/audio/transcriptions. Show the result and cost.
Use cases
Voice messages
Transcribe short chat voice messages and keep an emotion tag next to each one.
Domain clips
Supply a line about the topic, such as a drug or engine name list, to improve recognition of rare terms.
Drop-in migration
Point an existing OpenAI-style transcription client at it to test recognition quality on your own audio.
Prompt examples
Transcribe this 40-second voice note; context: a discussion of Kubernetes cluster upgrades.
Transcribe this short support clip and note the speaker's emotion.
Transcribe this interview clip; context: guests named Zhang Wei and Li Na.
FAQ
What are the input limits of Qwen3 ASR Flash?
Alibaba lists about 10 MB and 5 minutes per synchronous call. For longer recordings use Qwen3 ASR Flash Filetrans, which handles up to 2 GB and 12 hours asynchronously.
What does the context option do?
You pass text describing the topic or listing names and terms, and the model uses it to resolve ambiguous words. It is most useful on short clips with rare vocabulary.
Does it detect emotion?
Yes. Alibaba states emotion recognition is permanently enabled for the Qwen3 ASR Flash models, so an emotion tag is part of the result without any request flag.
Is the API OpenAI-compatible?
Alibaba lists OpenAI-compatible access for this family. Check Alibaba's documentation for the exact request fields, because not every parameter of other providers' clients is supported.
How much does Qwen3 ASR Flash cost?
On TokenLab, Qwen3 ASR Flash costs $0.000035 per second. The pricing table above shows the full breakdown. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.
Which endpoint should Qwen3 ASR Flash use?
Use https://api.tokenlab.sh/v1/audio/transcriptions for Qwen3 ASR Flash. The request example below shows the matching code shape.
Which operations does Qwen3 ASR Flash support?
Qwen3 ASR Flash supports Speech to text. Select an operation above to see its endpoint and request example.
Compare Qwen3 ASR Flash
Sources
- Model Studio: recording file recognition models
- Model Studio: speech-to-text models for real-time and file transcription
Reviewed Oct 2, 2026