Choose Auto, TokenLab Verified, or Official for each request, with prices shown up front. See what's new

Alibaba Cloud: Qwen3 ASR Flash

Qwen3 ASR Flash recognizes speech in an audio file with optional contextual guidance. It is useful for short recordings containing names or specialist vocabulary that benefit from a hint about what the speaker is discussing.
Compare models
qwen3-asr-flash
AvailableAlibaba CloudSpeech to TextSync
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

  1. Create API key

    Create a key in Console, then use it with every model on the platform.

  2. Send your first request

    Copy the example for your language and run it against the endpoint.

    Speech to textTokenLab endpoint
    POST/v1/audio/transcriptions
    curl -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

ParameterValues and limitsDefaultNotes
fileInputs: ≥ 1, ≤ 1Not providedSend one audio file in multipart/form-data. Maximum file size is 25 MiB.
languageNot providedNot providedThis 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.
promptNot providedNot providedNot provided
response_formatjson, text, verbose_jsonjsonNot 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
—

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
Model performance
Metrics appear once privacy and data volume thresholds are met.

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

Reviewed Oct 2, 2026

More from Qwen ASR

Related models