Qwen/Qwen3-ASR-0.6B
Qwen3-ASR-0.6B is the compact model of the Qwen3-ASR family: multilingual language identification and speech recognition across 30 languages and 22 Chinese dialects, built on Qwen3-Omni. It targets an accuracy-efficiency trade-off with very high throughput, unified streaming/offline inference, and segment- and word-level timestamps.
Try the model with a sample request using the same API shape shown in the reference page.
Please upload an audio file
optional text to provide as a prompt for the first window.. (Default: empty)
chunk level, either 'segment' or 'word'
chunk length in seconds to split audio (Default: 30, 1 ≤ chunk_length_s ≤ 30)
task to perform
If true, the request is rejected immediately with HTTP 429 when the model has no spare capacity, instead of waiting in the queue. Opt-in; the default (false) keeps standard queueing behavior.
The service tier used for processing the request. 'priority' processes the request with higher priority (premium rate); 'flex' processes it at lower priority for a discount, served only when spare capacity exists and may be retried/timed out under load. Both apply only to models that support the respective tier.
language that the audio is in; uses detected language if None; use two letter language code (ISO 639-1) (e.g. en, de, ja)
temperature to use for sampling (Default: 0)
Adjust settings and run the demo to see the model output generated here in real-time.
