Multilingual ASR coverage
According to the model card, the 0.6B model supports language identification and recognition for 30 languages and 22 Chinese dialects.
Open Source Model Profile · Qwen
Qwen3-ASR-0.6B is a 938M-parameter Qwen speech-recognition model from Qwen. The model card describes 52-language and dialect coverage with streaming and offline inference.
Qwen3-ASR-0.6B is published by Qwen as an automatic-speech-recognition model. The captured configuration identifies Qwen3ASRForConditionalGeneration with a qwen3_asr model type and Safetensors metadata reports 938008576 parameters. According to the model card, it is the smaller member of the Qwen3-ASR family built on Qwen3-Omni.
According to the model card, the 0.6B model supports language identification and recognition for 30 languages and 22 Chinese dialects.
According to the model card, both family models support streaming and offline unified inference, with streaming described as vLLM-backend only.
The model card describes a full-featured inference framework with vLLM batch inference, async serving, and streaming, plus day-0 vLLM model support.
The model card introduces Qwen3-ForcedAligner-0.6B for word- or character-level timestamps from text-speech pairs.
Source: Qwen/Qwen3-ASR-0.6B
Captured: Unknown. Processed: 2026-09-07T19:34:36.232366+00:00.
Qwen3-ASR Overview Introduction The Qwen3-ASR family includes Qwen3-ASR-1.7B and Qwen3-ASR-0.6B, which support language identification and ASR for 52 languages and dialects. Both leverage large-scale speech training data and the strong audio understanding capability of their foundation model, Qwen3-Omni. Experiments show that the 1.7B version achieves state-of-the-art performance among open-source ASR models and is competitive with the strongest proprietary commercial APIs. Here are the main features: All-in-one : Qwen3-ASR-1.7B and Qwen3-ASR-0.6B support language identification and speech recognition for 30 languages and 22 Chinese…
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