Qwen3-ASR
What ChatGPT, Claude, Gemini & Grok actually say · July 2026
The verdict
Qwen3-ASR appears in 1 AI-ranked category — best position #5 for open-source speech-to-text model.
Best overall accuracy-capability balance; strong multilingual and noisy-audio recognition across 30 languages and 22 Chinese dialects, plus long-form, streaming, language detection, songs, vLLM serving, and Apache-2.0 weights
Where Qwen3-ASR falls short, per the models
- GPT Timestamps require a separate 0.6B forced-aligner, increasing memory and deployment complexity
Top alternatives per the models: OpenAI Whisper · NVIDIA Parakeet TDT · NVIDIA Canary-Qwen 2.5B · IBM Granite Speech
Embed your ranking badge
Qwen3-ASR ranks #5 for best open-source speech-to-text model by AI-model consensus. Put the badge in your README, docs or site — it updates automatically as the models re-rank.
[](https://modelsagree.com/best/best-open-source-speech-to-text-model?utm_source=badge&utm_medium=embed&utm_campaign=badge-qwen3-asr)<a href="https://modelsagree.com/best/best-open-source-speech-to-text-model?utm_source=badge&utm_medium=embed&utm_campaign=badge-qwen3-asr"><img src="https://modelsagree.com/badge/qwen3-asr.svg" alt="Qwen3-ASR — ranked #5 for Best open-source speech-to-text model by AI models on ModelsAgree" height="28"></a>Rankings are computed from what the models answer, re-polled weekly · raw reasoning shown verbatim · methodology