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Qwen-Audio

Unified audio-language model covering 30 plus speech, sound and music tasks.

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About

Qwen-Audio is a large-scale audio-language model from the Qwen team at Alibaba, with the paper published on November 14, 2023. It scales up audio-language pre-training to cover over 30 tasks across speech, natural sounds, music and songs, using a multi-task framework with hierarchical tags to avoid interference between datasets.

Building on it, the team released Qwen-Audio-Chat for multi-turn voice dialogue and audio-centric scenarios. The code, models and demo are openly released on GitHub with commercial use permitted.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

November 14, 2023

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

audio-understandingspeech-recognitionvoice-chatmusic-analysis

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 123; Trending score 70/100 from researcher assessment.

More in the qwen-audio family

Sources