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Official provider results

Qwen3-ASR model evaluation

Qwen’s model card reports word error rates for Qwen3-ASR 1.7B and 0.6B across AMI, Earnings22, GigaSpeech, LibriSpeech, SPGISpeech, and VoxPopuli.

Source snapshots refreshed
Five measurement lanesVOICE / S2S

Reasoning, task completion, conversation dynamics, experience, and latency stay separate.

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Benchmark profile

Scope
Mean WER over seven English test sets plus per-set values
Primary metric
Word error rate (lower is better)
Owner
Qwen
Available evidence
Exact figures published on the official model card

What it measures

Voice experience
Is the exchange natural, robust, and responsive?

Available results

Mean WER (1.7B)
5.59
Provider-run

AMI 9.26, Earnings22 9.88, GigaSpeech 7.25, LS Clean 1.24, LS Other 2.92, SPGISpeech 2.58, VoxPopuli 5.99.

Mean WER (0.6B)
6.31
Provider-run

AMI 10.57, Earnings22 10.72, GigaSpeech 7.65, LS Clean 1.69, LS Other 3.97, SPGISpeech 2.74, VoxPopuli 6.80.

Interpretation limit

Provider-run evaluation on public English test sets.