Qwen
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.
Running this yourself: can likely run on your own machine.
46.2
Quality Score
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Arena ELO
2B
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
17 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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Jun 2026
Released
4/5 signals
3/4 signals
4/5 signals
3/4 signals
3/4 signals
Parameters
2B
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
Qwen/Qwen3-ASR-1.7B-hf · Hugging Face
Qwen published benchmark or leaderboard evidence for Qwen3-ASR-1.7B-hf.
View source