Open ASR: Open ASR Leaderboard (average WER)
Average Word Error Rate across 11 diverse English test sets on the HuggingFace Open ASR Leaderboard (hf-audio). Covers read speech, earnings calls, meetings, TED talks, and parliamentary speeches. More representative of real-world deployment than single-dataset benchmarks. Lower is better.
Models ranked
2
tracked on this benchmark
Score band
5.3 – 5.4
best → lowest tracked
Snapshot trend
-0.09
Mar 7 → Apr 30 · 1 models
Leaderboard
Tracked models ranked by Avg WER (%) (lower is better).
How to read this benchmark
This benchmark scores models where lower is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.
Trust this score when
- There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
- The model list covers the same version family you can actually deploy today.
- Top candidates overlap with your required routing and feature requirements.
Be cautious when
- There is only one benchmark snapshot or the dataset appears stale.
- The benchmark metric direction is opposite of your decision objective.
- The score difference between options is narrow and likely within implementation variance.
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Last reviewed: Jun 7, 2026