VoxPopuli-Cleaned-AA Word Error Rate (VoxPopuli WER)
We show this table for reference; we do not rank on it.
A speech-recognition benchmark on the cleaned Artificial Analysis VoxPopuli subset, reported as word error rate where lower is better.
Benchmark score on VoxPopuli WER — September 27, 2026
We compile the VoxPopuli WER rows from provider self-reports. Interfaze Beta leads the table at 2.4%. We do not use these results to rank models overall.
1 modelMultimodal & GroundedCurrentDisplay onlyUpdated September 27, 2026
Benchmark score table (1 model)
ScoreAbout VoxPopuli WER
Year
2026
Tasks
Speech-to-text transcription
Format
Word error rate
Difficulty
Audio speech recognition
VoxPopuli-Cleaned-AA measures transcription quality on multilingual European Parliament speech using Whisper-style text normalization. BenchLM stores Interfaze's WER as a display-only multimodal and audio row.
Freshness and provenance
Version
VoxPopuli WER 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does VoxPopuli WER measure?
A speech-recognition benchmark on the cleaned Artificial Analysis VoxPopuli subset, reported as word error rate where lower is better.
Which model scores highest on VoxPopuli WER?
Interfaze Beta by Interfaze currently leads with a score of 2.4% on VoxPopuli WER.
How many models are evaluated on VoxPopuli WER?
1 AI models have been evaluated on VoxPopuli WER on BenchLM.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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