Side by side

See the difference.

Scores, capabilities and costs for the models you’re considering.

Comparison of OpenMOSS-Team/MOSS-Transcribe-Diarize
1 modelOpenMOSS-TeamOpenMOSS-Team/MOSS-Transcribe-DiarizeRemove ×
What’s different0.91B parameters · 50 languages · Encoder: Whisper audio encoder, 24 layers · Decoder: Qwen3, 28 layers
DateOct 17, 2026Discovered
Listed rateSee provider quotes
Provider endpoints0 endpoints →
AMI-Cleaned WER ↗English short-form; normalization unversioned8.33% WER ↗OpenMOSS-Team/MOSS-Transcribe-DiarizeLeaderboard entry
Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversioned6.09% WER ↗OpenMOSS-Team/MOSS-Transcribe-DiarizeLeaderboard entry
Gigaspeech-Cleaned WER ↗English short-form; normalization unversioned7.68% WER ↗OpenMOSS-Team/MOSS-Transcribe-DiarizeLeaderboard entry
LS Clean WER ↗English short-form; normalization unversioned1.66% WER ↗OpenMOSS-Team/MOSS-Transcribe-DiarizeLeaderboard entry
LS Other WER ↗English short-form; normalization unversioned4.16% WER ↗OpenMOSS-Team/MOSS-Transcribe-DiarizeLeaderboard entry
SPGISpeech WER ↗English short-form; normalization unversioned1.7% WER ↗OpenMOSS-Team/MOSS-Transcribe-DiarizeLeaderboard entry
URGENT2024 WER ↗English short-form; normalization unversioned12.74% WER ↗OpenMOSS-Team/MOSS-Transcribe-DiarizeLeaderboard entry
Voice Arena Monsoon WER ↗English short-form; normalization unversioned3.87% WER ↗OpenMOSS-Team/MOSS-Transcribe-DiarizeLeaderboard entry
Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversioned3.6% WER ↗OpenMOSS-Team/MOSS-Transcribe-DiarizeLeaderboard entry
Context window—
Max output—
Parameters0.91B
Audio inputSupported
TranscriptionSupported

Add another model

Search all models →