Meta Priced Real-Time Transcription With 20-Speaker Diarization at $0.18 an Hour

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Meta Superintelligence Labs released Muse Voice Transcribe on September 1, a single real-time model doing streaming ASR, speaker diarization and endpointing, priced at $3.00 per 1,000 audio minutes, roughly 80% below Google Cloud Speech-to-Text's standard $0.96 per hour. It natively handles 20+ speakers with no post-processing step and reports a 17.5% average diarization error rate across AMI-IHM, AMI-SDM and VoxConverse. On Artificial Analysis's AA-WER Streaming benchmark it scored 3.1% word error rate, ahead of Cartesia Ink-2 at 3.4%, ElevenLabs Scribe v2 Realtime at 3.6% and Gemini 3.5 Transcribe Live at 4%.