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SpaceXAI halves transcription error without raising API prices

SpaceXAI released Grok Voice Transcribe 2.0 for batch and streaming speech-to-text. Artificial Analysis reports a 2.3% word error rate on its public index versus 4.0% for version 1.0, while the API price remains $0.10 per audio hour for batch and $0.20 for streaming. The model adds word confidence, diarization, eight-channel transcription, key-term biasing and automatic language switching, and is already used for every Atlassian Loom video.

Imported from the existing research archive. Migration preserves the recorded judgment and is not a fresh verification.

What this means for you

For voice-agent and media pipelines, this is a material quality gain at a price low enough to change build-versus-buy calculations. Trial it on noisy domain audio and proper nouns before switching defaults; public aggregate accuracy does not replace workload-specific error, latency and privacy testing.

Evidence & related material

Background · Historical record, not rechecked

SpaceXAI released Grok Voice Transcribe 2.0 for batch and streaming speech-to-text. Artificial Analysis reports a 2.3% word error rate on its public index versus 4.0% for version 1.0, while the API price remains $0.10 per audio hour for batch and $0.20 for streaming. The model adds word confidence, diarization, eight-channel transcription, key-term biasing and automatic language switching, and is already used for every Atlassian Loom video.

Technical details & scores
Model Id grok-voice-transcribe-2.0
Public Accuracy Artificial Analysis WER 2.3% versus 4.0% for Grok Voice Transcribe 1.0
Pricing $0.10/audio-hour batch; $0.20/audio-hour streaming
Features word timestamps and confidence, speaker diarization, up to 8 channels, 100 key terms, smart turn detection
Multilingual dozens of languages; detects mid-recording language switches
Adoption Atlassian Loom uses the model for every video transcription
Technical impact 4
Engineering value 5
Adoption signal 4
Maturity 4
Verification cost 2
Risk 2