SpaceXAI (xAI) launched Grok Voice Transcribe 2.0, claiming roughly 2× the accuracy of Transcribe 1.0 on customer-support calls, spoken credentials, and short voice commands at the same price. It ranks #1 for accuracy among 32 streaming transcription models on Artificial Analysis; short-phrase WER fell from about 20.6% to 6.8%. Features include streaming and batch modes, automatic language detection with mid-recording language switches, word-level timestamps and confidence, free speaker diarization, batch at about $0.10/hour and realtime streaming at about $0.20/hour, with existing Speech-to-Text API clients upgraded without code changes.

Key Takeaways

  • ✓Claims ~2× accuracy vs Transcribe 1.0 on support calls, spoken credentials, and short commands at the same price.
  • ✓#1 accuracy among 32 AA streaming transcription models; short-phrase WER ~20.6%→6.8%.
  • ✓Batch ~$0.10/hr and streaming ~$0.20/hr, with diarization, language switching, word timestamps; existing API clients upgrade in place.
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Key Decision Metrics at a Glance

TL;DR Verdict
🏆 Benchmark RankRank
#1 accuracy among 32 AA streaming transcription models; short-phrase WER ~20.6%→6.8%.
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Claims ~2× accuracy vs Transcribe 1.0 on support calls, spoken credentials, and short commands at the same price.
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🛠️ Ecosystem & IDERules
Grok Voice Transcribe · Speech to text · ASR
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Up NextNVIDIA open-sources Nemotron 3.5 Transcribe, a 30B MoE speech model with about 4B active parameters that handles transcription in 40 languages, speaker attribution and translation, and tops open models on the Open ASR English leaderboard
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