Scribe v3 Ranks #2, Live Hits STT Pareto
ElevenLabs’ Scribe v3 ranks #2 of 64 speech-to-text models at 1.95% AA-WER, while Scribe v3 Live reaches the accuracy-speed Pareto frontier. Both models launched for API and agent workloads, with improved multilingual transcription, diarization, and real-time turn detection.
This is a meaningful production-focused upgrade: ElevenLabs is narrowing the traditional tradeoff between transcription accuracy and real-time latency, though leaderboard wins still need validation on each team’s audio mix.
- –Scribe v3’s #2 accuracy ranking puts it near the top without claiming outright leadership.
- –Scribe v3 Live’s Pareto position is especially relevant for voice agents, where latency and recognition errors directly affect conversation quality.
- –The API supports a straightforward migration through `scribe_v3` and `scribe_v3_live` model IDs.
- –Keyterm prompting, speaker diarization, mixed-language handling, and turn prediction target the messy audio conditions that break generic ASR systems.
- –Artificial Analysis blends several datasets and reports rolling speed measurements, so developers should test noisy calls, jargon, accents, and actual cost before switching.
DISCOVERED
32m ago
2026-11-11
PUBLISHED
2h ago
2026-11-11
RELEVANCE
AUTHOR
ElevenLabsDevs