Deepgram @deepgram.com · May 7 1 / 2
Conversational latency matters just as much as transcription accuracy. Across aggregate end-of-turn benchmarks, Flux Multilingual delivers: ⚡ Highest aggregate EoT F1 across all supported languages ⚡ Up to 3x lower latency than competing real-time EoT systems
1 likes 1 replies
?
Replies
Flux doesn’t rely on silence thresholds, it models conversational context directly. For voice agents, that’s the difference between reacting to silence and understanding conversation. To learn more, check out our blog post~ 🩷 deepgram.com/learn/introd...