
Nova-3
Deepgram's flagship STT — real-time multilingual accuracy for voice agents
About
Nova-3 launched on February 12, 2025 as Deepgram's most advanced speech-to-text model, going GA in 2025-Q1. It uses a latent-space architecture to encode speech patterns efficiently; Deepgram claims a 54% WER reduction versus the field, with real-time multilingual transcription, keyterm prompting for domain vocabulary, and a Nova-3-Medical variant (March 2025) tuned for clinical terminology. It became the default STT in Twilio's ConversationRelay in September 2025 and is positioned as the low-latency hot path for voice agents, often paired with Whisper as a batch fallback. Pricing is usage-based per minute via the Deepgram API. As with all vendor benchmarks, the -54% figure is team-reported; independent 2026 streaming benchmarks place Deepgram's models solidly but not at the very top on accuracy, with latency as the real strength.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Team-reported: -54% WER vs field
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Launched Feb 12, 2025 per BetaNews; Deepgram timeline confirms Nova-3 GA 2025-Q1; Twilio ConversationRelay default STT Sept 2025; Nova-3-Medical variant March 2025; -54% WER claim is team-reported; independent benchmarks show latency as the strength.