Head-to-Head · Audio AI

ElevenLabs Scribe vs Deepgram Nova-3 vs Whisper

ElevenLabs’ Scribe v2 took the STT world by surprise — here is how it stacks against the incumbent Deepgram Nova-3 and open Whisper.

Verdict

Deepgram Nova-3 is the accuracy+price winner; Scribe v2 if you are in the ElevenLabs ecosystem.

Side-by-Side Comparison

#ModelWER (lower = better)Speed (RTF)First PartialCost / 1K MinMode
2
Scribe v2
ElevenLabs
4.9%
92x0.2s$7.50Streaming & Batch
1
Nova-3 (Speech-to-Text)
Deepgram
4.8%
110x0.18s$4.30Streaming & Batch
7
Whisper large-v3 turbo
OpenAI / Open Source
5.4%
85x0.35s$6.00Batch Async

Model-by-Model

Scribe v2 — ElevenLabs

Nova-3 still edges accuracy at 4.8% WER vs Scribe’s 4.9%, and it is cheaper: $4.30 vs $7.50 per 1K minutes.

Nova-3 (Speech-to-Text) — Deepgram

Scribe v2 (4.9% WER) brings ElevenLabs’ audio expertise to ASR with strong speaker diarization — worth it if you already use ElevenLabs TTS.

Whisper large-v3 turbo — OpenAI / Open Source

Whisper turbo remains the free-ish open-weights fallback at 5.4% WER.

FAQ

Is Scribe better than Whisper?

Yes — Scribe v2 scores 4.9% WER vs Whisper turbo’s 5.4%, and supports streaming. Whisper only wins on self-hosting and zero API cost.

Scribe vs Deepgram — which is better?

Nova-3 is marginally more accurate (4.8% vs 4.9% WER), faster to first partial (0.18s vs 0.20s) and 43% cheaper. Scribe counters with stronger diarization and the ElevenLabs stack.

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