Voice AI BenchmarksBy

PROVIDERLAST 30 DAYS

official resource

Deepdub voice AI models and benchmarks

Deepdub lists 1 TTS model in Coval. Its fastest dated TTS result is Phantom Z 3.4 conversational at mean 267 ms time to first audio (16th of 32) among TTS systems, with 1.9% WER. Results cover the last 30 days. Last measured .

Deepdub builds emotive text-to-speech and voice technology, originally for localization and dubbing and now offered as a real-time voice API for agents.

Measured models
1
TTS
Best TTS model#16 / 32
267ms
Phantom Z 3.4 conversational

Overview

Deepdub creates and hosts the measured eTTS endpoint and exposes accent, tempo, variance and seed controls per request.

Every model below is measured daily on the same fixed inputs and ranked against the full field, never blended into a company score.

Model lineup

Text-to-Speech
Phantom Z 3.4 conversational

Text-to-Speech

Full TTS dashboard

Ranked on Time to First Audio against 32 measured models.

Time to First Audioms · lower is better · Deepdub models markedEvery measured TTS model on Time to First Audio, with Deepdub's models highlighted.
  1. #1vui57 ms
  2. #2Default63 ms
  3. #3Qwen3 TTS Fast67 ms
  4. #4TTS Flash 288 ms
  5. #5Qwen3 TTS 1.7b107 ms
  6. #6Simba 3.0110 ms
  7. #7Palabra TTS121 ms
  8. #16Phantom Z 3.4 conversational267 ms
leaders plus Deepdub models · 24 other models in the full table
Word Error Rate% · lower is better · Deepdub models markedEvery measured TTS model on Word Error Rate, with Deepdub's models highlighted.
  1. #1Sonic 3.61.5%
  2. #2S2.1 Pro Free1.5%
  3. #3Sonic 3.51.6%
  4. #4S2.1 Pro1.6%
  5. #5Lightning v3.1 Pro1.6%
  6. #6Simba 3.01.6%
  7. #7Chirp 3 HD1.6%
  8. #22Phantom Z 3.4 conversational1.9%
leaders plus Deepdub models · 24 other models in the full table
TTFA vs WER — Deepdub vs every measured modelEach point is one measured TTS model · Deepdub models highlighted · 30-day averagesTime to First Audio against Word Error Rate for every measured TTS model, with Deepdub's models highlighted.
vui — 57 ms, 2.1%Default — 63 ms, 1.9%Qwen3 TTS Fast — 67 ms, 1.8%TTS Flash 2 — 88 ms, 1.7%Qwen3 TTS 1.7b — 107 ms, 1.8%Simba 3.0 — 110 ms, 1.6%Palabra TTS — 121 ms, 2.7%Simba 3.2 — 125 ms, 2.0%drama3-preview — 185 ms, 1.9%TTS 2 — 186 ms, 1.6%Flash v2.5 — 193 ms, 1.9%Eleven v4 Turbo — 199 ms, 1.7%Flux TTS — 204 ms, 1.7%TTS RT v1 — 255 ms, 2.5%TTS Rt v2 — 257 ms, 2.4%Falcon 2 — 282 ms, 1.7%Mist v3 — 287 ms, 2.1%Sonic 3.5 — 292 ms, 1.6%Aura 2 — 297 ms, 1.9%Sonic 3.6 — 297 ms, 1.5%Coda — 332 ms, 9.5%S2.1 Pro — 343 ms, 1.6%Grok TTS — 361 ms, 1.6%S1 — 391 ms, 1.8%Lightning v3.1 Pro — 392 ms, 1.6%Daytona TTS — 485 ms, 1.7%Aura 2 En — 565 ms, 2.1%Chirp 3 HD — 599 ms, 1.6%Qwen3 TTS Flash Realtime — 719 ms, 3.0%S2.1 Pro Free — 849 ms, 1.5%GPT-4o mini TTS — 2568 ms, 1.8%Phantom Z 3.4 conversational — 267 ms, 1.9%
Benchmarked models with their Time to First Audio over the last 30 days.
ModelHostTTFARank
Phantom Z 3.4 conversationalDeepdub267 ms16th of 32

How fast are Deepdub's TTS models?

Phantom Z 3.4 conversational measures mean 267 ms time to first audio (16th of 32) among TTS systems. Last measured 2026-10-16.

How accurate are Deepdub's TTS models?

Phantom Z 3.4 conversational measures 1.9% word error rate (22nd of 32) among TTS systems. Last measured 2026-10-16.

Which Deepdub model is fastest?

Its fastest dated TTS result is Phantom Z 3.4 conversational at mean 267 ms time to first audio (16th of 32) among TTS systems, with 1.9% WER. Last measured 2026-10-16.

Limits of this comparison

Coval measures its TTS API within the TTS category only.

  • The results describe the measured TTS model only, not Deepdub's dubbing, voice conversion or localization products.

Official resources

Same datasets, prompts and metric definitions for every model, measured by Coval’s open-source runner. Full methodology on the overview.

Evaluate your own voice agent

Use Coval to test your production configuration, prompts and calls—not only the public benchmark endpoints.

Book a Demo