Voice AI BenchmarksBy

PROVIDERLAST 30 DAYS

official resource

Rime voice AI models and benchmarks

Rime lists 2 TTS models in Coval. Its fastest dated TTS result is Mist v3 at mean 258 ms time to first audio (11th of 28) among TTS systems, with 5.5% WER. Results cover the last 30 days. Last measured .

Rime builds real-time text-to-speech APIs and voices.

Measured models
2
TTS
Best TTS model#11 / 28
258ms
Mist v3

Overview

Rime supports multilingual and on-premises synthesis across two live generations, Coda and Mist v3.

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
Coda, Mist v3

Text-to-Speech

Full TTS dashboard

Ranked on Time to First Audio against 28 measured models.

Time to First Audioms · lower is better · Rime models markedEvery measured TTS model on Time to First Audio, with Rime's models highlighted.
  1. #1vui66 ms
  2. #2Qwen3 TTS Fast71 ms
  3. #3TTS Flash 291 ms
  4. #4Qwen3 TTS 1.7b106 ms
  5. #5Palabra TTS v1115 ms
  6. #6TTS 2181 ms
  7. #7Flash v2.5194 ms
  8. #11Mist v3258 ms
  9. #15Coda312 ms
leaders plus Rime models · 19 other models in the full table
Word Error Rate% · lower is better · Rime models markedEvery measured TTS model on Word Error Rate, with Rime's models highlighted.
  1. #1TTS RT v13.9%
  2. #2TTS Rt v24.2%
  3. #3Qwen3 TTS Fast4.2%
  4. #4Eleven v3 Conversational4.4%
  5. #5Lightning v3.1 Pro4.4%
  6. #6Simba 3.24.4%
  7. #7TTS 24.6%
  8. #13Coda5.0%
  9. #23Mist v35.5%
leaders plus Rime models · 19 other models in the full table
TTFA vs WER — Rime vs every measured modelEach point is one measured TTS model · Rime models highlighted · 30-day averagesTime to First Audio against Word Error Rate for every measured TTS model, with Rime's models highlighted.
vui — 66 ms, 5.4%Qwen3 TTS Fast — 71 ms, 4.2%TTS Flash 2 — 91 ms, 5.4%Qwen3 TTS 1.7b — 106 ms, 5.5%Palabra TTS v1 — 115 ms, 5.8%TTS 2 — 181 ms, 4.6%Flash v2.5 — 194 ms, 6.7%Default — 235 ms, 5.3%TTS Rt v2 — 245 ms, 4.2%TTS RT v1 — 245 ms, 3.9%Sonic 3.5 — 277 ms, 5.9%Phantom Z 3.4 conversational — 286 ms, 6.0%Aura 2 — 308 ms, 5.2%S2.1 Pro — 335 ms, 4.8%Eleven v3 Conversational — 348 ms, 4.4%Lightning v3.1 Pro — 362 ms, 4.4%S1 — 379 ms, 4.9%Grok TTS — 397 ms, 4.9%Sonic 3.6 — 423 ms, 5.3%Simba 3.2 — 451 ms, 4.4%Simba 3.0 — 472 ms, 5.2%Chirp 3 HD — 535 ms, 5.2%Falcon 2 — 545 ms, 5.2%Qwen3 TTS Flash Realtime — 753 ms, 8.9%S2.1 Pro Free — 963 ms, 4.7%GPT-4o mini TTS — 1013 ms, 4.8%Mist v3 — 258 ms, 5.5%Coda — 312 ms, 5.0%
Benchmarked models with their Time to First Audio over the last 30 days.
ModelHostTTFARank
CodaRime312 ms15th of 28
Mist v3Rime258 ms11th of 28

How fast are Rime's TTS models?

Mist v3 measures mean 258 ms time to first audio (11th of 28) among TTS systems. Last measured 2026-09-15. Coda measures mean 312 ms time to first audio (15th of 28) among TTS systems. Last measured 2026-09-15.

How accurate are Rime's TTS models?

Coda measures 5.0% word error rate (13th of 28) among TTS systems. Last measured 2026-09-15. Mist v3 measures 5.5% word error rate (23rd of 28) among TTS systems. Last measured 2026-09-15.

Which Rime model is fastest?

Its fastest dated TTS result is Mist v3 at mean 258 ms time to first audio (11th of 28) among TTS systems, with 5.5% WER. Last measured 2026-09-15.

Limits of this comparison

Coval measures Coda and Mist v3 as separate first-party endpoints using the same fixed prompts.

  • Coval does not rank subjective naturalness or every speaker in Rime's voice catalogue.

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.

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