RIMETEXT-TO-SPEECH45,548 SAMPLES / 30 DAYSLAST RUN SEP 15, 2026, 06:30 UTC

official resource

Coda text-to-speech benchmarks

Coda, hosted by Rime, measures mean 312 ms time to first audio (15th of 28) and 5.0% word error rate (13th of 28) among TTS systems. Results cover the last 30 days. Coval benchmarks hosted endpoints daily using a consistent evaluation methodology. Last measured .

Coda is a Rime streaming text-to-speech model.

Time to First Audio#15 / 28
312ms
TTFA Network Roundtrip#15 / 28
190ms
TTFA Leading Silence#20 / 28
122ms
Word Error Rate#13 / 28
5%

Overview

Rime provides Coda through its real-time synthesis API and offers multilingual and on-premises options.

Coda is tested every day on a fixed set of text prompts, measuring how quickly audible speech starts and how intelligible the result is.

Technical specifications

Made by
Rime
Hosted by
Rime
Source
Official API
Licensing
Proprietary
Deployment
On-prem
Region
US
Features
Multilingual
Time to First Audio — every measured TTS modelMilliseconds · lower is better · 30-day averageEvery TTS model ranked on Time to First Audio, with Coda highlighted.
  1. #1vui66 ms
  2. #3TTS Flash 291 ms
  3. #4Qwen3 TTS 1.7b106 ms
  4. #6TTS 2181 ms
  5. #7Flash v2.5194 ms
  6. #8Default235 ms
  7. #9TTS Rt v2245 ms
  8. #10TTS RT v1245 ms
  9. #11Mist v3258 ms
  10. #12Sonic 3.5276 ms
  11. #14Aura 2308 ms
  12. #15Coda312 ms
Show all 28 models
  1. #16S2.1 Pro335 ms
  2. #19S1379 ms
  3. #20Grok TTS397 ms
  4. #21Sonic 3.6423 ms
  5. #22Simba 3.2452 ms
  6. #23Simba 3.0471 ms
  7. #24Chirp 3 HD535 ms
  8. #25Falcon 2545 ms
  9. #27S2.1 Pro Free965 ms
  10. #28GPT-4o mini TTS1013 ms
median of all models · 310 ms
TTS models over the last 30 days, ranked on Time to First Audio.
#ModelHostTTFAWERSamples
1vuiFluxions66 ms9,450
2Qwen3 TTS FastNari71 ms2,190
3TTS Flash 2Inworld AI91 ms11,401
4Qwen3 TTS 1.7bBaseten106 ms420
5Palabra TTS v1Palabra115 ms11,385
6TTS 2Inworld AI181 ms11,401
7Flash v2.5ElevenLabs194 ms9,118
8DefaultGradium235 ms9,127
9TTS Rt v2Soniox245 ms11,232
10TTS RT v1Soniox245 ms11,234
11Mist v3Rime258 ms11,387
12Sonic 3.5Cartesia276 ms11,400
13Phantom Z 3.4 conversationalDeepdub286 ms11,396
14Aura 2Deepgram308 ms11,386
15CodaRime312 ms11,392
16S2.1 ProFish Audio335 ms11,400
17Eleven v3 ConversationalElevenLabs348 ms11,389
18Lightning v3.1 ProSmallest362 ms11,401
19S1Fish Audio379 ms11,393
20Grok TTSxAI397 ms11,386
21Sonic 3.6Cartesia423 ms8,210
22Simba 3.2Speechify452 ms11,393
23Simba 3.0Speechify471 ms11,396
24Chirp 3 HDGoogle535 ms11,400
25Falcon 2Murf545 ms11,397
26Qwen3 TTS Flash RealtimeAlibaba754 ms11,226
27S2.1 Pro FreeFish Audio965 ms11,366
28GPT-4o mini TTSOpenAI1013 ms11,370
Under-sampled models are excluded; tied models share a place. Dotted WER values split into substitutions, deletions and insertions on hover or tap.

Highest relative placement: 13th of 28 on Word Error Rate.

Latency vs accuracy

Where the errors come from

WER compositionCoda's Word Error Rate split by error type · 30-day averageCoda's WER split into substitutions, deletions and insertions.
  • Coda5.0%
SubstitutionsDeletionsInsertions

Averages and tail latency

Averages hide slow outliers — these are the distributions behind each figure.

Coda latency distributionMilliseconds · shared axis across metrics · last 30 daysCoda's latency percentiles per metric: p25–p75 band, p50 tick, whisker to p99.
  • Time to First Audiop50 304 ms · p99 442 ms
  • TTFA Network Roundtripp50 183 ms · p99 312 ms
  • TTFA Leading Silencep50 126 ms · p99 158 ms
band p25–p75 · tick p50 · whisker to p99 with p90 and p95 stops
Average and percentile values per metric, with the number of samples behind each row.
MetricAveragep25p50p75p90p95p99Samples
Time to First Audio312 ms282 ms304 ms333 ms383 ms404 ms442 ms11,392
TTFA Network Roundtrip190 ms159 ms183 ms204 ms260 ms275 ms312 ms11,392
TTFA Leading Silence122 ms113 ms126 ms136 ms144 ms148 ms158 ms11,392
Word Error Rate5.0%0.0%0.0%6.3%20.0%25.0%35.7%11,372

Last 30 days

Daily medians from the same measurement runs · gaps are days without qualifying runs.

Time to First Audio — daily p50Line p50 · band p25–p75 · UTC daysCoda's daily median Time to First Audio over the last 30 days.
Coda · Sep 1: 333 msCoda · Sep 2: 312 msCoda · Sep 3: 324 msCoda · Sep 4: 303 msCoda · Sep 5: 289 msCoda · Sep 6: 289 msCoda · Sep 7: 286 msCoda · Sep 8: 298 msCoda · Sep 9: 294 msCoda · Sep 10: 298 msCoda · Sep 11: 296 msCoda · Sep 12: 289 msCoda · Sep 13: 287 msCoda · Sep 14: 288 msCoda · Sep 15: 290 ms
Word Error Rate — daily averageDaily average · UTC daysCoda's daily Word Error Rate over the last 30 days.
Coda · Sep 1: 4.2%Coda · Sep 2: 4.6%Coda · Sep 3: 4.8%Coda · Sep 4: 4.9%Coda · Sep 5: 5.8%Coda · Sep 6: 6.0%Coda · Sep 7: 4.4%Coda · Sep 8: 5.0%Coda · Sep 9: 5.8%Coda · Sep 10: 5.4%Coda · Sep 11: 5.1%Coda · Sep 12: 4.1%Coda · Sep 13: 4.8%Coda · Sep 14: 4.5%Coda · Sep 15: 4.4%

Time to First Audio by dataset

Coda by test conditionMilliseconds · lower is better · best condition firstCoda's Time to First Audio on each benchmark dataset.
Time to First Audio per dataset, with the number of samples behind each figure.
DatasetTTFASamples
Text prompts312 ms11,392

Strongest condition: Text prompts at 312 ms · weakest: Text prompts at 312 ms.

How fast is Coda?

On Rime, Coda measures mean 312 ms time to first audio (15th of 28). Last measured 2026-09-15.

How accurate is Coda?

On Rime, Coda measures 5.0% word error rate (13th of 28). Last measured 2026-09-15.

Who hosts Coda?

Coda is created by Rime and served by Rime. Coval measures each hosted endpoint separately.

Limits of this comparison

Coda remains separate from Mist v3 so two Rime generations can be compared on identical prompts without treating the provider as one model.

  • Coval does not score subjective naturalness or every Rime voice; it focuses on audible startup and intelligibility.

Official sources

Results are re-measured daily using fixed datasets and reported over a rolling 30-day window. Same datasets, prompts and metric definitions for every model, measured by Coval’s open-source runner. Full methodology on the overview.

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