PALABRA AITEXT-TO-SPEECH45,640 SAMPLES / 30 DAYSLAST RUN SEP 15, 2026, 08:00 UTC

official resource

Palabra TTS v1 text-to-speech benchmarks

Palabra TTS v1, hosted by Palabra AI, measures mean 115 ms time to first audio (5th of 28) and 5.8% word error rate (24th of 28) among TTS systems. Results cover the last 30 days. Coval benchmarks hosted endpoints daily using a consistent evaluation methodology. Last measured .

Palabra TTS v1 is Palabra AI's synthesis API model.

TTFA Network Roundtrip#6 / 28
113ms
TTFA Leading Silence#1 / 28
2ms
Word Error Rate#24 / 28
5.8%

Overview

Palabra TTS v1 supports multilingual output, voice cloning and an on-premises deployment option.

Palabra TTS v1 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
Palabra AI
Hosted by
Palabra AI
Source
Official API
Licensing
Proprietary
Deployment
On-prem
Region
US
Features
Multilingual, Voice cloning

How Palabra TTS v1 ranks

Full TTS dashboard
Time to First Audio — every measured TTS modelMilliseconds · lower is better · 30-day averageEvery TTS model ranked on Time to First Audio, with Palabra TTS v1 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
Show all 28 models
  1. #14Aura 2308 ms
  2. #15Coda312 ms
  3. #16S2.1 Pro335 ms
  4. #19S1379 ms
  5. #20Grok TTS397 ms
  6. #21Sonic 3.6423 ms
  7. #22Simba 3.2451 ms
  8. #23Simba 3.0472 ms
  9. #24Chirp 3 HD535 ms
  10. #25Falcon 2545 ms
  11. #27S2.1 Pro Free964 ms
  12. #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 ms9,480
2Qwen3 TTS FastNari71 ms2,220
3TTS Flash 2Inworld AI91 ms11,431
4Qwen3 TTS 1.7bBaseten106 ms420
5Palabra TTS v1Palabra115 ms11,415
6TTS 2Inworld AI181 ms11,431
7Flash v2.5ElevenLabs194 ms9,148
8DefaultGradium235 ms9,157
9TTS Rt v2Soniox245 ms11,232
10TTS RT v1Soniox245 ms11,234
11Mist v3Rime258 ms11,417
12Sonic 3.5Cartesia276 ms11,430
13Phantom Z 3.4 conversationalDeepdub286 ms11,426
14Aura 2Deepgram308 ms11,416
15CodaRime312 ms11,422
16S2.1 ProFish Audio335 ms11,430
17Eleven v3 ConversationalElevenLabs348 ms11,419
18Lightning v3.1 ProSmallest362 ms11,431
19S1Fish Audio379 ms11,423
20Grok TTSxAI397 ms11,416
21Sonic 3.6Cartesia423 ms8,240
22Simba 3.2Speechify451 ms11,423
23Simba 3.0Speechify472 ms11,426
24Chirp 3 HDGoogle535 ms11,430
25Falcon 2Murf545 ms11,427
26Qwen3 TTS Flash RealtimeAlibaba753 ms11,256
27S2.1 Pro FreeFish Audio964 ms11,396
28GPT-4o mini TTSOpenAI1013 ms11,400
Under-sampled models are excluded; tied models share a place. Dotted WER values split into substitutions, deletions and insertions on hover or tap.

Latency vs accuracy

Where the errors come from

WER compositionPalabra TTS v1's Word Error Rate split by error type · 30-day averagePalabra TTS v1's WER split into substitutions, deletions and insertions.
  • Palabra TTS v15.8%
SubstitutionsDeletionsInsertions

Averages and tail latency

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

Palabra TTS v1 latency distributionMilliseconds · shared axis across metrics · last 30 daysPalabra TTS v1's latency percentiles per metric: p25–p75 band, p50 tick, whisker to p99.
  • Time to First Audiop50 104 ms · p99 303 ms
  • TTFA Network Roundtripp50 102 ms · p99 300 ms
  • TTFA Leading Silencep50 1 ms · p99 5 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 Audio115 ms98 ms104 ms115 ms129 ms147 ms303 ms11,415
TTFA Network Roundtrip113 ms95 ms102 ms114 ms127 ms145 ms300 ms11,415
TTFA Leading Silence2 ms0 ms1 ms4 ms5 ms5 ms5 ms11,415
Word Error Rate5.8%0.0%0.0%10.5%20.0%25.0%35.7%11,395

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 daysPalabra TTS v1's daily median Time to First Audio over the last 30 days.
Palabra TTS v1 · Sep 1: 102 msPalabra TTS v1 · Sep 2: 103 msPalabra TTS v1 · Sep 3: 101 msPalabra TTS v1 · Sep 4: 104 msPalabra TTS v1 · Sep 5: 103 msPalabra TTS v1 · Sep 6: 102 msPalabra TTS v1 · Sep 7: 104 msPalabra TTS v1 · Sep 8: 103 msPalabra TTS v1 · Sep 9: 103 msPalabra TTS v1 · Sep 10: 104 msPalabra TTS v1 · Sep 11: 102 msPalabra TTS v1 · Sep 12: 104 msPalabra TTS v1 · Sep 13: 104 msPalabra TTS v1 · Sep 14: 104 msPalabra TTS v1 · Sep 15: 101 ms
Word Error Rate — daily averageDaily average · UTC daysPalabra TTS v1's daily Word Error Rate over the last 30 days.
Palabra TTS v1 · Sep 1: 6.2%Palabra TTS v1 · Sep 2: 5.4%Palabra TTS v1 · Sep 3: 5.4%Palabra TTS v1 · Sep 4: 5.6%Palabra TTS v1 · Sep 5: 6.1%Palabra TTS v1 · Sep 6: 6.9%Palabra TTS v1 · Sep 7: 5.5%Palabra TTS v1 · Sep 8: 6.3%Palabra TTS v1 · Sep 9: 6.6%Palabra TTS v1 · Sep 10: 5.9%Palabra TTS v1 · Sep 11: 5.8%Palabra TTS v1 · Sep 12: 5.5%Palabra TTS v1 · Sep 13: 5.6%Palabra TTS v1 · Sep 14: 5.9%Palabra TTS v1 · Sep 15: 6.3%

Time to First Audio by dataset

Palabra TTS v1 by test conditionMilliseconds · lower is better · best condition firstPalabra TTS v1'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 prompts115 ms11,415

Strongest condition: Text prompts at 115 ms · weakest: Text prompts at 115 ms.

How fast is Palabra TTS v1?

On Palabra AI, Palabra TTS v1 measures mean 115 ms time to first audio (5th of 28). Last measured 2026-09-15.

How accurate is Palabra TTS v1?

On Palabra AI, Palabra TTS v1 measures 5.8% word error rate (24th of 28). Last measured 2026-09-15.

Who hosts Palabra TTS v1?

Palabra TTS v1 is created by Palabra AI and served by Palabra AI. Coval measures each hosted endpoint separately.

Limits of this comparison

Coval benchmarks it independently from Palabra's translation products, focusing on audible startup and intelligibility.

  • The benchmark does not measure live translation quality, dubbing alignment or speaker similarity.

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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