FLUXIONSTEXT-TO-SPEECH37,900 SAMPLES / 30 DAYSLAST RUN SEP 15, 2026, 08:00 UTC

official resource

vui text-to-speech benchmarks

vui, hosted by Fluxions, measures mean 66 ms time to first audio (1st of 28) and 5.4% word error rate (21st of 28) among TTS systems. Results cover the last 30 days. Coval benchmarks hosted endpoints daily using a consistent evaluation methodology. Last measured .

Vui is Fluxions' real-time text-to-speech model.

TTFA Network Roundtrip#1 / 28
42ms
TTFA Leading Silence#8 / 28
24ms
Word Error Rate#21 / 28
5.4%

Overview

Vui supports voice cloning and emotion controls, and Fluxions both creates and hosts the measured endpoint.

vui 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
Fluxions
Hosted by
Fluxions
Source
Official API
Licensing
Proprietary
Deployment
Cloud
Region
US
Features
Emotion control, Voice cloning
Time to First Audio — every measured TTS modelMilliseconds · lower is better · 30-day averageEvery TTS model ranked on Time to First Audio, with vui 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 compositionvui's Word Error Rate split by error type · 30-day averagevui's WER split into substitutions, deletions and insertions.
  • vui5.4%
SubstitutionsDeletionsInsertions

Averages and tail latency

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

vui latency distributionMilliseconds · shared axis across metrics · last 30 daysvui's latency percentiles per metric: p25–p75 band, p50 tick, whisker to p99.
  • Time to First Audiop50 60 ms · p99 167 ms
  • TTFA Network Roundtripp50 26 ms · p99 115 ms
  • TTFA Leading Silencep50 23 ms · p99 90 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 Audio66 ms33 ms60 ms85 ms114 ms130 ms167 ms9,480
TTFA Network Roundtrip42 ms24 ms26 ms65 ms81 ms90 ms115 ms9,480
TTFA Leading Silence24 ms0 ms23 ms37 ms54 ms65 ms90 ms9,480
Word Error Rate5.4%0.0%0.0%7.7%16.7%25.0%35.7%9,460

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 daysvui's daily median Time to First Audio over the last 30 days.
vui · Sep 1: 56 msvui · Sep 2: 51 msvui · Sep 3: 45 msvui · Sep 4: 62 msvui · Sep 5: 68 msvui · Sep 6: 50 msvui · Sep 7: 49 msvui · Sep 8: 44 msvui · Sep 9: 43 msvui · Sep 10: 53 msvui · Sep 11: 47 msvui · Sep 12: 47 msvui · Sep 13: 50 msvui · Sep 14: 52 msvui · Sep 15: 43 ms
Word Error Rate — daily averageDaily average · UTC daysvui's daily Word Error Rate over the last 30 days.
vui · Sep 1: 3.2%vui · Sep 2: 5.4%vui · Sep 3: 5.9%vui · Sep 4: 12.9%vui · Sep 5: 8.6%vui · Sep 6: 7.0%vui · Sep 7: 5.0%vui · Sep 8: 5.5%vui · Sep 9: 5.5%vui · Sep 10: 6.2%vui · Sep 11: 6.1%vui · Sep 12: 5.2%vui · Sep 13: 5.8%vui · Sep 14: 4.9%vui · Sep 15: 4.7%

Time to First Audio by dataset

vui by test conditionMilliseconds · lower is better · best condition firstvui'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 prompts66 ms9,480

Strongest condition: Text prompts at 66 ms · weakest: Text prompts at 66 ms.

How fast is vui?

On Fluxions, vui measures mean 66 ms time to first audio (1st of 28). Last measured 2026-09-15.

How accurate is vui?

On Fluxions, vui measures 5.4% word error rate (21st of 28). Last measured 2026-09-15.

Who hosts vui?

vui is created by Fluxions and served by Fluxions. Coval measures each hosted endpoint separately.

Limits of this comparison

Coval benchmarks the managed API as a named endpoint and reports first-audio timing plus transcript-derived intelligibility.

  • The benchmark does not measure emotional faithfulness, clone similarity or subjective voice preference.

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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