FLUXIONSTEXT-TO-SPEECH37,900 SAMPLES / 30 DAYSLAST RUN SEP 15, 2026, 08:00 UTC
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.
- Time to First Audio#1 / 28
- 66ms
- 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.
How vui ranks
Full TTS dashboard- #4Qwen3 TTS 1.7bDedicated inference. Shared endpoints serve many customers on the same infrastructure, while dedicated endpoints run on hardware reserved for a single customer.106 ms
Show all 28 modelsShow fewer
Show all 28 modelsShow fewer
- #22Qwen3 TTS 1.7bDedicated inference. Shared endpoints serve many customers on the same infrastructure, while dedicated endpoints run on hardware reserved for a single customer.5.5%
| # | Model | Host | TTFA | WER | Samples |
|---|---|---|---|---|---|
| 1 | vui | Fluxions | 66 ms | 9,480 | |
| 2 | Qwen3 TTS Fast | Nari | 71 ms | 2,220 | |
| 3 | TTS Flash 2 | Inworld AI | 91 ms | 11,431 | |
| 4 | Qwen3 TTS 1.7b | Baseten | 106 ms | 420 | |
| 5 | Palabra TTS v1 | Palabra | 115 ms | 11,415 | |
| 6 | TTS 2 | Inworld AI | 181 ms | 11,431 | |
| 7 | Flash v2.5 | ElevenLabs | 194 ms | 9,148 | |
| 8 | Default | Gradium | 235 ms | 9,157 | |
| 9 | TTS Rt v2 | Soniox | 245 ms | 11,232 | |
| 10 | TTS RT v1 | Soniox | 245 ms | 11,234 | |
| 11 | Mist v3 | Rime | 258 ms | 11,417 | |
| 12 | Sonic 3.5 | Cartesia | 276 ms | 11,430 | |
| 13 | Phantom Z 3.4 conversational | Deepdub | 286 ms | 11,426 | |
| 14 | Aura 2 | Deepgram | 308 ms | 11,416 | |
| 15 | Coda | Rime | 312 ms | 11,422 | |
| 16 | S2.1 Pro | Fish Audio | 335 ms | 11,430 | |
| 17 | Eleven v3 Conversational | ElevenLabs | 348 ms | 11,419 | |
| 18 | Lightning v3.1 Pro | Smallest | 362 ms | 11,431 | |
| 19 | S1 | Fish Audio | 379 ms | 11,423 | |
| 20 | Grok TTS | xAI | 397 ms | 11,416 | |
| 21 | Sonic 3.6 | Cartesia | 423 ms | 8,240 | |
| 22 | Simba 3.2 | Speechify | 451 ms | 11,423 | |
| 23 | Simba 3.0 | Speechify | 472 ms | 11,426 | |
| 24 | Chirp 3 HD | 535 ms | 11,430 | ||
| 25 | Falcon 2 | Murf | 545 ms | 11,427 | |
| 26 | Qwen3 TTS Flash Realtime | Alibaba | 753 ms | 11,256 | |
| 27 | S2.1 Pro Free | Fish Audio | 964 ms | 11,396 | |
| 28 | GPT-4o mini TTS | OpenAI | 1013 ms | 11,400 |
Latency vs accuracy
Where the errors come from
- vui5.4%
Averages and tail latency
Averages hide slow outliers — these are the distributions behind each figure.
- 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
- vuip50 0.0% · p99 35.7%
| Metric | Average | p25 | p50 | p75 | p90 | p95 | p99 | Samples |
|---|---|---|---|---|---|---|---|---|
| Time to First Audio | 66 ms | 33 ms | 60 ms | 85 ms | 114 ms | 130 ms | 167 ms | 9,480 |
| TTFA Network Roundtrip | 42 ms | 24 ms | 26 ms | 65 ms | 81 ms | 90 ms | 115 ms | 9,480 |
| TTFA Leading Silence | 24 ms | 0 ms | 23 ms | 37 ms | 54 ms | 65 ms | 90 ms | 9,480 |
| Word Error Rate | 5.4% | 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 by dataset
- Text prompts66 ms
| Dataset | TTFA | Samples |
|---|---|---|
| Text prompts | 66 ms | 9,480 |
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.
Evaluate your own voice agent
Use Coval to test your production configuration, prompts and calls—not only the public benchmark endpoints.