Voice AI BenchmarksBy

ELEVENLABSTEXT-TO-SPEECH27,000 SAMPLES / 30 DAYSLAST RUN AUG 28, 2026, 21:30 UTC

official resource

Eleven v3 Conversational text-to-speech benchmarks

Eleven v3 is ElevenLabs' expressive text-to-speech model, tuned for natural-sounding conversation rather than raw speed.

Time to First Audio#17 / 30
412ms
TTFA Network Roundtrip#18 / 28
324ms
TTFA Leading Silence#14 / 28
88ms
Word Error Rate#4 / 30
4.4%

Overview

Eleven v3 pairs multilingual synthesis with voice cloning and emotion controls for natural, expressive delivery.

Eleven v3 Conversational 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
ElevenLabs
Hosted by
ElevenLabs
Source
Official API
Licensing
Proprietary
Deployment
Cloud
Region
US
Features
Multilingual, Voice cloning, Emotion control

How Eleven v3 Conversational 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 Eleven v3 Conversational highlighted.
  1. #1Palabra TTS v1116 ms
  2. #2vui124 ms
  3. #3TTS Flash 2128 ms
  4. #4TTS 2176 ms
  5. #5Blizzard235 ms
  6. #6Neural236 ms
  7. #7Mist v3256 ms
  8. #8TTS Rt v2262 ms
  9. #9Sonic 3.5274 ms
  10. #10TTS RT v1275 ms
  11. #11Dragon HD Latest310 ms
  12. #12Coda313 ms
  13. #13Aura 2328 ms
  14. #14S2.1 Pro374 ms
  15. #15Default384 ms
  16. #16Speech 2.8 Turbo411 ms
  17. #17Eleven v3 Conversational412 ms
Show all 30 models
  1. #18Grok TTS420 ms
  2. #19S1434 ms
  3. #20Flash v2.5455 ms
  4. #21Speech 2.8 HD460 ms
  5. #22Sonic 3.6466 ms
  6. #23Simba 3.2484 ms
  7. #24Chirp 3 HD512 ms
  8. #25Simba 3.0526 ms
  9. #26Falcon 2549 ms
  10. #27Lightning v3.1 Pro586 ms
  11. #28Qwen3 TTS Flash Realtime645 ms
  12. #29S2.1 Pro Free806 ms
  13. #30GPT-4o mini TTS1075 ms
median of all models · 397 ms
TTS models over the last 30 days, ranked on Time to First Audio.
#ModelHostTTFAWERSamples
1Palabra TTS v1Palabra116 ms5.9%14,396
2vuiFluxions124 ms8,624
3TTS Flash 2Inworld AI128 ms8,719
4TTS 2Inworld AI176 ms4.8%14,529
5BlizzardLmnt235 ms7.4%14,117
6NeuralAzure236 ms4.3%3,350
7Mist v3Rime256 ms6.3%14,524
8TTS Rt v2Soniox262 ms8,849
9Sonic 3.5Cartesia274 ms6.1%14,513
10TTS RT v1Soniox275 ms3.7%14,528
11Dragon HD LatestAzure310 ms5.1%3,350
12CodaRime313 ms5.2%14,523
13Aura 2Deepgram328 ms5.3%14,501
14S2.1 ProFish Audio374 ms10,222
15DefaultGradium384 ms4.6%14,002
16Speech 2.8 TurboMiniMax411 ms4.8%1,997
17Eleven v3 ConversationalElevenLabs412 ms6,750
18Grok TTSxAI420 ms4.7%14,524
19S1Fish Audio434 ms4.9%10,236
20Flash v2.5ElevenLabs455 ms6.7%9,259
21Speech 2.8 HDMiniMax460 ms1,995
22Sonic 3.6Cartesia466 ms560
23Simba 3.2Speechify484 ms4.7%14,525
24Chirp 3 HDGoogle512 ms5.2%14,530
25Simba 3.0Speechify526 ms5.3%14,526
26Falcon 2Murf549 ms10,229
27Lightning v3.1 ProSmallest586 ms4.4%14,515
28Qwen3 TTS Flash RealtimeAlibaba645 ms8.8%14,530
29S2.1 Pro FreeFish Audio806 ms4.7%14,464
30GPT-4o mini TTSOpenAI1075 ms4.8%14,517
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: 4th of 30 on Word Error Rate.

Latency vs accuracy

TTFA vs WEREach point is one measured model · Eleven v3 Conversational highlighted · 30-day averagesTime to First Audio against Word Error Rate for every measured TTS model, with Eleven v3 Conversational highlighted.
Palabra TTS v1 — 116 ms, 5.9%vui — 124 ms, 7.9%TTS Flash 2 — 128 ms, 4.9%TTS 2 — 176 ms, 4.8%Blizzard — 235 ms, 7.4%Neural — 236 ms, 4.3%Mist v3 — 256 ms, 6.3%TTS Rt v2 — 262 ms, 3.9%Sonic 3.5 — 274 ms, 6.1%TTS RT v1 — 275 ms, 3.7%Dragon HD Latest — 310 ms, 5.1%Coda — 313 ms, 5.2%Aura 2 — 328 ms, 5.3%S2.1 Pro — 374 ms, 4.6%Default — 384 ms, 4.6%Speech 2.8 Turbo — 411 ms, 4.8%Grok TTS — 420 ms, 4.7%S1 — 434 ms, 4.9%Flash v2.5 — 455 ms, 6.7%Speech 2.8 HD — 460 ms, 4.7%Sonic 3.6 — 466 ms, 5.5%Simba 3.2 — 484 ms, 4.7%Chirp 3 HD — 512 ms, 5.2%Simba 3.0 — 526 ms, 5.3%Falcon 2 — 549 ms, 5.2%Lightning v3.1 Pro — 586 ms, 4.4%Qwen3 TTS Flash Realtime — 645 ms, 8.8%S2.1 Pro Free — 806 ms, 4.7%GPT-4o mini TTS — 1075 ms, 4.8%Eleven v3 Conversational — 412 ms, 4.4%

Where the errors come from

WER compositionEleven v3 Conversational's Word Error Rate split by error type · 30-day averageEleven v3 Conversational's WER split into substitutions, deletions and insertions.
  • Eleven v3 Conversational4.4%
SubstitutionsDeletionsInsertions

Averages and tail latency

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

Eleven v3 Conversational latency distributionMilliseconds · shared axis across metrics · last 30 daysEleven v3 Conversational's latency percentiles per metric: p25–p75 band, p50 tick, whisker to p99.
  • Time to First Audiop50 390 ms · p99 794 ms
  • TTFA Network Roundtripp50 297 ms · p99 693 ms
  • TTFA Leading Silencep50 94 ms · p99 188 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 Audio412 ms340 ms390 ms464 ms529 ms580 ms794 ms6,750
TTFA Network Roundtrip324 ms264 ms297 ms360 ms418 ms471 ms693 ms6,750
TTFA Leading Silence88 ms46 ms94 ms116 ms137 ms153 ms188 ms6,750
Word Error Rate4.4%0.0%0.0%6.3%20.0%20.0%35.7%6,750

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 daysEleven v3 Conversational's daily median Time to First Audio over the last 30 days.
Eleven v3 Conversational · Aug 14: 514 msEleven v3 Conversational · Aug 15: 494 msEleven v3 Conversational · Aug 16: 482 msEleven v3 Conversational · Aug 17: 503 msEleven v3 Conversational · Aug 18: 458 msEleven v3 Conversational · Aug 19: 393 msEleven v3 Conversational · Aug 20: 385 msEleven v3 Conversational · Aug 21: 386 msEleven v3 Conversational · Aug 22: 371 msEleven v3 Conversational · Aug 23: 366 msEleven v3 Conversational · Aug 24: 369 msEleven v3 Conversational · Aug 25: 321 msEleven v3 Conversational · Aug 26: 330 msEleven v3 Conversational · Aug 27: 325 msEleven v3 Conversational · Aug 28: 332 ms
Word Error Rate — daily averageDaily average · UTC daysEleven v3 Conversational's daily Word Error Rate over the last 30 days.
Eleven v3 Conversational · Aug 14: 1.4%Eleven v3 Conversational · Aug 15: 4.0%Eleven v3 Conversational · Aug 16: 4.7%Eleven v3 Conversational · Aug 17: 4.5%Eleven v3 Conversational · Aug 18: 4.3%Eleven v3 Conversational · Aug 19: 4.5%Eleven v3 Conversational · Aug 20: 4.9%Eleven v3 Conversational · Aug 21: 4.1%Eleven v3 Conversational · Aug 22: 4.4%Eleven v3 Conversational · Aug 23: 4.4%Eleven v3 Conversational · Aug 24: 4.3%Eleven v3 Conversational · Aug 25: 4.2%Eleven v3 Conversational · Aug 26: 4.8%Eleven v3 Conversational · Aug 27: 4.0%Eleven v3 Conversational · Aug 28: 4.7%

Time to First Audio by dataset

Eleven v3 Conversational by test conditionMilliseconds · lower is better · best condition firstEleven v3 Conversational's Time to First Audio on each benchmark dataset.
  1. Text prompts412 ms
Time to First Audio per dataset, with the number of samples behind each figure.
DatasetTTFASamples
Text prompts412 ms6,750

Strongest condition: Text prompts at 412 ms · weakest: Text prompts at 412 ms.

Limits of this comparison

Eleven v3 receives the same prompts as other measured TTS models and has separate results from Eleven Flash.

  • Fixed prompts and WER do not capture the full expressiveness or conversational appropriateness the model targets.

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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