Voice AI BenchmarksBy

LMNTTEXT-TO-SPEECH50,544 SAMPLES / 30 DAYSLAST RUN AUG 28, 2026, 21:30 UTC

official resource

Blizzard text-to-speech benchmarks

Blizzard is LMNT's real-time text-to-speech model.

Time to First Audio#5 / 30
235ms
TTFA Network Roundtrip#9 / 28
153ms
TTFA Leading Silence#13 / 28
84ms
Word Error Rate#28 / 30
7.4%

Overview

Blizzard is built for low-latency streaming and multilingual voice generation, with voice cloning available on the service.

Blizzard 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
Lmnt
Hosted by
Lmnt
Source
Official API
Licensing
Proprietary
Deployment
Cloud
Region
US
Features
Multilingual, Voice cloning

How Blizzard 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 Blizzard 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
Show all 30 models
  1. #13Aura 2328 ms
  2. #14S2.1 Pro374 ms
  3. #15Default384 ms
  4. #16Speech 2.8 Turbo411 ms
  5. #17Eleven v3 Conversational412 ms
  6. #18Grok TTS420 ms
  7. #19S1434 ms
  8. #20Flash v2.5455 ms
  9. #21Speech 2.8 HD460 ms
  10. #22Sonic 3.6466 ms
  11. #23Simba 3.2484 ms
  12. #24Chirp 3 HD512 ms
  13. #25Simba 3.0526 ms
  14. #26Falcon 2549 ms
  15. #27Lightning v3.1 Pro586 ms
  16. #28Qwen3 TTS Flash Realtime645 ms
  17. #29S2.1 Pro Free806 ms
  18. #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.

Latency vs accuracy

TTFA vs WEREach point is one measured model · Blizzard highlighted · 30-day averagesTime to First Audio against Word Error Rate for every measured TTS model, with Blizzard 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%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%Eleven v3 Conversational — 412 ms, 4.4%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%Blizzard — 235 ms, 7.4%

Averages and tail latency

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

Blizzard latency distributionMilliseconds · shared axis across metrics · last 30 daysBlizzard's latency percentiles per metric: p25–p75 band, p50 tick, whisker to p99.
  • Time to First Audiop50 209 ms · p99 472 ms
  • TTFA Network Roundtripp50 139 ms · p99 251 ms
  • TTFA Leading Silencep50 59 ms · p99 298 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 Audio235 ms190 ms209 ms250 ms333 ms400 ms472 ms14,117
TTFA Network Roundtrip153 ms130 ms139 ms169 ms198 ms210 ms251 ms11,155
TTFA Leading Silence84 ms55 ms59 ms77 ms166 ms254 ms298 ms11,155
Word Error Rate7.4%0.0%0.0%9.5%21.4%36.0%84.5%14,117

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 daysBlizzard's daily median Time to First Audio over the last 30 days.
Blizzard · Jul 31: 210 msBlizzard · Aug 1: 192 msBlizzard · Aug 2: 215 msBlizzard · Aug 3: 193 msBlizzard · Aug 4: 201 msBlizzard · Aug 5: 208 msBlizzard · Aug 6: 191 msBlizzard · Aug 7: 214 msBlizzard · Aug 8: 230 msBlizzard · Aug 9: 202 msBlizzard · Aug 10: 219 msBlizzard · Aug 11: 208 msBlizzard · Aug 12: 202 msBlizzard · Aug 13: 192 msBlizzard · Aug 14: 199 msBlizzard · Aug 15: 247 msBlizzard · Aug 16: 213 msBlizzard · Aug 17: 218 msBlizzard · Aug 18: 209 msBlizzard · Aug 19: 212 msBlizzard · Aug 20: 196 msBlizzard · Aug 21: 250 msBlizzard · Aug 22: 197 msBlizzard · Aug 23: 213 msBlizzard · Aug 24: 219 msBlizzard · Aug 25: 248 msBlizzard · Aug 26: 217 msBlizzard · Aug 27: 224 msBlizzard · Aug 28: 217 ms
Word Error Rate — daily averageDaily average · UTC daysBlizzard's daily Word Error Rate over the last 30 days.
Blizzard · Jul 31: 6.6%Blizzard · Aug 1: 9.9%Blizzard · Aug 2: 7.5%Blizzard · Aug 3: 9.4%Blizzard · Aug 4: 9.6%Blizzard · Aug 5: 4.7%Blizzard · Aug 6: 8.1%Blizzard · Aug 7: 10.4%Blizzard · Aug 8: 8.9%Blizzard · Aug 9: 12.5%Blizzard · Aug 10: 9.2%Blizzard · Aug 11: 11.5%Blizzard · Aug 12: 10.7%Blizzard · Aug 13: 10.1%Blizzard · Aug 14: 11.6%Blizzard · Aug 15: 12.4%Blizzard · Aug 16: 10.4%Blizzard · Aug 17: 9.8%Blizzard · Aug 18: 13.5%Blizzard · Aug 19: 12.7%Blizzard · Aug 20: 14.1%Blizzard · Aug 21: 10.8%Blizzard · Aug 22: 12.5%Blizzard · Aug 23: 10.1%Blizzard · Aug 24: 9.6%Blizzard · Aug 25: 10.7%Blizzard · Aug 26: 10.8%Blizzard · Aug 27: 10.2%Blizzard · Aug 28: 9.4%

Time to First Audio by dataset

Blizzard by test conditionMilliseconds · lower is better · best condition firstBlizzard's Time to First Audio on each benchmark dataset.
  1. Text prompts235 ms
Time to First Audio per dataset, with the number of samples behind each figure.
DatasetTTFASamples
Text prompts235 ms14,117

Strongest condition: Text prompts at 235 ms · weakest: Text prompts at 235 ms.

Limits of this comparison

Coval calls LMNT's API with the common prompt set and waits for audible speech rather than stopping the clock when a silent stream begins.

  • The benchmark uses a fixed voice and does not score speaker similarity or every language offered by LMNT.

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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