FISH AUDIOTEXT-TO-SPEECH40,942 SAMPLES / 30 DAYSLAST RUN AUG 28, 2026, 21:30 UTC

official resource

S1 text-to-speech benchmarks

S1 is Fish Audio's earlier text-to-speech generation, still served alongside the newer S2.1 line.

Time to First Audio#19 / 30
434ms
TTFA Network Roundtrip#17 / 28
316ms
TTFA Leading Silence#16 / 28
118ms
Word Error Rate#16 / 30
4.9%

Overview

Fish Audio provides S1 through its cloud API with multilingual, cloning and emotion-control capabilities.

S1 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
Fish Audio
Hosted by
Fish Audio
Source
Official API
Licensing
Proprietary
Deployment
Cloud
Region
US
Features
Multilingual, Voice cloning, Emotion control
Time to First Audio — every measured TTS modelMilliseconds · lower is better · 30-day averageEvery TTS model ranked on Time to First Audio, with S1 highlighted.
  1. #2vui124 ms
  2. #3TTS Flash 2128 ms
  3. #4TTS 2176 ms
  4. #5Blizzard235 ms
  5. #6Neural236 ms
  6. #7Mist v3256 ms
  7. #8TTS Rt v2262 ms
  8. #9Sonic 3.5274 ms
  9. #10TTS RT v1275 ms
  10. #12Coda313 ms
  11. #13Aura 2328 ms
  12. #14S2.1 Pro374 ms
  13. #15Default384 ms
  14. #18Grok TTS420 ms
  15. #19S1434 ms
Show all 30 models
  1. #20Flash v2.5455 ms
  2. #21Speech 2.8 HD460 ms
  3. #22Sonic 3.6466 ms
  4. #23Simba 3.2484 ms
  5. #24Chirp 3 HD512 ms
  6. #25Simba 3.0526 ms
  7. #26Falcon 2549 ms
  8. #29S2.1 Pro Free806 ms
  9. #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: 16th of 30 on Word Error Rate.

Latency vs accuracy

Averages and tail latency

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

S1 latency distributionMilliseconds · shared axis across metrics · last 30 daysS1's latency percentiles per metric: p25–p75 band, p50 tick, whisker to p99.
  • Time to First Audiop50 416 ms · p99 990 ms
  • TTFA Network Roundtripp50 287 ms · p99 867 ms
  • TTFA Leading Silencep50 120 ms · p99 269 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 Audio434 ms348 ms416 ms482 ms546 ms647 ms990 ms10,236
TTFA Network Roundtrip316 ms260 ms287 ms323 ms375 ms504 ms867 ms10,235
TTFA Leading Silence118 ms43 ms120 ms178 ms221 ms238 ms269 ms10,235
Word Error Rate4.9%0.0%0.0%9.5%20.0%22.2%32.0%10,236

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 daysS1's daily median Time to First Audio over the last 30 days.
S1 · Jul 31: 535 msS1 · Aug 7: 414 msS1 · Aug 8: 431 msS1 · Aug 9: 433 msS1 · Aug 10: 468 msS1 · Aug 11: 450 msS1 · Aug 12: 442 msS1 · Aug 13: 472 msS1 · Aug 14: 504 msS1 · Aug 15: 424 msS1 · Aug 16: 411 msS1 · Aug 17: 413 msS1 · Aug 18: 431 msS1 · Aug 19: 367 msS1 · Aug 20: 415 msS1 · Aug 21: 359 msS1 · Aug 22: 392 msS1 · Aug 23: 360 msS1 · Aug 24: 396 msS1 · Aug 25: 357 msS1 · Aug 26: 357 msS1 · Aug 27: 394 msS1 · Aug 28: 357 ms
Word Error Rate — daily averageDaily average · UTC daysS1's daily Word Error Rate over the last 30 days.
S1 · Jul 31: 0.0%S1 · Aug 7: 11.4%S1 · Aug 8: 5.6%S1 · Aug 9: 5.4%S1 · Aug 10: 5.6%S1 · Aug 11: 5.3%S1 · Aug 12: 5.3%S1 · Aug 13: 3.9%S1 · Aug 14: 5.2%S1 · Aug 15: 4.3%S1 · Aug 16: 5.0%S1 · Aug 17: 5.6%S1 · Aug 18: 5.4%S1 · Aug 19: 5.0%S1 · Aug 20: 5.1%S1 · Aug 21: 5.1%S1 · Aug 22: 4.9%S1 · Aug 23: 5.3%S1 · Aug 24: 5.1%S1 · Aug 25: 4.7%S1 · Aug 26: 5.7%S1 · Aug 27: 5.4%S1 · Aug 28: 5.2%

Time to First Audio by dataset

S1 by test conditionMilliseconds · lower is better · best condition firstS1'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 prompts434 ms10,236

Strongest condition: Text prompts at 434 ms · weakest: Text prompts at 434 ms.

Limits of this comparison

S1 receives the same prompts as S2.1 Pro so the two generations can be compared directly.

  • The fixed benchmark voice does not establish clone similarity, emotion quality or performance for every language.

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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