MINIMAXTEXT-TO-SPEECH7,980 SAMPLES / 30 DAYSLAST RUN AUG 28, 2026, 21:30 UTC

official resource

Speech 2.8 HD text-to-speech benchmarks

Speech 2.8 HD is MiniMax's quality-oriented endpoint in the Speech 2.8 family.

Time to First Audio#21 / 30
460ms
TTFA Network Roundtrip#20 / 28
334ms
TTFA Leading Silence#19 / 28
126ms
Word Error Rate#10 / 30
4.7%

Overview

Speech 2.8 HD delivers multilingual, expressive synthesis with cloning; HD and Turbo are distinct API models.

Speech 2.8 HD 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
MiniMax
Hosted by
MiniMax
Source
Official API
Licensing
Proprietary
Deployment
Cloud
Region
US
Features
Multilingual, Voice cloning, Emotion control

How Speech 2.8 HD 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 Speech 2.8 HD 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
  16. #20Flash v2.5455 ms
  17. #21Speech 2.8 HD460 ms
Show all 30 models
  1. #22Sonic 3.6466 ms
  2. #23Simba 3.2484 ms
  3. #24Chirp 3 HD512 ms
  4. #25Simba 3.0526 ms
  5. #26Falcon 2549 ms
  6. #29S2.1 Pro Free806 ms
  7. #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: 10th of 30 on Word Error Rate.

Latency vs accuracy

Where the errors come from

WER compositionSpeech 2.8 HD's Word Error Rate split by error type · 30-day averageSpeech 2.8 HD's WER split into substitutions, deletions and insertions.
  • Speech 2.8 HD4.7%
SubstitutionsDeletionsInsertions

Averages and tail latency

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

Speech 2.8 HD latency distributionMilliseconds · shared axis across metrics · last 30 daysSpeech 2.8 HD's latency percentiles per metric: p25–p75 band, p50 tick, whisker to p99.
  • Time to First Audiop50 449 ms · p99 643 ms
  • TTFA Network Roundtripp50 321 ms · p99 510 ms
  • TTFA Leading Silencep50 123 ms · p99 218 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 Audio460 ms422 ms449 ms482 ms526 ms555 ms643 ms1,995
TTFA Network Roundtrip334 ms301 ms321 ms347 ms400 ms436 ms510 ms1,995
TTFA Leading Silence126 ms109 ms123 ms136 ms154 ms167 ms218 ms1,995
Word Error Rate4.7%0.0%0.0%6.3%20.0%21.4%31.3%1,995

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 daysSpeech 2.8 HD's daily median Time to First Audio over the last 30 days.
Speech 2.8 HD · Aug 24: 472 msSpeech 2.8 HD · Aug 25: 456 msSpeech 2.8 HD · Aug 26: 444 msSpeech 2.8 HD · Aug 27: 445 msSpeech 2.8 HD · Aug 28: 442 ms
Word Error Rate — daily averageDaily average · UTC daysSpeech 2.8 HD's daily Word Error Rate over the last 30 days.
Speech 2.8 HD · Aug 24: 4.1%Speech 2.8 HD · Aug 25: 4.6%Speech 2.8 HD · Aug 26: 4.8%Speech 2.8 HD · Aug 27: 4.4%Speech 2.8 HD · Aug 28: 5.1%

Time to First Audio by dataset

Speech 2.8 HD by test conditionMilliseconds · lower is better · best condition firstSpeech 2.8 HD'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 prompts460 ms1,995

Strongest condition: Text prompts at 460 ms · weakest: Text prompts at 460 ms.

Limits of this comparison

Coval benchmarks it beside Speech 2.8 Turbo on common prompts.

  • `HD` is a product label, not a Coval quality verdict, and the benchmark has no human naturalness score.

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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