Voice AI BenchmarksBy

GUAVASPEECH-TO-TEXT23,970 SAMPLES / 30 DAYSLAST RUN OCT 13, 2026, 00:00 UTC

Daytona STT speech-to-text benchmarks

Daytona STT, hosted by Guava, measures mean 399 ms time to final segment (22nd of 29) and 5.0% word error rate (19th of 31) among STT systems. Results cover the last 30 days. Coval benchmarks hosted endpoints daily using a consistent evaluation methodology. Last measured .

Coval has active speech-to-text measurements for Daytona STT, created by Guava and served through Guava's own API.

Time to Final Segment#22 / 29
399ms
Word Error Rate#19 / 31
5%
Time to First Token#25 / 27
5700ms

Overview

Daytona STT is tested every day on fixed public audio — clean, accented, noisy, reverberant, far-field, clipped and phone-codec speech — for transcription accuracy and streaming latency.

Technical specifications

Made by
Guava
Hosted by
Guava
Source
Shared inference
Licensing
Open-weight
Deployment
On-prem
Region
US
Features
VAD

How Daytona STT ranks

Full STT dashboard
Time to Final Segment — every measured STT modelMilliseconds · lower is better · 30-day averageEvery STT model ranked on Time to Final Segment, with Daytona STT highlighted.
  1. #1Qwen3 ASR 1.7b39 ms
  2. #2STT RT v545 ms
  3. #3Qwen3 ASR Fast47 ms
  4. #4STT 166 ms
  5. #5Nova 385 ms
  6. #6Nova 287 ms
  7. #7Parakeet TDT 0.6B v397 ms
  8. #8Flux Multilingual98 ms
  9. #9Flux99 ms
  10. #10Scribe v2 Realtime122 ms
  11. #11Whisper Large v3via Baseten131 ms
  12. #12Universal 3.6 Pro136 ms
  13. #13Ink 2148 ms
  14. #14Universal 3.5 Pro167 ms
  15. #15Whisper Large v3via Together AI200 ms
  16. #16Pulse205 ms
  17. #17Grok STT224 ms
  18. #18resonant-1252 ms
  19. #19Default257 ms
  20. #20Linden 1270 ms
  21. #21Gemini 3.5 Transcribe Live317 ms
  22. #22Daytona STT399 ms
Show all 29 models
  1. #23Voxtral Mini Transcribe Realtime 2602410 ms
  2. #24GPT Realtime Whisper599 ms
  3. #25Solaria 1640 ms
  4. #26GPT-4o mini Transcribe707 ms
  5. #27Chirp 3768 ms
  6. #28GPT-4o Transcribe783 ms
  7. #29Chirp 2908 ms
median of all models · 200 ms
STT models over the last 30 days, ranked on Time to Final Segment.
#ModelHostTTFSWERTTFTSamples
1Qwen3 ASR 1.7bBaseten39 ms945 ms13,270
2STT RT v5Soniox45 ms1518 ms23,533
3Qwen3 ASR FastNari Labs47 ms1752 ms26,652
4STT 1Inworld AI66 ms1214 ms24,749
5Nova 3Deepgram85 ms1431 ms26,002
6Nova 2Deepgram87 ms1417 ms25,960
7Parakeet TDT 0.6B v3Together AI97 ms1229 ms26,460
8Flux MultilingualDeepgram98 ms1165 ms26,007
9FluxDeepgram99 ms1091 ms26,005
10Scribe v2 RealtimeElevenLabs122 ms2158 ms26,640
11Whisper Large v3Baseten131 ms923 ms13,264
12Universal 3.6 ProAssemblyAI136 ms1072 ms24,052
13Ink 2Cartesia148 ms1965 ms26,652
14Universal 3.5 ProAssemblyAI167 ms1025 ms26,654
15Whisper Large v3Together AI200 ms1262 ms26,445
16PulseSmallest205 ms1976 ms26,654
17Grok STTSpaceXAI224 ms—26,576
18resonant-1Reson8252 ms—26,653
19DefaultGradium257 ms1986 ms26,632
20Linden 1Speechmatics270 ms1537 ms26,595
21Gemini 3.5 Transcribe LiveGemini317 ms1610 ms26,567
22Daytona STTGuava399 ms5700 ms4,794
23Voxtral Mini Transcribe Realtime 2602Mistral410 ms1852 ms26,199
24GPT Realtime WhisperOpenAI599 ms1824 ms26,622
25Solaria 1Gladia640 ms1786 ms26,195
26GPT-4o mini TranscribeOpenAI707 ms—26,621
27Chirp 3Google768 ms5957 ms26,638
28GPT-4o TranscribeOpenAI783 ms—26,625
29Chirp 2Google908 ms6098 ms26,650
—Nemotron 3.5 ASR StreamingTogether AI—1544 ms26,542
—Universal StreamingAssemblyAI—1508 ms26,623
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: 19th of 31 on Word Error Rate.

Latency vs accuracy

TTFS vs WEREach point is one measured model · Daytona STT highlighted · 30-day averagesTime to Final Segment against Word Error Rate for every measured STT model, with Daytona STT highlighted.
Qwen3 ASR 1.7b — 39 ms, 2.9%STT RT v5 — 45 ms, 4.8%Qwen3 ASR Fast — 47 ms, 2.6%STT 1 — 66 ms, 7.0%Nova 3 — 85 ms, 5.3%Nova 2 — 87 ms, 6.7%Parakeet TDT 0.6B v3 — 97 ms, 11.1%Flux Multilingual — 98 ms, 7.5%Flux — 99 ms, 5.8%Scribe v2 Realtime — 122 ms, 4.4%Whisper Large v3 via Baseten — 131 ms, 4.5%Universal 3.6 Pro — 136 ms, 2.1%Ink 2 — 148 ms, 3.6%Universal 3.5 Pro — 167 ms, 2.4%Whisper Large v3 via Together AI — 200 ms, 7.4%Pulse — 205 ms, 4.6%Grok STT — 224 ms, 4.1%resonant-1 — 252 ms, 2.6%Default — 257 ms, 8.8%Linden 1 — 270 ms, 3.9%Gemini 3.5 Transcribe Live — 317 ms, 3.0%Voxtral Mini Transcribe Realtime 2602 — 410 ms, 5.4%GPT Realtime Whisper — 599 ms, 4.0%Solaria 1 — 640 ms, 6.1%GPT-4o mini Transcribe — 707 ms, 3.9%Chirp 3 — 768 ms, 3.2%GPT-4o Transcribe — 783 ms, 3.8%Chirp 2 — 908 ms, 3.9%Daytona STT — 399 ms, 5.0%

Where the errors come from

WER compositionDaytona STT's Word Error Rate split by error type · 30-day averageDaytona STT's WER split into substitutions, deletions and insertions.
  • Daytona STT5.0%
SubstitutionsDeletionsInsertions

Averages and tail latency

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

Daytona STT latency distributionMilliseconds · shared axis across metrics · last 30 daysDaytona STT's latency percentiles per metric: p25–p75 band, p50 tick, whisker to max.
  • Time to Final Segmentp50 391 ms · Max 1474 ms
  • Time to First Tokenp50 5343 ms · Max 14582 ms
band p25–p75 · tick p50 · whisker to max with p90 and p95 stops
Average and percentile values per metric, with the number of samples behind each row.
MetricAveragep25p50p75p90p95MaxSamples
Time to Final Segment399 ms372 ms391 ms419 ms457 ms481 ms1474 ms4,794
Word Error Rate5.0%0.0%0.0%7.9%15.9%23.5%100.0%4,794
Time to First Token5700 ms3885 ms5343 ms7048 ms9212 ms10381 ms14582 ms4,794

Last 30 days

Daily medians from the same measurement runs · gaps are days without qualifying runs.

Time to Final Segment — daily p50Line p50 · band p25–p75 · UTC daysDaytona STT's daily median Time to Final Segment over the last 30 days.
Daytona STT · Oct 3: 397 msDaytona STT · Oct 4: 397 msDaytona STT · Oct 5: 400 msDaytona STT · Oct 6: 395 msDaytona STT · Oct 7: 389 msDaytona STT · Oct 8: 388 msDaytona STT · Oct 9: 393 msDaytona STT · Oct 10: 388 msDaytona STT · Oct 11: 385 msDaytona STT · Oct 12: 383 msDaytona STT · Oct 13: 385 ms
Word Error Rate — daily averageDaily average · UTC daysDaytona STT's daily Word Error Rate over the last 30 days.
Daytona STT · Oct 3: 5.0%Daytona STT · Oct 4: 5.4%Daytona STT · Oct 5: 5.2%Daytona STT · Oct 6: 5.5%Daytona STT · Oct 7: 6.7%Daytona STT · Oct 8: 5.5%Daytona STT · Oct 9: 6.0%Daytona STT · Oct 10: 5.4%Daytona STT · Oct 11: 5.2%Daytona STT · Oct 12: 5.3%Daytona STT · Oct 13: 5.8%

Time to Final Segment by dataset

Daytona STT by test conditionMilliseconds · lower is better · best condition firstDaytona STT's Time to Final Segment on each benchmark dataset.
  1. WildASR noise gaps381 ms
  2. WildASR clipping384 ms
  3. WildASR clean385 ms
  4. WildASR phone codec387 ms
  5. WildASR far-field404 ms
  6. PipeCat (production)405 ms
  7. WildASR accents437 ms
Time to Final Segment per dataset, with the number of samples behind each figure.
DatasetTTFSSamples
ProductionPipeCat405 ms2,436
AccentsWildASR437 ms247
CleanWildASR385 ms1,055
ClippingWildASR384 ms264
Far-fieldWildASR404 ms264
Noise gapsWildASR381 ms264
Phone codecWildASR387 ms264

Strongest condition: WildASR noise gaps at 381 ms · weakest: WildASR accents at 437 ms.

How fast is Daytona STT?

On Guava, Daytona STT measures mean 399 ms time to final segment (22nd of 29) and mean 5700 ms time to first token (25th of 27). Last measured 2026-10-13.

How accurate is Daytona STT?

On Guava, Daytona STT measures 5.0% word error rate (19th of 31). Last measured 2026-10-13.

Who hosts Daytona STT?

Daytona STT is created by Guava and served by Guava. Coval measures each hosted endpoint separately.

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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