Voice AI BenchmarksBy

PROVIDERLAST 30 DAYS

Guava voice AI models and benchmarks

Guava lists 2 STT and TTS models in Coval. Fastest dated mean latency over 30 days: STT: Daytona STT at 399 ms TTFS, with 5.0% WER. TTS: Daytona TTS at 486 ms TTFA, with 1.6% WER. Coval benchmarks hosted endpoints daily using a consistent evaluation methodology. Last measured .

Coval measures voice models created or hosted by Guava.

Measured models
2
STTTTS
Best STT model#22 / 29
399ms
Daytona STT
Best TTS model#27 / 32
486ms
Daytona TTS

Overview

Every model below is measured daily on the same fixed inputs and ranked against the full field, never blended into a company score.

Model lineup

Speech-to-Text
Daytona STT
Text-to-Speech
Daytona TTS

Speech-to-Text

Full STT dashboard

Ranked on Time to Final Segment against 29 measured models.

Time to Final Segmentms · lower is better · Guava models markedEvery measured STT model on Time to Final Segment, with Guava's models 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. #22Daytona STT399 ms
leaders plus Guava models · 21 other models in the full table
Word Error Rate% · lower is better · Guava models markedEvery measured STT model on Word Error Rate, with Guava's models highlighted.
  1. #1Universal 3.6 Pro2.1%
  2. #2Universal 3.5 Pro2.4%
  3. #3Qwen3 ASR Fast2.6%
  4. #4resonant-12.6%
  5. #5Qwen3 ASR 1.7b2.9%
  6. #6Gemini 3.5 Transcribe Live3.0%
  7. #7Chirp 33.2%
  8. #19Daytona STT5.0%
leaders plus Guava models · 23 other models in the full table
Time to First Tokenms · lower is better · Guava models markedEvery measured STT model on Time to First Token, with Guava's models highlighted.
  1. #1Whisper Large v3via Baseten923 ms
  2. #2Qwen3 ASR 1.7b945 ms
  3. #3Universal 3.5 Pro1025 ms
  4. #4Universal 3.6 Pro1072 ms
  5. #5Flux1091 ms
  6. #6Flux Multilingual1165 ms
  7. #7STT 11214 ms
  8. #25Daytona STT5700 ms
leaders plus Guava models · 19 other models in the full table
TTFS vs WER — Guava vs every measured modelEach point is one measured STT model · Guava models highlighted · 30-day averagesTime to Final Segment against Word Error Rate for every measured STT model, with Guava's models 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%
Benchmarked models with their Time to Final Segment over the last 30 days.
ModelHostTTFSRank
Daytona STTGuava399 ms22nd of 29

Text-to-Speech

Full TTS dashboard

Ranked on Time to First Audio against 32 measured models.

Time to First Audioms · lower is better · Guava models markedEvery measured TTS model on Time to First Audio, with Guava's models highlighted.
  1. #1vui60 ms
  2. #2Default63 ms
  3. #3Qwen3 TTS Fast68 ms
  4. #4TTS Flash 292 ms
  5. #5Qwen3 TTS 1.7b106 ms
  6. #6Simba 3.0111 ms
  7. #7Palabra TTS v1119 ms
  8. #27Daytona TTS486 ms
leaders plus Guava models · 24 other models in the full table
Word Error Rate% · lower is better · Guava models markedEvery measured TTS model on Word Error Rate, with Guava's models highlighted.
  1. #1Sonic 3.61.5%
  2. #2S2.1 Pro Free1.5%
  3. #3Simba 3.01.5%
  4. #4Chirp 3 HD1.5%
  5. #5S2.1 Pro1.5%
  6. #6Lightning v3.1 Pro1.5%
  7. #7Sonic 3.51.5%
  8. #10Daytona TTS1.6%
leaders plus Guava models · 24 other models in the full table
TTFA vs WER — Guava vs every measured modelEach point is one measured TTS model · Guava models highlighted · 30-day averagesTime to First Audio against Word Error Rate for every measured TTS model, with Guava's models highlighted.
vui — 60 ms, 2.1%Default — 63 ms, 1.9%Qwen3 TTS Fast — 68 ms, 1.8%TTS Flash 2 — 92 ms, 1.6%Qwen3 TTS 1.7b — 106 ms, 1.7%Simba 3.0 — 111 ms, 1.5%Palabra TTS v1 — 119 ms, 2.6%Simba 3.2 — 126 ms, 1.9%drama3-preview — 161 ms, 2.0%Flash v2.5 — 191 ms, 1.8%TTS 2 — 192 ms, 1.6%Eleven v4 Turbo — 201 ms, 1.7%Flux TTS — 205 ms, 1.7%TTS RT v1 — 254 ms, 2.4%TTS Rt v2 — 256 ms, 2.4%Mist v3 — 287 ms, 2.1%Sonic 3.5 — 293 ms, 1.5%Phantom Z 3.4 conversational — 297 ms, 1.8%Aura 2 — 297 ms, 1.8%Sonic 3.6 — 299 ms, 1.5%Falcon 2 — 305 ms, 1.7%Coda — 332 ms, 9.5%S2.1 Pro — 341 ms, 1.5%Grok TTS — 362 ms, 1.6%S1 — 389 ms, 1.8%Lightning v3.1 Pro — 391 ms, 1.5%Aura 2 En — 574 ms, 2.0%Chirp 3 HD — 598 ms, 1.5%Qwen3 TTS Flash Realtime — 718 ms, 3.0%S2.1 Pro Free — 850 ms, 1.5%GPT-4o mini TTS — 2582 ms, 1.8%Daytona TTS — 486 ms, 1.6%
Benchmarked models with their Time to First Audio over the last 30 days.
ModelHostTTFARank
Daytona TTSGuava486 ms27th of 32

How fast are Guava's STT and TTS models?

Daytona STT measures mean 399 ms time to final segment (22nd of 29) among STT systems. Last measured 2026-10-13. Daytona TTS measures mean 486 ms time to first audio (27th of 32) among TTS systems. Last measured 2026-10-13.

How accurate are Guava's STT and TTS models?

Daytona STT measures 5.0% word error rate (19th of 31) among STT systems. Last measured 2026-10-13. Daytona TTS measures 1.6% word error rate (10th of 32) among TTS systems. Last measured 2026-10-13.

Which Guava model is fastest?

Its fastest dated STT result is Daytona STT at mean 399 ms time to final segment (22nd of 29) among STT systems, with 5.0% WER. Last measured 2026-10-13. Its fastest dated TTS result is Daytona TTS at mean 486 ms time to first audio (27th of 32) among TTS systems, with 1.6% WER. Last measured 2026-10-13.

Same datasets, prompts and metric definitions for every model, measured by Coval’s open-source runner. Full methodology on the overview.

Evaluate your own voice agent

Use Coval to test your production configuration, prompts and calls—not only the public benchmark endpoints.

Book a Demo