Voice AI BenchmarksBy

PROVIDERLAST 30 DAYS

official resource

Reson8 voice AI models and benchmarks

Reson8 provides a real-time transcription API hosted in Europe.

Measured models
1
STT
Best STT model#16 / 24
288ms
resonant-1

Overview

The measured endpoint is multilingual with diarization and keyterm controls, and Reson8 creates and hosts it.

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
resonant-1

Speech-to-Text

Full STT dashboard

Ranked on Time to Final Segment against 24 measured models.

Time to Final Segmentms · lower is better · Reson8 models markedEvery measured STT model on Time to Final Segment, with Reson8's models highlighted.
  1. #1STT RT v564 ms
  2. #2Parakeet TDT 0.6B v370 ms
  3. #3STT 183 ms
  4. #4Nova 399 ms
  5. #5Nova 2101 ms
  6. #6Ink 2108 ms
  7. #7Scribe v2 Realtime120 ms
  8. #16resonant-1288 ms
leaders plus Reson8 models · 16 other models in the full table
Word Error Rate% · lower is better · Reson8 models markedEvery measured STT model on Word Error Rate, with Reson8's models highlighted.
  1. #1Universal 3.5 Pro3.2%
  2. #2resonant-13.4%
  3. #3Chirp 34.1%
  4. #4Enhanced4.3%
  5. #5GPT-4o Transcribe4.7%
  6. #6Grok STT4.8%
  7. #7STT 14.8%
leaders plus Reson8 models · 21 other models in the full table
Time to First Tokenms · lower is better · Reson8 models markedEvery measured STT model on Time to First Token, with Reson8's models highlighted.
  1. #1Universal 3.5 Pro1030 ms
  2. #2Flux1089 ms
  3. #3Flux Multilingual1175 ms
  4. #4Parakeet TDT 0.6B v31210 ms
  5. #5Whisper Large v31241 ms
  6. #6Nova 31434 ms
  7. #7Nova 21436 ms
leaders plus Reson8 models · 17 other models in the full table
TTFS vs WER — Reson8 vs every measured modelEach point is one measured STT model · Reson8 models highlighted · 30-day averagesTime to Final Segment against Word Error Rate for every measured STT model, with Reson8's models highlighted.
STT RT v5 — 64 ms, 5.8%Parakeet TDT 0.6B v3 — 70 ms, 11.0%STT 1 — 83 ms, 4.8%Nova 3 — 99 ms, 6.3%Nova 2 — 101 ms, 7.9%Ink 2 — 108 ms, 4.9%Scribe v2 Realtime — 120 ms, 5.5%Universal 3.5 Pro — 146 ms, 3.2%Default via Azure — 155 ms, 5.3%Whisper Large v3 — 180 ms, 8.2%Velma 2 STT Streaming — 191 ms, 6.4%Grok STT — 199 ms, 4.8%Pulse — 205 ms, 5.3%Default via Speechmatics — 223 ms, 5.5%Default via Gradium — 249 ms, 10.0%Enhanced — 341 ms, 4.3%Voxtral Mini Transcribe Realtime 2602 — 356 ms, 6.2%GPT Realtime Whisper — 559 ms, 5.2%GPT-4o mini Transcribe — 623 ms, 5.1%Solaria 1 — 680 ms, 7.1%GPT-4o Transcribe — 742 ms, 4.7%Chirp 2 — 811 ms, 5.0%Chirp 3 — 813 ms, 4.1%resonant-1 — 288 ms, 3.4%
Benchmarked models with their Time to Final Segment over the last 30 days.
ModelHostTTFSRank
resonant-1Reson8288 ms16th of 24

Limits of this comparison

Coval measures Reson8's endpoint named `realtime` for STT accuracy and latency.

  • The model name `realtime` is generic; these results apply only to Reson8's endpoint.

Official resources

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