Voice AI BenchmarksBy

PROVIDERLAST 30 DAYS

official resource

Reson8 voice AI models and benchmarks

Reson8 lists 1 STT model in Coval. Its fastest dated STT result is resonant-1 at mean 264 ms time to final segment (18th of 28) among STT systems, with 3.4% WER. Results cover the last 30 days. Last measured .

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

Measured models
1
STT
Best STT model#18 / 28
264ms
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 28 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. #1Qwen3 ASR 1.7b39 ms
  2. #2Qwen3 ASR Fast46 ms
  3. #3STT RT v557 ms
  4. #4STT 165 ms
  5. #5Parakeet TDT 0.6B v381 ms
  6. #6Nova 389 ms
  7. #7Nova 292 ms
  8. #18resonant-1264 ms
leaders plus Reson8 models · 20 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 Pro3.1%
  2. #2Qwen3 ASR Fast3.2%
  3. #3resonant-13.4%
  4. #4Gemini 3.5 Transcribe Live3.9%
  5. #5Chirp 34.1%
  6. #6Qwen3 ASR 1.7b4.1%
  7. #7Enhanced4.3%
leaders plus Reson8 models · 23 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. #1Whisper Large v3via Baseten912 ms
  2. #2Qwen3 ASR 1.7b931 ms
  3. #3Universal 3.5 Pro1041 ms
  4. #4Flux1076 ms
  5. #5Flux Multilingual1164 ms
  6. #6Parakeet TDT 0.6B v31215 ms
  7. #7Whisper Large v3via Together AI1338 ms
leaders plus Reson8 models · 19 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.
Qwen3 ASR 1.7b — 39 ms, 4.1%Qwen3 ASR Fast — 46 ms, 3.2%STT RT v5 — 57 ms, 5.7%STT 1 — 65 ms, 4.4%Parakeet TDT 0.6B v3 — 81 ms, 11.2%Nova 3 — 89 ms, 6.2%Nova 2 — 92 ms, 7.9%Flux Multilingual — 98 ms, 8.8%Flux — 99 ms, 6.7%Ink 2 — 122 ms, 4.8%Whisper Large v3 via Baseten — 125 ms, 5.6%Scribe v2 Realtime — 133 ms, 5.5%Universal 3.5 Pro — 173 ms, 3.1%Grok STT — 207 ms, 4.6%Default via Speechmatics — 209 ms, 5.4%Pulse — 212 ms, 5.3%Default via Gradium — 246 ms, 10.0%Whisper Large v3 via Together AI — 295 ms, 8.5%Enhanced — 299 ms, 4.3%Gemini 3.5 Transcribe Live — 305 ms, 3.9%Voxtral Mini Transcribe Realtime 2602 — 401 ms, 6.2%GPT Realtime Whisper — 551 ms, 5.1%GPT-4o mini Transcribe — 690 ms, 4.9%GPT-4o Transcribe — 754 ms, 4.6%Chirp 3 — 776 ms, 4.1%Solaria 1 — 805 ms, 7.1%Chirp 2 — 873 ms, 4.9%resonant-1 — 264 ms, 3.4%
Benchmarked models with their Time to Final Segment over the last 30 days.
ModelHostTTFSRank
resonant-1Reson8264 ms18th of 28

How fast are Reson8's STT models?

resonant-1 measures mean 264 ms time to final segment (18th of 28) among STT systems. Last measured 2026-09-15.

How accurate are Reson8's STT models?

resonant-1 measures 3.4% word error rate (3rd of 30) among STT systems. Last measured 2026-09-15.

Which Reson8 model is fastest?

Its fastest dated STT result is resonant-1 at mean 264 ms time to final segment (18th of 28) among STT systems, with 3.4% WER. Last measured 2026-09-15.

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.

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