Voice AI BenchmarksBy

PROVIDERLAST 30 DAYS

Saidwire voice AI models and benchmarks

Saidwire lists 1 STT model in Coval. Its fastest dated STT result is Wire-1 at mean 35 ms time to final segment (1st of 29) among STT systems, with 3.7% WER. Results cover the last 30 days. Last measured .

Coval measures voice models created or hosted by Saidwire.

Measured models
1
STT
Best STT model#1 / 29
35ms
Wire-1

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
Wire-1

Speech-to-Text

Full STT dashboard

Ranked on Time to Final Segment against 29 measured models.

Time to Final Segmentms · lower is better · Saidwire models markedEvery measured STT model on Time to Final Segment, with Saidwire's models highlighted.
  1. #1Wire-135 ms
  2. #2Qwen3 ASR 1.7b35 ms
  3. #3STT RT v549 ms
  4. #4Qwen3 ASR Fast52 ms
  5. #5STT Rt v658 ms
  6. #6STT 170 ms
  7. #7Nova 386 ms
leaders plus Saidwire models · 22 other models in the full table
Word Error Rate% · lower is better · Saidwire models markedEvery measured STT model on Word Error Rate, with Saidwire's models highlighted.
  1. #1Universal 3.6 Pro2.2%
  2. #2Universal 3.5 Pro2.4%
  3. #3Rumble-22.5%
  4. #4Qwen3 ASR Fast2.6%
  5. #5resonant-12.7%
  6. #6Qwen3 ASR 1.7b2.9%
  7. #7Gemini 3.5 Transcribe Live2.9%
  8. #11Wire-13.7%
leaders plus Saidwire models · 23 other models in the full table
Time to First Tokenms · lower is better · Saidwire models markedEvery measured STT model on Time to First Token, with Saidwire's models highlighted.
  1. #1Wire-1778 ms
  2. #2Whisper Large v3via Baseten918 ms
  3. #3Qwen3 ASR 1.7b939 ms
  4. #4STT 1988 ms
  5. #5Universal 3.5 Pro1014 ms
  6. #6Universal 3.6 Pro1073 ms
  7. #7Flux1094 ms
leaders plus Saidwire models · 22 other models in the full table
TTFS vs WER — Saidwire vs every measured modelEach point is one measured STT model · Saidwire models highlighted · 30-day averagesTime to Final Segment against Word Error Rate for every measured STT model, with Saidwire's models highlighted.
Qwen3 ASR 1.7b — 35 ms, 2.9%STT RT v5 — 49 ms, 4.7%Qwen3 ASR Fast — 52 ms, 2.6%STT Rt v6 — 58 ms, 3.6%STT 1 — 70 ms, 4.7%Nova 3 — 86 ms, 5.3%Nova 2 — 89 ms, 6.6%Flux Multilingual — 101 ms, 7.5%Flux — 103 ms, 5.7%Universal 3.6 Pro — 107 ms, 2.2%Universal 3.5 Pro — 109 ms, 2.4%Scribe v2 Realtime — 117 ms, 4.2%Rumble-2 — 126 ms, 2.5%Whisper Large v3 via Baseten — 128 ms, 4.4%Ink 2 — 142 ms, 3.4%Whisper Large v3 via Together AI — 149 ms, 7.2%Grok STT — 173 ms, 4.1%Pulse — 187 ms, 4.6%resonant-1 — 224 ms, 2.7%Linden 1 — 235 ms, 3.8%Default — 281 ms, 7.6%Daytona STT — 363 ms, 4.6%Gemini 3.5 Transcribe Live — 373 ms, 2.9%Solaria 1 — 402 ms, 6.2%Voxtral Mini Transcribe Realtime 2602 — 464 ms, 5.4%GPT Realtime Whisper — 557 ms, 4.0%Chirp 3 — 839 ms, 3.2%Chirp 2 — 902 ms, 4.0%Wire-1 — 35 ms, 3.7%
Benchmarked models with their Time to Final Segment over the last 30 days.
ModelHostTTFSRank
Wire-1Saidwire35 ms1st of 29

How fast are Saidwire's STT models?

Wire-1 measures mean 35 ms time to final segment (1st of 29) among STT systems. Last measured 2026-11-10.

How accurate are Saidwire's STT models?

Wire-1 measures 3.7% word error rate (11th of 31) among STT systems. Last measured 2026-11-10.

Which Saidwire model is fastest?

Its fastest dated STT result is Wire-1 at mean 35 ms time to final segment (1st of 29) among STT systems, with 3.7% WER. Last measured 2026-11-10.

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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