Voice AI BenchmarksBy

PROVIDERLAST 30 DAYS

Gemini voice AI models and benchmarks

Gemini lists 1 STT model in Coval. Its fastest dated STT result is Gemini 3.5 Transcribe Live at mean 302 ms time to final segment (20th of 27) among STT systems, with 3.9% WER. Results cover the last 30 days. Last measured .

Coval measures voice models created or hosted by Gemini.

Measured models
1
STT
Best STT model#20 / 27
302ms
Gemini 3.5 Transcribe Live

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
serves Gemini 3.5 Transcribe Live

Speech-to-Text

Full STT dashboard

Ranked on Time to Final Segment against 27 measured models.

Time to Final Segmentms · lower is better · Gemini models markedEvery measured STT model on Time to Final Segment, with Gemini'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 v382 ms
  6. #6Nova 388 ms
  7. #7Nova 292 ms
  8. #20Gemini 3.5 Transcribe Live302 ms
leaders plus Gemini models · 19 other models in the full table
Word Error Rate% · lower is better · Gemini models markedEvery measured STT model on Word Error Rate, with Gemini's models highlighted.
  1. #1Universal 3.5 Pro3.2%
  2. #2Qwen3 ASR Fast3.2%
  3. #3resonant-13.4%
  4. #4Gemini 3.5 Transcribe Live3.9%
  5. #5Qwen3 ASR 1.7b3.9%
  6. #6Chirp 34.1%
  7. #7GPT-4o Transcribe4.6%
leaders plus Gemini models · 22 other models in the full table
Time to First Tokenms · lower is better · Gemini models markedEvery measured STT model on Time to First Token, with Gemini's models highlighted.
  1. #1Whisper Large v3via Baseten915 ms
  2. #2Qwen3 ASR 1.7b935 ms
  3. #3Universal 3.5 Pro1039 ms
  4. #4Flux1076 ms
  5. #5Flux Multilingual1162 ms
  6. #6Parakeet TDT 0.6B v31215 ms
  7. #7Whisper Large v3via Together AI1337 ms
  8. #15Gemini 3.5 Transcribe Live1686 ms
leaders plus Gemini models · 17 other models in the full table
TTFS vs WER — Gemini vs every measured modelEach point is one measured STT model · Gemini models highlighted · 30-day averagesTime to Final Segment against Word Error Rate for every measured STT model, with Gemini's models highlighted.
Qwen3 ASR 1.7b — 39 ms, 3.9%Qwen3 ASR Fast — 46 ms, 3.2%STT RT v5 — 57 ms, 5.7%STT 1 — 65 ms, 7.4%Parakeet TDT 0.6B v3 — 82 ms, 11.2%Nova 3 — 88 ms, 6.2%Nova 2 — 92 ms, 7.9%Flux Multilingual — 97 ms, 8.9%Flux — 99 ms, 6.7%Ink 2 — 124 ms, 4.8%Whisper Large v3 via Baseten — 127 ms, 5.5%Scribe v2 Realtime — 134 ms, 5.5%Universal 3.5 Pro — 176 ms, 3.2%Grok STT — 208 ms, 4.6%Pulse — 211 ms, 5.4%Linden 1 — 232 ms, 5.0%Default — 246 ms, 10.1%resonant-1 — 264 ms, 3.4%Whisper Large v3 via Together AI — 292 ms, 8.5%Voxtral Mini Transcribe Realtime 2602 — 405 ms, 6.2%GPT Realtime Whisper — 553 ms, 5.1%GPT-4o mini Transcribe — 694 ms, 5.0%GPT-4o Transcribe — 760 ms, 4.6%Chirp 3 — 777 ms, 4.1%Solaria 1 — 874 ms, 7.1%Chirp 2 — 880 ms, 4.9%Gemini 3.5 Transcribe Live — 302 ms, 3.9%
Benchmarked models with their Time to Final Segment over the last 30 days.
ModelHostTTFSRank
Gemini 3.5 Transcribe LiveGemini302 ms20th of 27

How fast are Gemini's STT models?

Gemini 3.5 Transcribe Live measures mean 302 ms time to final segment (20th of 27) among STT systems. Last measured 2026-09-18.

How accurate are Gemini's STT models?

Gemini 3.5 Transcribe Live measures 3.9% word error rate (4th of 29) among STT systems. Last measured 2026-09-18.

Which Gemini model is fastest?

Its fastest dated STT result is Gemini 3.5 Transcribe Live at mean 302 ms time to final segment (20th of 27) among STT systems, with 3.9% WER. Last measured 2026-09-18.

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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