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 383 ms time to final segment (22nd of 28) among STT systems, with 2.9% 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#22 / 28
383ms
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 28 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 1.7b35 ms
  2. #2STT RT v544 ms
  3. #3Qwen3 ASR Fast50 ms
  4. #4STT 170 ms
  5. #5Nova 385 ms
  6. #6Nova 287 ms
  7. #7Parakeet TDT 0.6B v388 ms
  8. #22Gemini 3.5 Transcribe Live383 ms
leaders plus Gemini models · 20 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 3.6 Pro2.2%
  2. #2Universal 3.5 Pro2.4%
  3. #3Qwen3 ASR Fast2.6%
  4. #4Realtime Global2.6%
  5. #5resonant-12.6%
  6. #6Gemini 3.5 Transcribe Live2.9%
  7. #7Qwen3 ASR 1.7b2.9%
leaders plus Gemini models · 23 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 Baseten914 ms
  2. #2Qwen3 ASR 1.7b936 ms
  3. #3Universal 3.5 Pro1019 ms
  4. #4STT 11026 ms
  5. #5Universal 3.6 Pro1079 ms
  6. #6Flux1097 ms
  7. #7Flux Multilingual1174 ms
  8. #15Gemini 3.5 Transcribe Live1542 ms
leaders plus Gemini models · 20 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 — 35 ms, 2.9%STT RT v5 — 44 ms, 4.8%Qwen3 ASR Fast — 50 ms, 2.6%STT 1 — 70 ms, 4.4%Nova 3 — 85 ms, 5.2%Nova 2 — 87 ms, 6.6%Parakeet TDT 0.6B v3 — 88 ms, 10.9%Flux Multilingual — 100 ms, 7.4%Flux — 101 ms, 5.7%Universal 3.6 Pro — 114 ms, 2.2%Scribe v2 Realtime — 118 ms, 4.2%Whisper Large v3 via Baseten — 126 ms, 4.5%Universal 3.5 Pro — 126 ms, 2.4%Ink 2 — 146 ms, 3.4%Realtime Global — 159 ms, 2.6%Whisper Large v3 via Together AI — 174 ms, 7.2%Grok STT — 180 ms, 4.1%Pulse — 203 ms, 4.6%resonant-1 — 243 ms, 2.6%Linden 1 — 254 ms, 3.8%Default — 261 ms, 8.4%Daytona STT — 384 ms, 4.8%Solaria 1 — 414 ms, 6.2%Voxtral Mini Transcribe Realtime 2602 — 436 ms, 5.3%GPT Realtime Whisper — 563 ms, 4.0%Chirp 3 — 807 ms, 3.2%Chirp 2 — 895 ms, 3.9%Gemini 3.5 Transcribe Live — 383 ms, 2.9%
Benchmarked models with their Time to Final Segment over the last 30 days.
ModelHostTTFSRank
Gemini 3.5 Transcribe LiveGemini383 ms22nd of 28

How fast are Gemini's STT models?

Gemini 3.5 Transcribe Live measures mean 383 ms time to final segment (22nd of 28) among STT systems. Last measured 2026-11-02.

How accurate are Gemini's STT models?

Gemini 3.5 Transcribe Live measures 2.9% word error rate (6th of 30) among STT systems. Last measured 2026-11-02.

Which Gemini model is fastest?

Its fastest dated STT result is Gemini 3.5 Transcribe Live at mean 383 ms time to final segment (22nd of 28) among STT systems, with 2.9% WER. Last measured 2026-11-02.

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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