OpenAIGoogleAudio matchupSpeech to text
GPT-Realtime-Whispervs.Gemini 3.5 Transcribe Live
Which model is better?
Gemini 3.5 Transcribe Live is slightly ahead in independent tests, but the lead is not certain.
Pick GPT-Realtime-Whisper for
Pick Gemini 3.5 Transcribe Live for
Shared tests
Independent evaluators and leaderboards only, the newest shared snapshot per evaluator. With 95 % ranges a lead counts when they do not overlap; for hit rates, when it holds in a 95 % test. Without any uncertainty figure at most “slightly ahead”.
Pipecat STT Benchmark
Gemini 3.5 Transcribe Live slightly aheadGemini 3.5 Transcribe Live is clearly ahead in 0 of 2 subtests and slightly in 2, GPT-Realtime-Whisper in none.
Pipecat STT Benchmark semantic WER mean
lower is better, as of October 16, 2026
Pipecat STT Benchmark semantic pooled WER
lower is better, as of October 16, 2026
Source · latest October 16, 2026
Artificial Analysis
Gemini 3.5 Transcribe Live slightly aheadArtificial Analysis AA-WER Streaming (final transcription)
lower is better, as of October 15, 2026
Source · latest October 15, 2026
Coval
Gemini 3.5 Transcribe Live slightly aheadCoval Word Error Rate (WER) per-sample mean
lower is better, as of November 2, 2026
Source · latest November 2, 2026
All data side by side
Prices are verbatim from the provider, because audio models bill per minute, character or token.
| GPT-Realtime-Whisper | Gemini 3.5 Transcribe Live | |
|---|---|---|
| Task | Speech to text | Speech to text |
| Developer | OpenAI | |
| Status | Active | Active |
| Weights | proprietary | proprietary |
| Runs locally | no | no |
| Price | $0.017 per audio minute | $3.50 per 1M audio tokens ($0.005 per audio minute) |
| Popularity (out of 100) | 34 | 35 |