OpenAIGoogleAudio matchupSpeech to text
GPT-Transcribevs.Gemini 3.5 Transcribe
Which model is better?
Gemini 3.5 Transcribe is slightly ahead in independent tests, but the lead is not certain.
Pick GPT-Transcribe for
Pick Gemini 3.5 Transcribe 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”.
Appen MedTerm-90
levelAppen MedTerm-90 overall clinical entity recall
95 % ranges 80.7 % to 82.8 % and 79.5 % to 81.8 %, 30,017 tasks, as of October 16, 2026
Source · latest October 16, 2026
Artificial Analysis
Gemini 3.5 Transcribe slightly aheadArtificial Analysis AA-WER (non-streaming)
lower is better, as of October 15, 2026
Source · latest October 15, 2026
All data side by side
Prices are verbatim from the provider, because audio models bill per minute, character or token.
| GPT-Transcribe | Gemini 3.5 Transcribe | |
|---|---|---|
| Task | Speech to text | Speech to text |
| Developer | OpenAI | |
| Status | Active | Active |
| Released | July 28, 2026 | n/a |
| Weights | proprietary | proprietary |
| Runs locally | no | no |
| Price | $0.0045 per audio minute | $2 per 1M audio tokens ($0.003 per audio minute) |
| Popularity (out of 100) | 32 | 52 |