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audio model comparison

Gemini 3.5 Transcribe vs GPT Transcribe

Gemini 3.5 Transcribe and GPT Transcribe are both current audio models, from Google and OpenAI. GPT Transcribe is 10% cheaper per audio minute than Gemini 3.5 Transcribe, $0.0045 vs $0.005. On Artificial Analysis AA-WER v2, Gemini 3.5 Transcribe scores 2.6 % WER and GPT Transcribe 3.31 % WER (Artificial Analysis, measured October 13, 2026).

Data verified October 13, 2026 · Dataset 2026-10-13

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Side by side

Standard-tier prices in effect today. The better value in each row is highlighted.

FactGemini 3.5 TranscribeGPT Transcribe
Price per audio minute$0.005$0.0045 (better)
Artificial Analysis AA-WER v22.6 % WER (#4 of 6) (better)3.31 % WER (#5 of 6)
ProviderGoogleOpenAI
Release dateAugust 26, 2026July 28, 2026
AccessAPI onlyAPI only
Context windowNot reportedNot reported
Max outputNot reportedNot reported
Inputaudioaudio, text
Outputtexttext

Scores:Artificial Analysis · 2026-10-13

Open both in the interactive comparison

When to choose each

Gemini 3.5 Transcribe

Best for

  • Batch transcription with speaker labels
  • Multilingual meeting and call transcripts

Watch out for

  • One hour of audio per request, or 30 minutes with diarization or timestamps
  • Custom vocabulary cannot be combined with diarization or timestamps, and there is no Batch API
Full Gemini 3.5 Transcribe profile

GPT Transcribe

Best for

  • Transcribing recorded audio files

Watch out for

  • Live microphone audio goes to a separate model, gpt-live-transcribe, at $0.017 per minute
  • OpenAI's model page does not mention speaker diarization
Full GPT Transcribe profile

Gemini 3.5 Transcribe vs GPT Transcribe FAQ

Which is cheaper, Gemini 3.5 Transcribe or GPT Transcribe?

GPT Transcribe is 10% cheaper per audio minute than Gemini 3.5 Transcribe, $0.0045 vs $0.005.

Which scores higher on independent benchmarks, Gemini 3.5 Transcribe or GPT Transcribe?

Gemini 3.5 Transcribe leads on Artificial Analysis AA-WER v2, 2.6 % WER to 3.31 % WER. Scores are independent evaluations, not either vendor's launch figures.

Production evaluation

Choosing between Gemini 3.5 Transcribe and GPT Transcribe?

Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • A head-to-head evaluation on your real workload
  • Routing between models by cost and difficulty