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audio model comparison

GPT Transcribe vs MAI-Transcribe-2

GPT Transcribe and MAI-Transcribe-2 are both current audio models, from OpenAI and Microsoft AI. MAI-Transcribe-2 is 63% cheaper per audio minute than GPT Transcribe, $0.001667 vs $0.0045. On Artificial Analysis AA-WER v2, GPT Transcribe scores 3.31 % WER and MAI-Transcribe-2 2.04 % 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.

FactGPT TranscribeMAI-Transcribe-2
Price per audio minute$0.0045$0.001667 (better)
Artificial Analysis AA-WER v23.31 % WER (#5 of 6)2.04 % WER (#1 of 6) (better)
ProviderOpenAIMicrosoft AI
Release dateJuly 28, 2026September 3, 2026
AccessAPI onlyAPI only
Context windowNot reportedNot reported
Max outputNot reportedNot reported
Inputaudio, textaudio
Outputtexttext

Scores:Artificial Analysis · 2026-10-13

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When to choose each

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

MAI-Transcribe-2

Best for

  • Low-cost multilingual batch transcription
  • Meeting and call transcripts with speaker labels

Watch out for

  • Azure Speech lists it as a public preview with no SLA, not recommended for production
  • The $0.10 per hour price is a limited-time offer until 2026-12-31, and the later price is not published
Full MAI-Transcribe-2 profile

GPT Transcribe vs MAI-Transcribe-2 FAQ

Which is cheaper, GPT Transcribe or MAI-Transcribe-2?

MAI-Transcribe-2 is 63% cheaper per audio minute than GPT Transcribe, $0.001667 vs $0.0045.

Which scores higher on independent benchmarks, GPT Transcribe or MAI-Transcribe-2?

MAI-Transcribe-2 leads on Artificial Analysis AA-WER v2, 2.04 % WER to 3.31 % WER. Scores are independent evaluations, not either vendor's launch figures.

Production evaluation

Choosing between GPT Transcribe and MAI-Transcribe-2?

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