Skip to main content

audio model comparison

GPT-4o Transcribe vs GPT Transcribe

GPT-4o Transcribe and GPT Transcribe are both current audio models, from OpenAI. GPT Transcribe is 25% cheaper per audio minute than GPT-4o Transcribe, $0.0045 vs $0.006. On Artificial Analysis AA-WER v2, GPT-4o Transcribe scores 3.96 % WER and GPT Transcribe 3.31 % WER (Artificial Analysis, measured October 13, 2026).

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

Share this

Side by side

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

FactGPT-4o TranscribeGPT Transcribe
Price per audio minute$0.006$0.0045 (better)
Artificial Analysis AA-WER v23.96 % WER (#6 of 6)3.31 % WER (#5 of 6) (better)
ProviderOpenAIOpenAI
Release dateMarch 20, 2025July 28, 2026
AccessAPI onlyAPI only
Context window16,000 tokensNot reported
Max output2,000 tokensNot reported
Inputtext, audioaudio, text
Outputtexttext

Scores:Artificial Analysis · 2026-10-13

Open both in the interactive comparison

When to choose each

GPT-4o Transcribe

Best for

  • Speech transcription

Watch out for

  • OpenAI announced its deprecation on 2026-08-26 and recommends GPT Transcribe, which costs $0.0045 per minute against about $0.006 here
Full GPT-4o 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

GPT-4o Transcribe vs GPT Transcribe FAQ

Which is cheaper, GPT-4o Transcribe or GPT Transcribe?

GPT Transcribe is 25% cheaper per audio minute than GPT-4o Transcribe, $0.0045 vs $0.006.

Which scores higher on independent benchmarks, GPT-4o Transcribe or GPT Transcribe?

GPT Transcribe leads on Artificial Analysis AA-WER v2, 3.31 % WER to 3.96 % WER. Scores are independent evaluations, not either vendor's launch figures.

Production evaluation

Choosing between GPT-4o 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