audio model comparison
GPT Transcribe vs Scribe v2
GPT Transcribe and Scribe v2 are both current audio models, from OpenAI and ElevenLabs. Scribe v2 is 19% cheaper per audio minute than GPT Transcribe, $0.003667 vs $0.0045. On Artificial Analysis AA-WER v2, GPT Transcribe scores 3.31 % WER and Scribe v2 2.18 % WER (Artificial Analysis, measured October 13, 2026).
Data verified October 13, 2026 · Dataset 2026-10-13
Side by side
Standard-tier prices in effect today. The better value in each row is highlighted.
| Fact | GPT Transcribe | Scribe v2 |
|---|---|---|
| Price per audio minute | $0.0045 | $0.003667 (better) |
| Artificial Analysis AA-WER v2 | 3.31 % WER (#5 of 6) | 2.18 % WER (#2 of 6) (better) |
| Provider | OpenAI | ElevenLabs |
| Release date | July 28, 2026 | January 9, 2026 |
| Access | API only | API only |
| Context window | Not reported | Not reported |
| Max output | Not reported | Not reported |
| Input | audio, text | audio |
| Output | text | text |
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
Scribe v2
Best for
- Batch transcription and diarization
Watch out for
- $0.22 per hour of audio; keyterm prompting and transcript editing add $0.05 and $0.07 per hour
GPT Transcribe vs Scribe v2 FAQ
Which is cheaper, GPT Transcribe or Scribe v2?
Scribe v2 is 19% cheaper per audio minute than GPT Transcribe, $0.003667 vs $0.0045.
Which scores higher on independent benchmarks, GPT Transcribe or Scribe v2?
Scribe v2 leads on Artificial Analysis AA-WER v2, 2.18 % WER to 3.31 % WER. Scores are independent evaluations, not either vendor's launch figures.
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- Grok Voice Transcribe 2.0 vs Scribe v2
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Production evaluation
Choosing between GPT Transcribe and Scribe v2?
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