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GPT-4o Transcribe

by OpenAI

Speech transcription model for accurate audio-to-text and captioning workflows

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Models

GPT-4o Transcribe

Added 13 July 2026

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Overview

Speech transcription model for accurate audio-to-text and captioning workflows

Best for

Best for
Speech transcription

How to use / API access

Call via other with model id `openai/gpt-4o-transcribe`.

  • other · openai/gpt-4o-transcribe

OpenRouter id: openai/gpt-4o-transcribe

Notes

GPT-4o Transcribe is listed in the EDNA Models directory, sourced from models.dev.

Pros

  • Turning supplied audio into text for review
  • audio input; transcription output on the listed OpenRouter route

Cons

  • Treating transcription as a meeting-decision analysis
  • Assuming names, numbers or unclear speech are error-free
  • Base text-token rates exclude other modalities, tools, caching, retries and any hosting-specific charges. Check actual usage before comparing cost per successful task.
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USAGE / OPENROUTER

How much GPT-4o Transcribe is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
50.4M ▼8%
Requests, last 7 days
157K
Tool calls, last 7 days
—
010M20M19 Sept: 3.7M tokens, 14.3K requests20 Sept: 3M tokens, 11K requests21 Sept: 5.6M tokens, 17.7K requests22 Sept: 6.9M tokens, 20.5K requests23 Sept: 16.5M tokens, 34.4K requests24 Sept: 6.7M tokens, 23.7K requests25 Sept: 5.2M tokens, 17.9K requests26 Sept: 3M tokens, 12.2K requests27 Sept: 4.1M tokens, 15K requests28 Sept: 10.2M tokens, 25K requests29 Sept: 9.6M tokens, 31.5K requests30 Sept: 8.4M tokens, 25.9K requests1 Oct: 15.5M tokens, 34.6K requests2 Oct: 9.1M tokens, 18.8K requests3 Oct: 5.9M tokens, 22.6K requests4 Oct: 4.5M tokens, 9.6K requests5 Oct: 11.6M tokens, 38.8K requests6 Oct: 9.1M tokens, 25.8K requests7 Oct: 9.2M tokens, 25.8K requests8 Oct: 8.1M tokens, 22.5K requests9 Oct: 6.7M tokens, 23.7K requests10 Oct: 6.3M tokens, 19.3K requests11 Oct: 3.8M tokens, 10.4K requests12 Oct: 8.4M tokens, 24.9K requests13 Oct: 11.8M tokens, 32.1K requests14 Oct: 9.6M tokens, 38.5K requests15 Oct: 10M tokens, 26.7K requests16 Oct: 5.1M tokens, 15K requests17 Oct: 2.9M tokens, 10.1K requests18 Oct: 2.5M tokens, 9.7K requests19 Sept3 Oct17 Oct18 OctSee where it ranks on the leaderboard →

MODEL FIELD GUIDE / SOURCE EVIDENCE

What you can do with GPT-4o Transcribe.

Specifications reviewed; no EDNA task evaluation has been run. Sources checked 2026-10-20. Hosting routes and app features can differ.

DeveloperOpenAI
Exact model identifieropenai/gpt-4o-transcribe
Inputaudio
Outputtranscription
Tool calling
Not established
Structured output
Not established
Reasoning controls
Not established
Availability
available
Price basis
token
Licence verification
Check the developer licence; the model name is insufficient

Base text-token rates exclude other modalities, tools, caching, retries and any hosting-specific charges. Check actual usage before comparing cost per successful task.

Consider it for

  • Turning supplied audio into text for review
  • Preparing transcripts before extraction or summarisation

Watch for

  • Treating transcription as a meeting-decision analysis
  • Assuming names, numbers or unclear speech are error-free

PRACTICAL EXERCISE / NOT RUN BY ENTERPRISE DNA

Try the model on a small, checkable task.

Transcribe an owned recording saying: Invoice B-17 is one hundred and five dollars, due Friday. Preserve the invoice identifier and mark uncertain words.

Check the result: Compare with the recording: B-17, 105 and Friday must be retained; no invented speaker facts.

Compare another approach

Inspect the sources and their scope
provider source ↗

Developer documentation for model family or task. OpenRouter route-specific properties remain catalogue claims; EDNA has not executed a task evaluation.

Checked 2026-10-19
catalogue source ↗

openai/gpt-4o-transcribe: listed route capabilities, availability and prices; provider endpoints can differ.

Checked 2026-10-20
How to evaluate a model for your work →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Understand the capabilitiesRead the model guide ↗

Check the source

Price date: 2026-10-20. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Compare this model with alternatives →