Models · Audio
GPT-4o Transcribe
by OpenAI
Speech transcription model for accurate audio-to-text and captioning workflows.
Our verdict
We have not reviewed GPT-4o Transcribe yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About GPT-4o Transcribe
Speech transcription model for accurate audio-to-text and captioning workflows.
Best for
Speech transcription
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.
Key facts
What we have checked
- Price on openai
- $2.50 per million input tokens
- Price on openai
- $10.00 per million output tokens
- Latest version
- openai/gpt-4o-transcribe
- Tokens served on OpenRouter in a day
- 14.7M (for 10 Nov 2026)
- Tool calls on OpenRouter in a day
- 0 (for 10 Nov 2026)
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
API access
How to call it
Call via other with model id `openai/gpt-4o-transcribe`.
- other ·
openai/gpt-4o-transcribe
OpenRouter id: openai/gpt-4o-transcribe
Price
What GPT-4o Transcribe costs, over time
Prices by host
| Host | Price | Over time | Checked |
|---|---|---|---|
| openaiInput | $2.50 per million input tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| openaiOutput | $10.00 per million output tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
Usage
How much GPT-4o Transcribe is used
3.7M to 14.7M
Sources
Where this comes from
- OpenRouter models APIRegistry
- OpenRouter models APIThird party
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
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
- 62.1M ▲23.8%
- Requests, last 7 days
- 201K
- Tool calls, last 7 days
- —
MODEL FIELD GUIDE / SOURCE EVIDENCE
What you can do with GPT-4o Transcribe.
Specifications reviewed; no EDNA task evaluation has been run. Sources checked 2026-11-07. Hosting routes and app features can differ.
openai/gpt-4o-transcribe- 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
- Context length
- 128K tokens
- Knowledge cutoff
- Not established
- Developer release date
- Not established
- First seen in the catalogue
- 27 Apr 2026
- Listed retirement date
- Not established
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
Developer documentation for model family or task. OpenRouter route-specific properties remain catalogue claims; EDNA has not executed a task evaluation.
Checked 2026-10-19openai/gpt-4o-transcribe: listed route capabilities, availability and prices; provider endpoints can differ.
Checked 2026-11-07Source for first seen, context length, input, output.
Checked 2026-11-07FROM 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.
What would it cost?
Pick a common job and how many times a month you run it. Token sizes are our assumption for a typical run, shown under the result.
Enter a whole number of runs from 1 to 100,000,000.
Working out the cost...
Token prices only. Per-request, image, tool, storage and subscription fees are not included. One token is about three quarters of an English word. Real counts vary by model and language. How tokens are counted ↗
Check the source
Price date: 20 Oct 2026, from the models.dev listing. 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.
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