GPT-4o Transcribe overview
GPT-4o Transcribe by OpenAI
GPT-4o Transcribe API provides accurate speech-to-text transcription for voice agents, conversations, and real-time audio applications.
GPT-4o Transcribe specs
- Model ID
openai/gpt-4o-transcribe- Developer
- OpenAI
- Input
- Audio
- Output
- Text
- Endpoint
POST https://api.aimlapi.com/v1/stt/create
GPT-4o Transcribe API Overview
GPT-4o Transcribe is a speech-to-text model developed by OpenAI, built on the GPT-4o architecture. It delivers highly accurate audio transcriptions with significant improvements over previous models like Whisper. The model excels in diverse and challenging audio conditions, including accents, noisy environments, and varying speech speeds, making it ideal for robust and reliable transcription needs.
Technical Specifications
- Architecture: Based on GPT-4o with enhancements for audio processing.
- Context Window: Supports up to 16,000 tokens, enabling processing of long audio inputs effectively.
- Maximum Output Length: Up to 2,000 tokens per transcription session.
- Training Data: Extensively pretrained on diverse, high-quality audio-centric datasets prioritizing speech nuances.
Performance Benchmarks
- Demonstrates superior Word Error Rate (WER) performance compared to OpenAI’s Whisper models across multiple benchmark datasets.
- Shows enhanced language recognition capabilities, especially for low-resource languages, outperforming other models in multilingual transcription.
- Sets new standards in transcription reliability and precision for real-world applications like call centers, meetings, and content creation.
Key Features
- High accuracy transcription even in challenging noise and accent scenarios.
- Long context capability for detailed, extended transcriptions.
- Robust multilingual support with improved recognition of various languages.
- Real-time transcription with low latency streaming options.
- Highly customizable with support for diverse audio input types.
Comparison with Other Models
vs Whisper: GPT-4o Transcribe offers better transcription logic by understanding context, reducing errors and hallucinations that Whisper sometimes produces. Whisper remains reliable but lags behind in low-resource languages and challenging environments.
vs Google Speech-to-Text: Compared to Google Speech-to-Text, GPT-4o Transcribe provides a notably lower transcription error rate, making it more precise for complex audio inputs.
vs Deepgram: GPT-4o Transcribe leads with higher accuracy and better contextual awareness, reducing transcription errors and hallucinations, but Deepgram remains a strong competitor for real-time applications requiring optimized speed.
Use cases
- Customer service call transcription and analysis.
- Automated meeting note generation.
- Voice command and control systems.
- Accessibility services such as real-time captioning.
- Media and content localization involving multiple languages.
- Research and analytics requiring precise speech data conversion.
GPT-4o Transcribe API pricing
| Usage | Price | Unit |
|---|---|---|
| Output | $10 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
How to use the GPT-4o Transcribe API
View docs
Build with your agent
Give your agent the model details, code and documentation.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/stt/create' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "openai/gpt-4o-transcribe"
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "openai/gpt-4o-transcribe"
}
response = requests.post("https://api.aimlapi.com/v1/stt/create", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/stt/create", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "openai/gpt-4o-transcribe"
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());The request returns a generation id. Poll GET https://api.aimlapi.com/v1/stt/create?generation_id=<id> until the status is completed.
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GPT-4o Transcribe FAQ
What inputs and outputs does GPT-4o Transcribe support?
GPT-4o Transcribe takes audio as input and returns text.
When was GPT-4o Transcribe released?
GPT-4o Transcribe became available on December 30, 2025.
How is GPT-4o Transcribe billed?
GPT-4o Transcribe is billed per generation, a fixed charge per output rather than by prompt length.
Who created GPT-4o Transcribe?
GPT-4o Transcribe was built by OpenAI.
How do I call GPT-4o Transcribe on AI/ML API?
Send a request to v1 with openai/gpt-4o-transcribe as the model id.
Is GPT-4o Transcribe available through a single API key?
Yes. GPT-4o Transcribe is served through AI/ML API, so the same key and endpoint format used for other models applies.
What is the context window and maximum output length for GPT-4o Transcribe?
GPT-4o Transcribe has a 16,000 token context window and supports up to 2,000 max output tokens.
What is the GPT-4o Transcribe model ID?
Use openai/gpt-4o-transcribe as the model parameter. Requests go to https://api.aimlapi.com/v1/stt/create with your AI/ML API key.