LLM Reference
OpenAI API

Using GPT-4o Mini Transcribe on OpenAI API

Implementation guide · OpenAI Transcribe · OpenAI

Serverless

OpenAI API exposes GPT-4o Mini Transcribe through model ID gpt-4o-mini-transcribe. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-07. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at OpenAI API and generate an API key.
  2. 2
    Use the OpenAI API SDK or REST API to call gpt-4o-mini-transcribe — see the documentation for request format.
  3. 3
    You'll be billed $5.00/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
OPENAI_API_KEY
Model ID
gpt-4o-mini-transcribe

Use the model slug directly, e.g. "gpt-4o" or "gpt-4.1-mini".

import os
from openai import OpenAI

client = OpenAI()  # reads OPENAI_API_KEY from env
response = client.chat.completions.create(
    model="gpt-4o-mini-transcribe",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on OpenAI API

TypePrice (per 1M)
Output tokens$5.00
Audio input$1.25

Capabilities

MultimodalBatch APIAudio

About GPT-4o Mini Transcribe

GPT-4o Mini Transcribe is OpenAI's cost-efficient speech-to-text model based on GPT-4o mini, released March 20, 2025. Offers substantially better accuracy than Whisper at roughly half the price of gpt-4o-transcribe. Supports batch, Realtime transcription, and Assistants endpoints. Input: $1.25/1M audio tokens. Output: $5.00/1M text tokens. Practical: ~$0.003/min. API ID: gpt-4o-mini-transcribe.

Model Specs

Released2025-03-20
Context16k
ArchitectureDecoder Only
Knowledge cutoff2024-09

Provider

OpenAI API
OpenAI API

OpenAI

San Francisco, California, United States