LLM Reference
OpenAI API

Using gpt-realtime-mini on OpenAI API

Implementation guide · GPT Realtime · OpenAI

Serverless

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

Last refreshed 2026-05-19. 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-realtime-mini — see the documentation for request format.
  3. 3
    You'll be billed $0.60/1M input, $2.40/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
OPENAI_API_KEY
Model ID
gpt-realtime-mini

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-realtime-mini",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on OpenAI API

TypePrice (per 1M)
Input tokens$0.60
Output tokens$2.40
Image input$0.80
Audio input$10.00

Capabilities

MultimodalAudio

About gpt-realtime-mini

gpt-realtime-mini is OpenAI's GPT Realtime model with multimodal text and image input. It offers a 32K-token context window.

Model Specs

Released2025-10-06
Context32k
ArchitectureDecoder Only
Knowledge cutoff2023-10

Provider

OpenAI API
OpenAI API

OpenAI

San Francisco, California, United States