LightweightOpenAI

GPT Realtime mini

GPT Realtime mini is OpenAI's lightweight real-time audio model for voice conversations, with text and audio input/output and a 128K token context window.

Context 128K
Tier Lightweight
Knowledge Oct 2024
Tools Supported
Modalities text, audio
Contact providers for pricing

API Pricing

No pricing data available for this model at the moment.

Prices updated daily. Last check: 4/14/2026

Model Details

General

Creator
OpenAI
Family
GPT Realtime
Tier
Lightweight
Context Window
128K
Knowledge Cutoff
Oct 2024
Modalities
Text, Audio

Capabilities

Tool Calling
Yes
Open Source
No
Subtypes
Chat Completion

Strengths & Limitations

  • Native real-time audio input and output without separate TTS/STT systems
  • 128,000 token context window for extended conversations
  • Tool calling support enables API integrations during voice interactions
  • Lightweight tier offers faster response times than larger family variants
  • October 2024 knowledge cutoff provides relatively current information
  • Text and audio modality support allows flexible interaction modes
  • No image or visual input support
  • Proprietary model with weights not publicly available
  • Lightweight tier has reduced capabilities compared to larger GPT models
  • Limited to chat completion tasks within modality constraints

Key Features

Real-time audio input and output
128K token context window
Tool calling with API integration
Text and audio modality support
Chat completion interface
Streaming audio responses
Voice conversation continuity

About GPT Realtime mini

GPT Realtime mini is OpenAI's lightweight entry in the GPT Realtime family, designed for real-time voice conversations and audio processing tasks. As the more accessible tier in OpenAI's real-time audio model lineup, it provides core conversational AI capabilities at reduced computational requirements compared to larger variants in the family. The model supports both text and audio modalities with a 128,000 token context window, enabling extended conversations while maintaining context. It includes tool calling functionality, allowing integration with external APIs and services during real-time interactions. The model's knowledge cutoff is October 2024, providing relatively current information for conversational responses. GPT Realtime mini targets applications requiring responsive voice interactions where cost efficiency and speed are prioritized over maximum capability. It competes with other lightweight conversational AI models while offering the specific advantage of native real-time audio processing, distinguishing it from text-only models that require separate text-to-speech systems.

Common Use Cases

GPT Realtime mini is suited for applications requiring cost-effective real-time voice interactions, such as customer service chatbots, voice assistants, interactive voice response systems, and conversational interfaces where speed and responsiveness matter more than maximum reasoning capability. Its tool calling functionality makes it appropriate for voice-activated workflows that need to integrate with external services, while the 128K context window supports extended conversations without losing context. The lightweight tier makes it practical for high-volume voice applications where the full capability of larger models isn't necessary.

Frequently Asked Questions

How much does GPT Realtime mini cost per million tokens?

GPT Realtime mini pricing varies by provider and may include both input/output token costs and real-time audio processing fees. Check the pricing table above for current rates across all providers offering this model.

What is GPT Realtime mini best used for?

GPT Realtime mini excels at real-time voice conversations, customer service chatbots, voice assistants, and interactive applications where audio input/output is needed. Its lightweight design makes it cost-effective for high-volume voice interactions while still supporting tool calling for API integrations.

How does GPT Realtime mini compare to text-only GPT models?

GPT Realtime mini offers native real-time audio processing that text-only GPT models lack, eliminating the need for separate speech-to-text and text-to-speech systems. However, it's positioned as a lightweight tier with reduced capabilities compared to flagship GPT models, and it doesn't support visual inputs that some other GPT variants offer.