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What is gpt-4o-mini Realtime?

The gpt-4o-mini-realtime-preview model is an efficient and cost-effective version of GPT-4o, designed explicitly for real-time communication in both speech and text with minimal latency. It processes audio and text inputs and outputs, enabling seamless dialogue experiences through a stable WebSocket or WebRTC connection. Unlike its larger GPT-4o relatives, this model does not support image or structured output formats and focuses solely on immediate voice and text applications. Developers can start a real-time session via the /realtime/sessions endpoint to obtain a temporary key, which allows them to stream user audio or text and receive instant feedback through the same connection. This model is part of the early preview family (version 2024-12-17) and is mainly intended for testing and feedback collection, rather than for handling large-scale production tasks. Users should be aware that there are certain rate limitations, and the model may experience changes during this preview phase. The emphasis on audio and text modalities opens avenues for technologies such as conversational voice assistants, significantly improving user interactions across various environments. As advancements in technology continue, it is anticipated that new enhancements and capabilities will emerge to further enrich the overall user experience. Ultimately, this model serves as a stepping stone towards more versatile applications in the realm of real-time communication.

What is TML-interaction-small?

TML-Interaction-Small is a real-time multimodal interaction model developed by Thinking Machines Lab to enable scalable human-AI collaboration through continuous interaction across audio, video, and text. The model is designed to overcome the limitations of traditional turn-based AI systems by allowing humans and AI to communicate more naturally through simultaneous perception, speech, visual understanding, interruptions, and collaborative reasoning. Instead of relying on external dialog management systems or separate real-time scaffolding, TML-Interaction-Small handles interaction natively through a time-aware architecture built around continuous 200ms micro-turn exchanges. This architecture allows the model to process streaming input and generate output concurrently while maintaining awareness of silence, interruptions, overlap, timing, and visual context. The model is capable of responding proactively to spoken and visual cues, enabling interaction patterns such as live translation, contextual interruptions, visual monitoring, simultaneous speech, live commentary, and continuous conversational collaboration. TML-Interaction-Small also coordinates with an asynchronous background reasoning model that performs deeper reasoning, tool usage, web browsing, and longer-horizon tasks while the interaction layer remains present and responsive throughout the conversation. Thinking Machines Lab designed the system to reduce the collaboration bottleneck in modern AI workflows by enabling humans to stay continuously involved in AI-assisted processes rather than being pushed out by fully autonomous systems. The model uses a multimodal streaming architecture with lightweight audio and visual processing pipelines, encoder-free early fusion techniques, optimized streaming inference infrastructure, and batch-invariant kernels for low-latency performance and training stability.

Media

Media

Integrations Supported

GPT-4o
OpenAI
WebRTC

Integrations Supported

GPT-4o
OpenAI
WebRTC

API Availability

Has API

API Availability

Has API

Pricing Information

$0.60 per input
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

platform.openai.com/docs/models/gpt-4o-mini-realtime-preview

Company Facts

Organization Name

Thinking Machines Lab

Company Location

United States

Company Website

thinkingmachines.ai/

Categories and Features

Categories and Features

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