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What is Griffin?

Griffin is recognized as Tavus’s first Human Interaction Model, an advanced full-duplex video-to-video system designed to interpret and generate real-time, face-to-face human engagements. Unlike traditional conversational systems that address speech recognition, language modeling, and speech synthesis in a step-by-step process, Griffin functions by constantly processing audio and video inputs, making prompt decisions for responses, and simultaneously providing expressive verbal and visual feedback. It pays close attention not only to the verbal content but also to the nuances of tone, eye contact, facial expressions, gestures, pauses, interruptions, and the overall visual context. This model demonstrates functionality such as backchanneling, yielding or taking conversational turns, effectively managing interruptions, staying engaged during silences, and modifying its emotional tone and nonverbal signals as the conversation progresses. Additionally, Griffin can create a rich visual scene based on a reference image, encompassing aspects like facial features, body movements, hand gestures, chair positioning, shadows, and background details, which enables it to offer a more immersive experience beyond merely presenting a talking head. The integration of these capabilities significantly enriches the quality and realism of human-like interactions, making conversations feel more genuine and engaging.

What is GPT-Realtime-2.1?

GPT-Realtime-2.1 is an OpenAI realtime reasoning model for developers building voice agents, conversational AI assistants, and speech-to-speech applications. The model is designed to support fast interactive experiences where users can speak naturally and receive audio or text responses. GPT-Realtime-2.1 updates GPT-Realtime-2 with improved handling of alphanumeric recognition, silence, background noise, and interruptions. It supports text, audio, and image input, with text and audio output, while video is not supported. The model includes configurable reasoning effort so developers can balance reasoning depth, latency, and token usage for different voice-agent workflows. GPT-Realtime-2.1 also supports instruction following, function calling, tool use, and reasoning tokens for more complex applications. Its 128,000-token context window and 32,000-token maximum output allow it to manage longer conversations and richer task context. OpenAI lists support across endpoints such as Chat Completions, Responses, Realtime, realtime translations, realtime transcription sessions, Assistants, Batch, and related API services. The model’s documented pricing includes $4 per 1 million text input tokens, $0.40 per 1 million cached text input tokens, and $24 per 1 million text output tokens, with separate audio and image token pricing. GPT-Realtime-2.1 is not documented as supporting streaming, structured outputs, fine-tuning, or predicted outputs. By combining realtime speech, multimodal input, reasoning, function calling, and tool use, GPT-Realtime-2.1 gives developers a foundation for building sophisticated AI voice agents and interactive customer-facing applications.

Media

Media

Integrations Supported

Tavus

Integrations Supported

OpenAI
gpt-realtime

API Availability

Has API

API Availability

Has API

Pricing Information

$22 per month
Free Version

Pricing Information

$0.40 per cached input
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Tavus

Date Founded

2020

Company Location

United States

Company Website

www.tavus.io/griffin

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

developers.openai.com/api/docs/models/gpt-realtime-2.1

Categories and Features

AI Models

Not specified

Categories and Features

AI Models

Not specified

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