Voice product builders
Build conversational interfaces where interruption and low delay matter more than a turn-based chat interface.
Independent tool overview
GPT-Live-1: features, pricing, and who it is for
OpenAI full-duplex voice model for developer-built conversations and voice agents.
Visit the official GPT-Live-1 site ↗
- Type
- Realtime voice API model
- Access
- OpenAI API
- Voice session
- $0.05/minute billed per second
- Backend
- Reasoning and tools billed separately
Overview
What GPT-Live-1 is
GPT-Live-1 is a real-time voice model in the OpenAI API. It listens and speaks at the same time, allowing people to interrupt naturally instead of waiting for a rigid speech-to-text, text model, and text-to-speech chain. OpenAI presents it as the front end of a voice agent: deeper reasoning and tool actions can be delegated to a backend model or agent selected by the developer.
The release adds control over voice tone, pace, and style through prompting and a larger set of voices. It is infrastructure for an application, not a ready-made call-center product. Teams still need to design consent, handoff, tool permissions, transcript handling, and escalation. OpenAI's per-minute session charge is distinct from backend model and tool charges, so an end-to-end cost estimate has to include both layers.
Use cases
Who GPT-Live-1 is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Support workflow teams
Prototype spoken triage or assistance, with a clear transfer path when the agent cannot resolve an issue.
Learning applications
Use conversational pacing and promptable speaking style for practice and tutoring experiences.
Capabilities
Core GPT-Live-1 features
Full-duplex audio
The same model receives and emits speech concurrently to support interruption and turn-taking.
Backend delegation
It can hand reasoning and tool calls to a configured text model or agent harness.
Promptable delivery
System instructions can shape speaking tone, pace, and conversational style.
Voice selection
The API release broadened accent, dialect, and language-oriented voice choices.
Realtime endpoint
Developers call `gpt-live-1` through the API realtime interface rather than a consumer subscription feature.
Process
How the GPT-Live-1 workflow works
Step 1
Choose a narrow conversation
Define a task, permitted actions, failure handoff, and what the user should hear while a backend step runs.
Step 2
Set up the realtime session
Use the official model and realtime documentation to connect audio and configure voice instructions.
Step 3
Wire the backend
Delegate only the reasoning or tools needed for the task, with authorization checks before external actions.
Step 4
Test actual calls
Measure interruption behavior, latency, accents, noisy audio, escalation, and total session plus backend cost.
Cost
GPT-Live-1 pricing and free plan
OpenAI lists GPT-Live-1 voice sessions at $0.05 per minute, billed per second. Backend Responses calls use the chosen model and tool rates separately.
Front-end voice session
$0.05 per minute
Usage is metered by actual session duration.
- Billed per second
- Realtime API access
- No rounding to a full minute stated
Backend reasoning and tools
Additional usage-based charges
Optional delegated work is not included in the voice-session rate.
- Chosen backend model has its own rates
- Tool charges may apply
- Estimate both layers per conversation
Pricing checked . Check current pricing at the source ↗
Assessment
GPT-Live-1 strengths and limitations
Where it stands out
- Natural interruption handling addresses a common voice-agent pain point.
- Separating voice delivery from backend reasoning lets builders choose the right model for each task.
- Published per-minute session pricing makes baseline conversation cost straightforward to model.
What to consider
- This is an API component that requires application engineering and safety design.
- Long or idle sessions can accrue voice cost while backend calls add separate charges.
- Voice quality and response behavior should be tested with real users and noisy environments.
Compare
GPT-Live-1 alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Coding
Deepgram
Consider specialized speech transcription in a custom voice pipeline.
Explore Deepgram →Marketing
ElevenLabs
Consider a dedicated voice-generation platform if speech output is the central requirement.
Explore ElevenLabs →Consumer
Hark Pro
Consider a finished personal assistant instead of building a voice application.
Explore Hark Pro →Questions
GPT-Live-1 FAQs
Is GPT-Live-1 available in ChatGPT plans?
This listing covers the API model. OpenAI documents it as a realtime API voice layer for developers.
What does $0.05 per minute include?
It covers the front-end voice session; backend model calls and tools are billed separately.
Can it call tools itself?
The published design delegates reasoning and tool use to a backend model or agent harness the developer chooses.
Why use full-duplex audio?
It can hear the person while speaking, making interruption and conversational turn-taking less rigid than separate speech stages.
Bottom line
Our GPT-Live-1 verdict
GPT-Live-1 suits teams building an interactive voice surface rather than buying a packaged assistant. Its strongest case is responsive conversation with controlled delegation. Evaluate real call behavior and all-in cost before committing to a production interaction design.
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