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GPT-Realtime-1.5

GPT-Realtime-1.5 is OpenAI's flagship audio model for voice agents and customer support, handling speech-to-speech conversation with stronger instruction following and more reliable tool calling than earlier realtime preview models.

index.ts
import { gateway } from '@ai-sdk/gateway';
export async function POST() {
const { token, url } = await gateway.experimental_realtime.getToken({
model: 'openai/gpt-realtime-1.5',
});
return Response.json({ token, url, tools: [] });
}

Playground

Try out GPT-Realtime-1.5 by OpenAI. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.

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Voice agent

Talk to a realtime agent. It listens to your voice and replies with audio.

Idle
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Start the session and ask the agent something.

Providers

Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.

Provider
Latency
Input
Output
Capabilities
ZDR
No Training
Release Date
OpenAI
Legal:Terms
Privacy
$4/M+1 more
$16/M
02/23/2026

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About GPT-Realtime-1.5

GPT-Realtime-1.5 launched on February 23, 2026 as OpenAI's flagship realtime audio model for voice agents and customer support. Compared with earlier realtime preview models, GPT-Realtime-1.5 delivers stronger instruction following, more reliable tool calling, and better voice quality.

Speech-to-speech is the defining design choice. Rather than chaining transcription, a text model, and speech synthesis, GPT-Realtime-1.5 processes audio natively and responds in audio. That cuts latency and produces responses that sound more natural. Tool calling works during live conversation, so a voice agent can check a calendar or query a database while the caller is still talking.

GPT-Realtime-1.5 also enacts specified roles reliably, following instructions to hold a particular personality or tone. That consistency makes GPT-Realtime-1.5 practical for branded support experiences and scripted workflows at scale.

What To Consider When Choosing a Provider

  • Configuration: Realtime support on AI Gateway is in beta through AI SDK 7. The integration is WebSocket-based: your server mints a short-lived token, and the browser connects with the AI SDK's realtime hook, which handles microphone capture and playback. Your AI Gateway API key never reaches the client.
  • Zero Data Retention: AI Gateway does not currently support Zero Data Retention for this model. See the documentation for models that support ZDR.
  • Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.

When to Use GPT-Realtime-1.5

Best for

  • Customer support agents: Script-following voice agents that answer, resolve, and escalate correctly
  • Tool-calling voice workflows: Assistants that check calendars, query databases, or call APIs mid-conversation
  • Low-latency voice interfaces: Native speech-to-speech avoids the delay of chained transcription and synthesis
  • Role-consistent personas: Agents that hold a defined personality or tone across long sessions

Consider alternatives when

  • Deeper reasoning required: gpt-realtime-2 adds configurable reasoning effort for complex voice workflows
  • Recorded audio transcription: gpt-4o-transcribe and gpt-4o-mini-transcribe are built for speech-to-text jobs
  • Cost-sensitive voice features: gpt-realtime-mini handles high-volume, simpler interactions at a lower rate

Conclusion

GPT-Realtime-1.5 is the production baseline for voice agents through AI Gateway: native speech-to-speech, reliable tool calling, and consistent instruction following. Build here first, and move specific workflows to gpt-realtime-2 when they need configurable reasoning.