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gpt-realtime-2.1

gpt-realtime-2.1 updates GPT-Realtime-2 with better alphanumeric recognition, steadier silence and noise handling, and improved interruption behavior, keeping speech-to-speech interaction, configurable reasoning effort, instruction following, and tool use for complex voice-agent workflows. Your use is subject to OpenAI's Terms & Privacy Policies.

Use with AI GatewayView docs
import { gateway } from '@ai-sdk/gateway';


export async function POST() {
  const { token, url } = await gateway.experimental_realtime.getToken({
    model: 'openai/gpt-realtime-2.1',
  });


  return Response.json({ token, url, tools: [] });
}
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About gpt-realtime-2.1

gpt-realtime-2.1 became available on July 9, 2026 as an update to gpt-realtime-2. OpenAI improved three behaviors that decide whether a voice call succeeds: alphanumeric recognition, silence and noise handling, and interruption handling. Speech-to-speech interaction, configurable reasoning effort, instruction following, and tool use all carry over.

Alphanumeric recognition covers order numbers, account IDs, postal codes, and confirmation codes, which is where voice agents most often lose a call. Better silence and noise handling reduces false turn boundaries in loud rooms and over phone lines, so the agent talks over the caller less. Improved interruption behavior lets a caller cut in without derailing the session.

Reasoning effort stays configurable, so you decide how much thinking each session gets. Higher effort raises answer quality on complex turns and increases latency and output token usage. OpenAI also improved caching across the realtime voice models, which brings tail latency down. See the live metrics on this page for current numbers.

gpt-realtime-2.1 takes text, audio, and image input and returns text and audio, with a context window of 128K tokens and up to 32K tokens of output. Function calling works mid-conversation, so an agent can look up an order or update a record while the caller is still talking. Through AI Gateway, you get the same authentication, observability, and spend controls as your text models, with no markup on provider pricing.