Can I use the OpenAI Realtime API in production right now?

Teams already using OpenAI Realtime need to know what breaks when the beta interface is removed on May 7, 2026, and whether to migrate now to the GA Realtime API or re-architect around another realtime stack before production traffic is affected.

Yes, but start on GA — the beta interface and preview model are removed May 7, 2026.

Blockers

Who this is for

Candidates

Migrate now to the GA Realtime API on current GA models

As of 2026-03-15, OpenAI's official deprecations page says the Realtime API beta interface using the `OpenAI-Beta: realtime=v1` header will be removed on 2026-05-07, not 2026-02-27. The GA Realtime path is already documented and adds production features such as remote MCP servers, image input, SIP calling, reusable prompts, and current GA models including `gpt-realtime` and `gpt-realtime-1.5`.

When to choose

Best for real-time + low-ops teams already committed to OpenAI voice agents, and for enterprise + compliance teams that need an officially supported path with current features and enough runway to validate before 2026-05-07. Choose this when you still need native WebRTC, WebSocket, or SIP realtime sessions instead of a request-response audio flow.

Tradeoffs

This is the most direct path and avoids rebuilding product behavior around a different interaction model. The tradeoff is real migration work: remove the beta header, move ephemeral key generation to `POST /v1/realtime/client_secrets`, switch WebRTC SDP setup to `/v1/realtime/calls`, add `session.type`, and update event names and item shapes to the GA schema.

Cautions

GA is not wire-compatible with the beta interface. OpenAI's GA migration guide explicitly documents renamed events such as `response.text.delta` to `response.output_text.delta`, replacement of `conversation.item.created` with `conversation.item.added` and `conversation.item.done`, and new assistant content types such as `output_text` and `output_audio`. Pricing also changed versus preview: as of 2026-03-15, `gpt-realtime` and `gpt-realtime-1.5` list audio pricing at $32 per 1M input tokens and $64 per 1M output tokens.

Run a short dual-stack migration from beta to GA Realtime before cutoff

A staged migration is viable because OpenAI still documents how to keep beta behavior temporarily by continuing to send `OpenAI-Beta: realtime=v1`, while separately documenting the GA interface and migration differences. As of 2026-03-15, this should be treated as a brief transition plan only, because the beta interface and preview realtime models have a fixed removal date of 2026-05-07.

When to choose

Best for enterprise + microservices-like rollouts, or small-team + production systems where you cannot cut over all clients, gateways, and observability at once. Choose this when you need to translate event payloads, session setup, and model identifiers incrementally while keeping production traffic stable.

Tradeoffs

This reduces release risk and gives you time to canary the GA event model, auth flow, and model changes. The tradeoff is temporary dual-stack complexity: more adapters, more test cases, and more chances to miss a beta-only assumption in one service.

Cautions

Do not treat this as a defer-and-ignore option. OpenAI's deprecations page also says `gpt-4o-realtime-preview`, `gpt-4o-realtime-preview-2025-06-03`, `gpt-4o-realtime-preview-2024-12-17`, and `gpt-4o-mini-realtime-preview` are removed on 2026-05-07, with `gpt-realtime-1.5` or `gpt-realtime-mini` listed as replacements. Any migration plan that keeps beta protocol assumptions or preview model IDs past that date is exposed to a hard outage.

Re-architect away from persistent Realtime sessions to GA audio request-response APIs

If full-duplex low-latency session behavior is not actually required, OpenAI's current GA audio models provide an alternate architecture: `gpt-audio-1.5` and `gpt-audio-mini` are available on standard API flows such as Chat Completions and Responses, and can also be used on `/v1/realtime`; this option is specifically about choosing request-response audio flows instead of building around persistent realtime sessions. As of 2026-03-15, this can be a cleaner long-term choice for teams that mainly need audio I/O, larger context windows, and simpler server control rather than browser WebRTC or SIP session management.

When to choose

Best for serverless + low-ops or cost-sensitive + small-team deployments where conversational latency can be request-response instead of continuously interactive, and for compliance-conscious systems that prefer simpler endpoint behavior over long-lived realtime connections. Choose this when your product can tolerate losing native barge-in style realtime session semantics.

Tradeoffs

This can simplify infrastructure and reduce feature-surface migration work because you are leaving the beta-vs-GA Realtime protocol problem entirely. The tradeoff is architectural: you are no longer using Realtime's native session model for browser voice agents, WebRTC, WebSocket, or SIP calling, so user experience and latency characteristics will differ.

Cautions

As of 2026-03-15, this is not a drop-in replacement for apps built around always-on realtime audio turns. Also review current data controls directly: OpenAI's data controls page says `/v1/realtime` is Zero Data Retention eligible with no application-state retention, while regional data residency for `/v1/realtime` lists `gpt-realtime`, `gpt-realtime-1.5`, and `gpt-realtime-mini` for US and EU, and notes that tracing is not currently EU data residency compliant for `/v1/realtime`.

Facts updated: 2026-03-15
Published: 2026-03-27

Try with your AI agent

$ npm install -g pocketlantern
$ pocketlantern init
# Restart Claude Code, Cursor, or your MCP client, then ask:
# "Can I use the OpenAI Realtime API in production right now?"
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