OpenAI Realtime API

WebSocket API providing real-time bidirectional audio conversation with GPT-4o, including built-in voice activity detection, function calling, and text/audio interleaving.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Repo ↗ AI & Machine Learning voice audio websocket real-time gpt-4o speech tts stt streaming agent bidirectional
⚙ Agent Friendliness
56
/ 100
Can an agent use this?
🔒 Security
84
/ 100
Is it safe for agents?
⚡ Reliability
70
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
78
Error Messages
72
Auth Simplicity
80
Rate Limits
70

🔒 Security

TLS Enforcement
100
Auth Strength
82
Scope Granularity
65
Dep. Hygiene
88
Secret Handling
85

TLS enforced over WebSocket (WSS). Ephemeral token pattern is a good security design for client-side usage. No per-endpoint scope granularity — API key grants full OpenAI platform access. SOC2 Type II certified at the OpenAI platform level.

⚡ Reliability

Uptime/SLA
88
Version Stability
62
Breaking Changes
58
Error Recovery
70
AF Security Reliability

Best When

You need a real-time spoken conversation loop with an LLM and want VAD, transcription, synthesis, and tool calling handled in one connection.

Avoid When

Your use case is asynchronous (process audio files, batch jobs) or you need a stable API without breaking changes risk.

Use Cases

  • Building voice-first AI agents with low-latency conversational responses
  • Customer service bots that accept spoken input and respond with synthesized speech
  • Real-time interview coaching or language tutoring applications
  • Hands-free assistant interfaces for accessibility or automotive contexts
  • Live audio transcription and response pipelines with sub-500ms perceived latency

Not For

  • Batch audio transcription or synthesis — use Whisper API and TTS API instead
  • Text-only LLM use cases where WebSocket complexity adds no value
  • Teams requiring stable, versioned APIs — this API is new (late 2024) and evolving rapidly
  • Cost-sensitive applications with high audio volume — audio tokens are significantly more expensive than text

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
Yes
Webhooks
No

Authentication

Methods: api_key ephemeral_token
OAuth: No Scopes: No

Standard OpenAI API key for server-side connections. For browser/client-side use, generate short-lived ephemeral tokens via a REST endpoint to avoid exposing the master API key. Ephemeral tokens expire after 60 seconds of issuance.

Pricing

Model: pay-as-you-go
Free tier: Yes
Requires CC: No

Audio token pricing is substantially higher than text. A 10-minute conversation costs roughly $3.00 in output audio alone. Text injected via the API (system prompts, tool results) billed at GPT-4o text rates ($2.50/$10.00 per 1M tokens). No per-connection fees.

Agent Metadata

Pagination
none
Idempotent
No
Retry Guidance
Not documented

Known Gotchas

  • Audio must be sent as PCM16 at 24kHz mono — other formats silently fail or produce garbled output
  • Voice activity detection (VAD) thresholds require tuning per environment; default settings trigger on background noise
  • WebSocket connections drop after ~30 minutes of inactivity; agents must implement reconnect logic
  • Function/tool calls arrive as streaming deltas — accumulate the full JSON before parsing
  • Simultaneous input/output audio causes echo feedback unless the client handles acoustic cancellation
  • API is labeled 'beta' as of late 2024 — breaking changes have occurred between minor versions
  • Ephemeral tokens for browser clients must be generated server-side and expire quickly; no refresh mechanism

Alternatives

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Scores are editorial opinions as of 2026-03-07.

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