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Low-latency speech-to-speech for voice agents
Pros
- Industry-leading conversational latency
- Tight tool-use integration
- Caching dramatically cuts cost
Cons
- Token-based pricing is hard to forecast
- Uncached cost can exceed $0.30/min
- Requires engineering to deploy
✓ Where it shines / best for
- Developers building real-time voice agents and assistants
- Voice-enabled customer support and phone automation
- Low-latency conversational apps requiring tool use
✕ Not the best fit for
- No-code users wanting a ready-made app
- Cost-sensitive batch TTS where flat per-character pricing is cheaper
- Offline/on-device speech needs
Features
- ✓ API access
- ✓ Real-time
- ✓ Multilingual
- ✓ Voice agents
- ✓ Low latency
- ✓ Speech To Speech
- ✓ Function Calling
- ✓ Webrtc
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Text input | $4.00 | per 1M tokens | gpt-realtime text input tokens |
| Text output | $16.00 | per 1M tokens | gpt-realtime text output tokens |
| Cached text input | $0.40 | per 1M tokens | Cached input discount |
| Audio input | $32.00 | per 1M tokens | gpt-realtime audio input tokens |
| Cached audio input | $0.40 | per 1M tokens | Cached audio input |
| Audio output | $64.00 | per 1M tokens | gpt-realtime audio output tokens |
Pricing verified from the official source. Prices change often — confirm on the vendor's site before buying.
Specifications
| model | gpt-realtime |
| modality | speech-to-speech |
Sponsored
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