gpt-realtime-mini
by OpenAI · Released 2025
OpenAI gpt-realtime-mini — cheaper speech-to-speech realtime model for voice agents.
gpt-realtime-mini
Powered by OpenAI · Realtime multimodal
Context Window
32K
Parameters
Not disclosed
Max Output
N/A
Category
LLM Chat
Overview
`gpt-realtime-mini` is OpenAI's cost-efficient realtime speech-to-speech model — the same unified audio-in/audio-out product pattern as `gpt-realtime`, tuned for ~3× lower cost. On CallMissed, select it as `llm_model=gpt-realtime-mini` when creating a voice session.
Text: $0.60 in / $2.40 out per 1M; audio: $10 in / $20 out per 1M. On CallMissed it bills against active call minutes — roughly $0.118/min — so you don't have to do token math. Best for consumer-facing assistants, internal help lines, and high-volume pilots where full realtime quality is overkill.
Voices: alloy, echo, shimmer, ash, ballad, coral, sage, verse, marin, cedar.
Pricing
| Metric | Price |
|---|---|
| Input /1M tokens | ₹60.0000 |
| Output /1M tokens | ₹240.0000 |
1 credit = ₹1 = $0.01 USD. Prices shown from provider; CallMissed passes through with ~35% markup.
Key Highlights
- Lower cost realtime
- Speech-to-speech
- $0.118/min
Technical Details
- Model id: gpt-realtime-mini
- ~$0.118 per active call minute
Strengths
- Cheaper than gpt-realtime
Limitations
- Voice-only surface
Use Cases
API Example
# Create a voice session with llm_model=gpt-realtime-mini
Endpoint: WebSocket /v1/voice/sessions · Model ID: gpt-realtime-mini
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