LLM Chatrealtimevoice
OpenAI — gpt-realtime-mini logo

gpt-realtime-mini

by OpenAI · Released 2025

OpenAI gpt-realtime-mini — cheaper speech-to-speech realtime model for voice agents.

OpenAI — gpt-realtime-mini logo
LLM Chat

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

MetricPrice
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

Cost-sensitive voice agents

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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