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OpenAI Intermediate

GPT-Realtime-2.1 Mini

GPT-Realtime-2.1 Mini is a verified current AI model with official specifications, pricing or access information, capabilities, practical use cases and limitations.

Realtime Voice ModelTextImageAudio Paid
In plain English

What is this model and why does it matter?

GPT-Realtime-2.1 Mini is OpenAI's lower-cost realtime reasoning model for voice agents, with text and audio I/O, image input, tool use and improved alphanumeric recognition.

Voice agentsRealtime customer supportPhone assistantsInteractive AITool-using speech applications
Model overview

GPT-Realtime-2.1 Mini: features, use cases and important details

GPT-Realtime-2.1 Mini is a current AI model verified from first-party OpenAI sources.

GPT-Realtime-2.1 Mini verified specifications

GPT-Realtime-2.1 Mini is OpenAI’s lower-cost realtime reasoning model for voice agents, with text and audio I/O, image input, tool use and improved alphanumeric recognition. The verified context or usage limit is 128000 tokens, with 32000 tokens maximum output.

GPT-Realtime-2.1 Mini pricing and access

Text pricing is $0.60 per 1M input tokens, $0.06 per 1M cached input tokens and $2.40 per 1M output tokens. Audio pricing is $10/M input and $20/M output.

GPT-Realtime-2.1 Mini best uses

Voice agents, Realtime customer support, Phone assistants, Interactive AI, Tool-using speech applications.

GPT-Realtime-2.1 Mini limitations

Audio remains more expensive than text, Realtime systems need latency testing, Voice-agent actions require safeguards.

Get started

How to use this model

  1. Create an OpenAI API key.
  2. Call gpt-realtime-2.1-mini.
  3. Connect over WebRTC, WebSocket or SIP.
  4. Configure voice and reasoning behavior.
  5. Add function tools if required.
  6. Monitor text and audio token usage.
Copy and try

Example prompts

  • Act as a realtime support agent and resolve this issue.
  • Listen to the caller and extract the account request.
  • Use the available function when the user confirms the action.
Capabilities

What it can do

  • 128K context
  • 32K output
  • Realtime audio
  • Text I/O
  • Image input
  • Function calling
  • Reasoning
Best for

Practical use cases

  • Voice bots
  • Contact centers
  • Phone automation
  • Realtime assistants
  • Conversational applications
Pricing

What does it cost?

Text pricing is $0.60 per 1M input tokens, $0.06 per 1M cached input tokens and $2.40 per 1M output tokens. Audio pricing is $10/M input and $20/M output.

Input$0.60 / 1M text tokens; $10 / 1M audio tokens
Output$2.40 / 1M text tokens; $20 / 1M audio tokens
Simple summaryDesigned as a lower-cost realtime tier. Audio tokens are priced separately from text tokens.

What stands out

  • Lower cost than flagship realtime tier
  • Tool use
  • Large realtime context
  • Audio and text support

Things to consider

  • No structured outputs
  • No fine-tuning
  • Proprietary
Limitations

Important restrictions and trade-offs

  • Audio remains more expensive than text
  • Realtime systems need latency testing
  • Voice-agent actions require safeguards
SimplifyAITools verdict

Our editorial take

A strong high-demand realtime model for developers who want modern OpenAI voice-agent capabilities at a lower cost than the full GPT-Realtime-2.1 tier.

References

Primary sources

  1. Open source 1 ↗
  2. Open source 2 ↗
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