gpt-realtime-2.1-mini

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About this model

GPT-Realtime 2.1 Mini is a cost-efficient, low-latency streaming model for real-time speech and conversational AI applications. It continuously processes audio input and generates responses during live interactions, enabling voice assistants, interactive agents, and multimodal experiences. The model combines speech recognition, reasoning, and response generation in a unified real-time workflow.

Supported region: Sweden Central, East US 2, Central US, France Central, South India, Canada Central

Key model capabilities

Key Features:

• Speech‑to‑speech (S2S) interaction
  Accepts audio input and produces audio output, enabling full conversational voice flows.
• Built‑in reasoning capabilities
  Incorporates internal reasoning during each turn, improving instruction following and response quality without exposing reasoning traces.
• Reasoning‑first interaction model
  Designed with reasoning‑centric turn behavior, allowing the model to think before producing final responses.
• Configurable reasoning effort
  Supports a reasoning.effort parameter with values:
  minimal | low | medium | high, enabling control over reasoning depth and latency tradeoffs.
• Structured response phases
  Outputs responses in phases:
  commentary → preamble (thinking / filler / tool signals)
  final_answer → final response after reasoning
• Low‑latency streaming for real‑time use
  Optimized for interactive voice applications where responses must be generated quickly during live conversations.
• Long conversational context support
  Supports extended context windows (up to ~128k) to maintain richer multi‑turn conversations.
• Improved instruction following vs earlier models
  Designed to provide stronger adherence to system prompts and user instructions compared to earlier realtime models.
• Successor to gpt‑realtime‑1.5
  Represents a reasoning-enabled upgrade to the previous realtime S2S model stack.