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Model details

GPT-Realtime-2.1

GPT-Realtime-2.1 is positioned as a next-generation speech-to-speech reasoning model purpose-built for live conversational interactions. It processes streaming audio input and produces audio responses while carrying out built-in reasoning as part of the response pipeline, rather than treating reasoning as a separate stage. The design emphasis on continuous, low-latency streaming makes it well suited for voice assistants, interactive agents, and other scenarios where responsiveness during an ongoing dialogue matters more than batch processing.

On Microsoft Foundry the model is listed as a Direct from Azure offering under the Azure OpenAI service, sitting within a curated portfolio that Microsoft frames as secure and managed, with unified billing, governance, and portable reserved capacity across hosted models. This commercial positioning points to enterprise-oriented deployment rather than self-hosted open weights, and the Direct from Azure framing suggests the model is meant to be adopted alongside other Azure-hosted voice and reasoning models for consistent operations. For practitioners, it offers a path to streaming voice experiences with embedded reasoning on managed infrastructure, with the practical fit being real-time customer-facing voice products that benefit from a single vendor-managed stack.

OpenAIgpt-realtime-2.1gpt

Quick Info

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Provider
OpenAI
Model key
gpt-realtime-2.1
Release date
Jul 6, 2026
Last updated
Jul 6, 2026
Knowledge cutoff
2024-09-30
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$4.00
Output token cost
$24.00

Limits

Input tokens
96,000 tokens
Output tokens
32,000 tokens
Context window
128,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about GPT-Realtime-2.1

OpenAI

Coverage

An independent tool overview from therundown.ai covers OpenAI's GPT-Realtime-2 speech-to-speech model and explicitly identifies GPT-Realtime-2.1 as the current improved successor. According to the page, GPT-Realtime-2.1 is positioned as a same-price update that OpenAI says improves alphanumeric recognition, silence and The article frames the 2.1 update as a capability refinement rather than a re-pricing event, noting the token costs remain unchanged and the core use cases—voice-to-action agents, customer support calls, live spoken guidance, and longer voice workflows—carry forward from GPT-Realtime-2. Stronger-fit guidance is for app

OpenAI

CoverageBenchmark

A BetaNews report from July 30, 2026, covering Artificial Analysis's Speech-to-Speech Index, assigns OpenAI's GPT-Realtime-2.1 High a score of 79.1%, placing it below Alibaba's Qwen-Audio-3.0-Realtime Plus at 84.1%. This marks the first time an Alibaba model has topped that index. The evaluation was conducted following The article is primarily an Alibaba benchmark story; GPT-Realtime-2.1 High is referenced only as a comparator. Notably, OpenAI's same-day releases were two transcription models — GPT-Live-Transcribe (real-time, low-latency speech-to-text) and GPT-Transcribe (asynchronous batch transcription) — which are distinct from G

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