With this release, we’ve also reduced p95 latency by at least 25% across Realtime voice models through improved caching.
gpt-realtime-2.1 updates GPT-Realtime-2 with improved alphanumeric recognition, silence and noise handling, and interruption behavior. It supports speech-to-speech interactions with configurable reasoning effort, instruction following, and tool use for more complex voice-agent workflows.
gpt-realtime-2.1-mini is a mini reasoning model for faster, lower-cost realtime voice interactions.
A quick way to choose:
Use gpt-realtime-2.1 when you want the strongest realtime reasoning, tool use, instruction following, and voice-agent behavior.
Use gpt-realtime-2.1-mini when you want a faster, more cost-efficient option for realtime voice experiences.
Pricing
Model
Text input
Text cached input
Text output
Audio input
Audio cached input
Audio output
Image input
Image cached input
gpt-realtime-2.1
$4.00
$0.40
$24.00
$32.00
$0.40
$64.00
$5.00
$0.50
gpt-realtime-2.1-mini
$0.60
$0.06
$2.40
$10.00
$0.30
$20.00
$0.80
$0.08
Try them in the Playground and let us know what you build with these models and how they perform in your realtime voice workflows. Share your feedback, questions, and examples in the thread.
I tested gpt-realtime-2.1-mini against the previous/default gpt-realtime-mini.
The new mini model seems better in some areas: it respects prompt rules more consistently and appears to understand Portuguese names more accurately in voice calls.
However, I can’t migrate yet because it stopped triggering function tools in my SIP Realtime flow. With the same prompt, same tools, same SIP accept payload, and same backend handler, gpt-realtime-mini calls the function correctly, while gpt-realtime-2.1-mini collects and confirms the order but then says it cannot register/send it.
