OpenAI Ships GPT-Realtime-2.1 with 25% Lower Latency and a Reasoning Mini Tier
OpenAI released gpt-realtime-2.1 and gpt-realtime-2.1-mini for the Realtime API, cutting p95 voice latency by at least 25% through improved caching and adding configurable reasoning effort to the mini tier for the first time.
OpenAI released two new voice models for its Realtime API on July 6: gpt-realtime-2.1 and a smaller gpt-realtime-2.1-mini that gains reasoning capability for the first time, at the same price as its predecessor.
- P95 latency across Realtime voice models drops by at least 25% via improved caching
- gpt-realtime-2.1: $4.00 / $32.00 / $64.00 per million tokens for text input / audio input / audio output
- gpt-realtime-2.1-mini: $0.60 / $10.00 / $20.00 per million tokens, unchanged from the prior mini
- Mini tier adds configurable reasoning effort for realtime voice agents
- Full model improves alphanumeric recognition, noise handling, and interruption behavior
The update targets production voice agents: both models can narrate intermediate steps, such as saying 'I'll check that order now,' before executing a tool call, to keep multi-step conversations coherent. Compare voice and reasoning models side by side in the arena.
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