GPT Realtime 2.1 released
OpenAI · Model release
Source confirmed
GPT Realtime 2.1
Released Jul 6, 2026 — see all recent releases
Decision reading
GPT Realtime 2.1 is tracked, but not publicly ranked yet. The profile exposes 0 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Data as of September 10, 2026 · How the score is built
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Check this modelVoice benchmark evidence
EVA-Bench is an owner-defined voice evaluation. Its result stays separate from BenchLM's weighted text-model ranking.
Accuracy pass rate
59.0%
Experience pass rate
61.6%
Response speed
1.64s
Architecture
s2s
Provider API ID
gpt-realtime-2.1
Live benchmark-owner JSON · accuracy and experience remain separate
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- gpt-realtime-2.1OpenAI GPT Realtime 2.1 model documentation
- Context window
- 128KOpenAI GPT Realtime 2.1 model documentation
- Maximum output
- Not sourced yet
- Knowledge cutoff
- September 30, 2024OpenAI GPT Realtime 2.1 model documentation
- Input modalities
- text, audio, imageOpenAI GPT Realtime 2.1 model documentation
- Output modalities
- text, audioOpenAI GPT Realtime 2.1 model documentation
- Parameters
- Not disclosed by the provider
- Availability
- OpenAI APIOpenAI GPT Realtime 2.1 model documentation
- Cloud regions
- Not tracked yet
- Lifecycle
- activeOpenAI GPT Realtime 2.1 model documentation
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Published at $0.40 per million cached input tokensOpenAI model documentation
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
Lineage
The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Jul 6, 2026 · you are here
GPT Realtime 2.1Not publicly ranked · $4 / $24
Base entry
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track GPT Realtime 2.1, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.
GPT Realtime 2.1 is a proprietary model with a 128K context window. No explicit reasoning mode is documented in this profile.
Available on the OpenAI Realtime API (v1/realtime over WebRTC, WebSocket, or SIP) as gpt-realtime-2.1 since July 6, 2026, with text, audio, and image input, text and audio output, a 128,000-token context, and 32,000-token maximum output. OpenAI reports a 25% p95 latency reduction across Realtime models with this release.
GPT Realtime 2.1 is a display-only speech-to-speech reasoning model with configurable reasoning effort and tool use on the Realtime API. Voice-protocol results remain separate from BenchLM’s weighted text-model ranking.
The profile has no source-displayable benchmark row yet.
Radar
Full release historyGPT Realtime 2.1 release history
Radar confirmed these at the source. Use GPT Realtime 2.1 in your work? Explore Radar to follow supported changes and choose your alerts.
Frequently asked questions
How does GPT Realtime 2.1 perform overall in AI benchmarks?
GPT Realtime 2.1 does not have any source-displayable benchmark rows yet, so this profile does not assign a public score or rank. Documented specifications remain visible, while score-led charts and claims stay unavailable until a published evaluation can be attached to the exact model.
Does GPT Realtime 2.1 have full benchmark coverage on BenchLM?
No. GPT Realtime 2.1 currently has 0 source-displayable rows across 434 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of GPT Realtime 2.1?
GPT Realtime 2.1 has a documented context window of 128K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.
Compare GPT Realtime 2.1 with every tracked model482 comparisons
Last updated September 10, 2026. Runtime fields remain blank until a sourced snapshot exists.
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