TL;DR — As of 2026-09-15, OpenAI put GPT-Live-1 in the API on 2026-09-10: listen-and-speak at once, ~0.8s turn-taking vs ~1.4s on GPT-Realtime-2.1, $0.05 per minute for the front-end voice layer. It keeps a conversation going. It does not file what last week's meeting decided.
Paste a podcast, lecture, or meeting URL — BibiGPT turns it into chapters, a transcript, and follow-up Q&A.
As of 2026-09-15, OpenAI put GPT-Live-1 in the API on 2026-09-10: full-duplex voice, 0.798s turn-taking vs 1.41s on GPT-Realtime-2.1, $0.05/min for the front-end layer. Backend reasoning is delegated. This is a live conversation product, not a summary engine.
Public numbers from OpenAI's API announcement and developer docs — not a claim that BibiGPT runs this model.
GPT-Live-1 reasons over incoming and outgoing audio in one model. Callers can interrupt, backchannel, or change direction without a walkie-talkie pause. That is a live call, not a recap.
OpenAI reports 0.798-second turn-taking vs 1.41 seconds for GPT-Realtime-2.1. The voice layer is $0.05 per minute, billed per second. Backend models and tools are billed separately.
Launch voices: Quartz, Ripple, Vesper, Willow, Stone, Gleam, Meridian, Bossa, Tempo, Beacon, Delta, Cinder. Inputs and outputs are audio and text. Image input from the Realtime line is not in this card.
A smoother interruption does not timestamp last week's decision. Knowledge work still needs a file you can search next Tuesday.
GPT-Live-1 keeps the conversation going while a backend looks things up. After the call, you still need chapters, a transcript, and a quote you can find again. That job is async.
Laxis State of Meetings 2026: knowledge workers sit through 21.7 meetings a week, about 30% of the work week. A faster turn-take does not shrink that pile. A timestamped recap does.
Edison Infinite Dial 2026: US podcast listeners average 8 hours 24 minutes a week across 6.8 shows. The leftover episodes need a triage desk, not another live voice. A summary decides which hour is worth playing.
Headline shifts from OpenAI's 2026-09-10 GPT-Live-1 API launch.
One model reasons over incoming and outgoing audio together. Interruptions, pauses, and backchannels stay in the same session. GPT-Realtime-2.1 waited for a turn to finish.
OpenAI reports 0.798s turn-taking vs 1.41s for GPT-Realtime-2.1, and 80.1% on Full Duplex Bench v1.5 interactivity vs 45.4%. Those scores are OpenAI's evals, restated here, not a test we ran.
Voice sessions cost $0.05 per minute, billed per second. Deeper reasoning and tools go to a backend you choose and pay separately. The list price is OpenAI's, not a BibiGPT SKU.
Quartz, Ripple, Vesper, Willow, Stone, Gleam, Meridian, Bossa, Tempo, Beacon, Delta, Cinder. Native ASR transcripts and reply text. No image or video input on this card.
GPT-Live-1 can keep talking while a backend looks up an order or runs a tool. After the session, you still need chapters and a transcript you can search next week. That is the BibiGPT path, not a GPT-Live-1 integration.
Where a live voice layer helps — and where a notes workflow still does the work.
US listeners average 8 hours 24 minutes a week across 6.8 shows (Edison Infinite Dial 2026). A live voice API does not triage the backlog. Generate chapters first, then decide which hour is worth a full listen.
Laxis 2026: 21.7 meetings a week, about 30% of the work week. A 0.8-second interrupt is useful on the call. Next Tuesday you still need the sentence that was decided. File the recording; search the transcript.
Paste the URL. Get chapters before you press play, jump to a timestamp, export Markdown. GPT-Live-1 does not have to be in the loop. The notes workflow already runs on files you own.
The notes workflow is the product. The blog owns the long method. This page owns the event.
Triage a long episode into chapters before you spend the commute hour.
Turn a finished recording into a searchable recap, not a live agent.
The previous-generation voice API this release is measured against.
The 2026-09-12 method piece this landing sits next to — 10 workflow tips, not an SDK tour.
Launch claims come from OpenAI's announcement and independent coverage. Last updated 2026-09-15. Not an integration claim.
On 2026-09-10 OpenAI put GPT-Live-1 in the API: full-duplex voice, 0.798s turn-taking vs 1.41s for GPT-Realtime-2.1, $0.05 per minute for the front-end voice layer, 12 real-time voices. Backend models and tools billed separately.
OpenAI — Introducing GPT-Live-1 in the API (2026-09-10) ↗Developer community recap: Tau3 83.6% vs 45.7% when paired with GPT-6 Astra at medium reasoning; Full Duplex Bench v1.5 interactivity 80.1%; 87% tool-calling success on a separate Full Duplex Bench v3 eval. OpenAI's numbers, restated.
OpenAI Developer Community — Introducing GPT-Live-1 in the API (2026-09-10) ↗US podcast listeners average 8 hours 24 minutes a week and follow 6.8 shows. The leftover catalog needs a triage desk, not another live voice.
Edison Research — The Infinite Dial 2026 (as of 2026-03) ↗Knowledge workers attend 21.7 meetings a week, about 30% of the work week (Laxis State of Meetings 2026, as of 2026-01).
Laxis — State of Meetings 2026 ↗GPT-Live-1 is OpenAI's full-duplex voice API, released to developers on 2026-09-10. Full duplex means the model listens and speaks at the same time, like a phone call rather than a walkie-talkie. It handles the live turn. It does not file a searchable recap of the call.
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Paste a podcast, lecture, or meeting recording into BibiGPT. You get chapters, a searchable transcript, and follow-up Q&A. GPT-Live-1 handles the interruption. The notes still need a timestamp.
