GPT Realtime Whisper

transcription

GPT Realtime Whisper is OpenAI's streaming speech-to-text model for live audio.

Input
audio text
Output
text
Price
$0.017/min
Context
16K
Knowledge cutoff
2024-09

Price in context

Where the price sits among 9 comparable models

Per minute$0.017/min
$0.002 · Seed ASR GPT Realtime Whisper · $0.017

The bar shows how this model’s price compares with every other model of the same kind on Synthorai. The cheapest and the most expensive are named at each end. These are base rates; batch, region and cache-write discounts are on the pricing page.

Specs & limits

Tokens

Context window (vendor spec) 16,000
Max output (vendor spec) 2,000
Knowledge cutoff 2024-09

Audio

Languages OpenAI does not publish a model-specific language list on this model card; verify the target language with representative audio.
Audio limits
  • Live audio transcription with low-latency transcript deltas
  • billed per audio minute, not per text token
Streaming transcription Yes

Model

Modalities audio + text → text

per Model specification source ↗

Use GPT Realtime Whisper in 30 seconds

Used only inside an OpenAI Realtime session, as its input transcription model: open the session on a Realtime model and set session.audio.input.transcription.model to gpt-realtime-whisper. WS /v1/realtime

import asyncio, json, websockets

URL = "wss://synthorai.io/v1/realtime?model=gpt-realtime-2.1"
# Send ONLY the Authorization header - the beta protocol is retired.
HEADERS = {"Authorization": "Bearer sk-syn-..."}

async def main():
    async with websockets.connect(URL, additional_headers=HEADERS) as ws:
        # 1) name gpt-realtime-whisper as the session's input transcription model
        await ws.send(json.dumps({
            "type": "session.update",
            "session": {
                "type": "realtime",
                "audio": {"input": {"transcription": {"model": "gpt-realtime-whisper"}}},
            },
        }))
        # 2) send input audio (base64 PCM16) and commit it
        await ws.send(json.dumps({"type": "input_audio_buffer.append", "audio": pcm16_b64}))
        await ws.send(json.dumps({"type": "input_audio_buffer.commit"}))
        # 3) the transcript of what was said arrives as its own event
        async for raw in ws:
            ev = json.loads(raw)
            if ev["type"] == "conversation.item.input_audio_transcription.completed":
                print(ev["transcript"])
                break

asyncio.run(main())

About GPT Realtime Whisper

  • It emits low-latency transcript updates and is billed by audio duration, rather than text tokens.
  • The model card lists a 16,000-token context and a 2,000-token output ceiling, but does not publish a model-specific language list.
  • OpenAI's current transcription guide recommends newer models for new realtime integrations and retains this one for existing integrations where supported; test the target language and noisy audio before choosing it.

FAQ

Is the GPT Realtime Whisper API free to try?

Yes: new accounts get 10 trial calls and up to $1 in free credit, no card required. That's enough to try GPT Realtime Whisper against your real workload before adding a payment method.

What is GPT Realtime Whisper best at?

Streaming transcript updates from live audio; billed per audio minute; existing integrations; newer starting models available. See the About section for the full picture from the vendor's own release notes.

How much does GPT Realtime Whisper cost?

GPT Realtime Whisper costs $0.017 per minute of audio transcribed on Synthorai: pay-as-you-go, no platform markup, no subscription.

How do I use GPT Realtime Whisper?

GPT Realtime Whisper is not called on its own. It transcribes the caller's audio inside a Realtime session: connect to wss://synthorai.io/v1/realtime with a Realtime model, set session.audio.input.transcription.model to "gpt-realtime-whisper", and read each transcript from the conversation.item.input_audio_transcription.completed event. It bills $0.017 per minute of input audio, on top of the session's own rates.

How do I get access to GPT Realtime Whisper?

Use your Synthorai API key to open the Realtime session and name "gpt-realtime-whisper" as its input transcription model. GPT Realtime Whisper is built for Realtime sessions, not for the /v1/audio/transcriptions file API; to transcribe a file, pick one of the speech-to-text models. One API key covers every model on the gateway.

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Specifications and vendor benchmarks link to their sources. Gateway support describes the Synthorai implementation. Archived examples are individual gateway requests, not a guarantee of general model performance. Prices use the public feed or its build snapshot.

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