Whisper

Audio

Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification.

What it's best for

Best for transcription: calls, meetings, voice notes and recorded media, priced per minute of audio. Pair the transcript with a chat model for summaries, action points or search.

Pricing

Prices updated daily — last generated 2026-07-08.

Billing is metered per request in GBP on the same monthly invoice as your apps — no subscription, no minimum. We list every model once, at the cheapest route we can serve it on; if we have to fail over to a more expensive route, we absorb the difference and your price does not change.

Where your data is processed

Requests to Whisper are routed to a vetted partner provider and processed on that provider's infrastructure — they leave our infrastructure, and the UK-residency guarantee that applies to our UK-hosted models does not apply here. We hold the provider credentials server-side and route on cost and availability. If you need prompts that never leave our own infrastructure, use one of our UK-hosted models.

Call it in two minutes

The gateway is OpenAI-compatible: point your SDK or HTTP client at api.node.uk and use the model id whisper. Credentials come from your portal, with £15 of free credit on signup.

curl https://api.node.uk/api/v1/models/whisper/v1/audio/transcriptions \
  -H "Authorization: Bearer $NODE_GATEWAY_TOKEN" \
  -F model="whisper" \
  -F file=@meeting.mp3

from openai import OpenAI

client = OpenAI(
    base_url="https://api.node.uk/api/v1/models/whisper/v1",
    api_key=NODE_GATEWAY_TOKEN,
)

transcript = client.audio.transcriptions.create(
    model="whisper",
    file=open("meeting.mp3", "rb"),
)

Related models

Browse the full model catalogue, read which model for which task, or see how the AI Gateway works.