Whisper Large API

Q: What is the Whisper Large model ID?

Use deepgram/whisper-large as the model parameter. Requests go to https://api.aimlapi.com/v1/stt/create with your AI/ML API key.

Try this model

Whisper: Multilingual speech recognition model, robust, versatile, open-source.

Modalities: AudioText
Model type: Speech to text
Released: Dec 30, 2025

Whisper Large overview

Whisper Large specs

Model ID: deepgram/whisper-large
Developer: Deepgram
Input: Audio
Output: Text
Endpoint: POST https://api.aimlapi.com/v1/stt/create

Whisper: Multilingual speech recognition model, robust, versatile, open-source.

Whisper Large API Pricing
- Pricing on request

Transcription
Convert calls, meetings, and media into accurate, searchable text.

Captioning and indexing
Generate subtitles and make audio archives searchable.

Use cases

Deepgram Whisper Large is documented for pre-recorded transcription, including through Deepgram’s Hosted API or on-prem deployments.

It is also suited to long audio files, with Deepgram’s docs stating that long audio files are supported up to a maximum of 20 minutes of processing time.

Deepgram’s materials describe it as supporting transcription features such as diarization, word-level timestamps, language detection, redaction, smart formatting, punctuation and numeral formatting, multichannel support, summarization, and topic detection.

Deepgram also presents Whisper Large as applicable to speech recognition across the list of supported languages in OpenAI’s Whisper model family.

How to use the Whisper Large API

View docs

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/stt/create' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "deepgram/whisper-large"
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "deepgram/whisper-large"
}

response = requests.post("https://api.aimlapi.com/v1/stt/create", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.aimlapi.com/v1/stt/create", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "deepgram/whisper-large"
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

The request returns a generation id. Poll GET https://api.aimlapi.com/v1/stt/create?generation_id=<id> until the status is completed.

Whisper Large FAQ

What is the Whisper Large model ID?

Use deepgram/whisper-large as the model parameter. Requests go to https://api.aimlapi.com/v1/stt/create with your AI/ML API key.

Start building with Whisper Large

Get API key