Whisper Large v3 API — pricing & examples

Models/Transcription/Whisper Large v3

Speech to text99 languagesTimestampsSRT / VTT

Modality

Audio → Text

Price

$0.002 / audio minute

Speed

0.047× real time

Model ID

openai/whisper-large-v3

Quickstart

You need an API key to call this model. Create a free account or log in.

Set INFERENCE_API_KEY to your key from the API Keys page, then run:

curl https://api.inferenceapis.com/v1/audio/transcriptions \
  -H "Authorization: Bearer $INFERENCE_API_KEY" \
  -F "model=openai/whisper-large-v3" \
  -F "file=@meeting.mp3" \
  -F "response_format=verbose_json"

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.inferenceapis.com/v1",
    api_key=os.environ["INFERENCE_API_KEY"],
)
with open("meeting.mp3", "rb") as f:
    result = client.audio.transcriptions.create(
        model="openai/whisper-large-v3",
        file=f,
        response_format="verbose_json",
    )
print(result.text)

import fs from "node:fs";
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.inferenceapis.com/v1",
  apiKey: process.env.INFERENCE_API_KEY,
});
const result = await client.audio.transcriptions.create({
  model: "openai/whisper-large-v3",
  file: fs.createReadStream("meeting.mp3"),
  response_format: "verbose_json",
});
console.log(result.text);

Endpoint

POST https://api.inferenceapis.com/v1/audio/transcriptions

Headers Authorization: Bearer $INFERENCE_API_KEY
Content-Type: multipart/form-data

Compatible OpenAI wire format. /openai/v1/… is accepted too, so Groq-style base URLs work with only the host changed.

Model IDs and aliases

Send any of these as model; they all resolve to this model.

ID	Note
`openai/whisper-large-v3`	Canonical
`whisper-large-v3`	Alias
`whisper-large-v3-turbo`	Same id as on Groq — switch by changing the base URL only
`whisper-1`	Same id as on OpenAI — switch by changing the base URL only
`whisper`	Alias

Request body

Parameter	Type	Description
`model` required	string	Model ID: `openai/whisper-large-v3` — also accepted: `whisper-large-v3`, `whisper-large-v3-turbo`, `whisper-1`, `whisper`
`file` required	file	The audio file (multipart/form-data): mp3, mp4, m4a, wav, webm, flac, ogg. Up to 100 MB.
`language`	string	ISO-639-1 language code, e.g. `en`. Improves accuracy and latency when known.
`prompt`	string	Optional text to guide style or spelling of names and terms.
`response_format`	string	`json` (default), `verbose_json`, `text`, `srt` or `vtt`.
`timestamp_granularities`	array	`["segment"]` and/or `["word"]` with `verbose_json`.
`temperature`	number	Sampling temperature between 0 and 1.

Response

200 OK · application/json

{
  "language": "en",
  "duration": 12.4,
  "text": "Thanks everyone for joining. Let's start with the roadmap.",
  "segments": [
    { "id": 0, "start": 0.0, "end": 3.1, "text": "Thanks everyone for joining." },
    { "id": 1, "start": 3.1, "end": 6.0, "text": "Let's start with the roadmap." }
  ]
}

Pricing

Price	$0.002 / audio minute
Billing	Pay as you go from prepaid credits. No subscription, no daily request or token cap. See all pricing.

Notes

Billing is per minute of audio (measured from the uploaded file). Files up to 100 MB are accepted.
Use response_format=verbose_json for language detection, duration and segments; srt and vtt return subtitle files.

Compare Whisper Large v3 with…

Parakeet TDT 0.6B v3 OpenAI Whisper (whisper-1)Whisper Large v3 Turbo on Groq Deepgram Nova-3 AssemblyAI Universal

Languages

Per-language codes, tips and quickstarts: speech-to-text languages.

Errors

Errors use the OpenAI envelope: {"error": {"message", "type", "code"}}. 401 missing or invalid key · 402 insufficient_balance · 404 model_not_found · 503 model_unavailable. See the error reference and provider error guides.