Whisper Large v3

Approved Data Classifications

Description

Whisper Large v3 is OpenAI's speech recognition and translation model. It uses 128 Mel frequency bins, adds a Cantonese language token, and improves over Whisper Large v2 across multiple languages.

Capabilities

Model	Knowledge Cutoff	Input	Output	Context Length	Cost (per minute of audio)
whisper-large-v3	Oct 2023	Audio	Text	n/a	$0.006/minute

info

• Pricing is based on one minute of audio
• All prices listed are based on 1 minute of audio

Availability

Cloud Provider

Usage

curl

curl https://api.ai.it.ufl.edu/v1/audio/transcriptions \
-H "Authorization: Bearer <API_TOKEN>" \
-H "Content-Type: multipart/form-data" \
-F file="@/path/to/file/audio.mp3" \
-F model="whisper-large-v3"

python

from openai import OpenAI
  client = OpenAI(
      api_key="your_api_key",
      base_url="https://api.ai.it.ufl.edu/v1"
  )

  audio_file= open("/path/to/file/audio.mp3", "rb")
    transcription = client.audio.transcriptions.create(
      model="whisper-large-v3", 
      file=audio_file
  )
  print(transcription.text)

javascript

import OpenAI from 'openai';

const openai = new OpenAI({
  apiKey: 'your_api_key',
  baseURL: 'https://api.ai.it.ufl.edu/v1'
});

async function main() {
  const transcription = await openai.audio.transcriptions.create({
    file: fs.createReadStream("/path/to/file/audio.mp3"),
    model: "whisper-large-v3",
  });

  console.log(transcription.text);
}
main();

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References

1. OpenAI
   https://openai.com/
2. LLM Stats
   https://llm-stats.com
3. Artificial Analysis
   https://artificialanalysis.ai