OpenAI · mit

Whisper Large v3 Turbo

Available

Whisper Large v3 Turbo is the speed-optimized speech-to-text model of the OpenAI Whisper family. It transcribes 99+ languages and is used through the OpenAI Audio API-compatible /v1/audio/transcriptions endpoint.

SPEECH-TO-TEXT MULTILINGUAL TRANSCRIPTION
Input price
$1.49 / 1M tokens
Output price
$2.49 / 1M tokens

Quickstart

OpenAI-compatible API. Point base_url at the gateway and pass the Model ID in the model field.

Create API key
from openai import OpenAI

client = OpenAI(base_url="https://llm.fixcloud.ai/v1", api_key="FXC_API_KEY")

with open("meeting.mp3", "rb") as audio:
    transcript = client.audio.transcriptions.create(
        model="whisper-large-v3-turbo",
        file=audio,
    )
print(transcript.text)

Capabilities

The features this model offers through the API.

  • Audio inputAccepts audio input.

Pricing

Prices are per 1 million tokens. Once the monthly token quota of your plan is used up, usage is billed at these prices.

Input price
$1.49/ 1M tokens
Output price
$2.49/ 1M tokens
Cost estimator
Per request
—
Per day
—
Per month (30 days)
—

Enter your expected usage; actual billing follows the token counts measured by the gateway.

View plans

Specifications

Transparency details about the infrastructure serving this model.

Family
whisper
Publisher
OpenAI
License
mit
Model ID
whisper-large-v3-turbo
Quantization
None (native)
GPUs per replica
1 × GPU

Up to 25 MB of audio per file (about 25 minutes of mp3).