Whisper Large v3 is OpenAI’s state-of-the-art model for automatic speech recognition (ASR) and speech translation. Trained on over 5 million hours of labeled data, it demonstrates strong generalization across datasets and domains, excelling in zero-shot transcription and translation tasks.
Pricing
Pay-as-you-go rates for this model. More details can be found here.
Transcription (1 minute)
$0.0008
Capabilities
Input Modalities
Audio
Output Modalities
Text
Supported Parameters
Available parameters for API requests
Language
Usage Analytics
Token usage of this model on our platform
Throughput
Not enough throughput data
Time-To-First-Token (TTFT)
Not enough TTFT data
Code Example
Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.
Basic request example. Ensure API key permissions. For more details, see our documentation.
from openai import OpenAI
client = OpenAI(base_url="https://api.naga.ac/v1", api_key="YOUR_API_KEY")
with open("audio.mp3", "rb") as f:
transcription = client.audio.transcriptions.create(
model="whisper-large-v3",
file=f,
prompt=None,
language=None,
)
print(transcription.text)