Whisper 1

whisper-1

Whisper (whisper-1) is OpenAI's open-source automatic speech recognition (ASR) model, designed for audio transcription and translation. It supports 50+ languages and processes audio files up to 25 MB, accepting formats such as mp3, mp4, wav, and webm. Optimized for reliable speech-to-text conversion across diverse audio inputs, Whisper is priced per minute of audio, billed to the nearest second, making it well suited for transcription, localization, and voice-driven applications.

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Endpoint

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Pricing

Input$75.00 / 1M

Output$75.00 / 1M

Cache Write (5m)Not applicable

Cache Write (1h)Not applicable

Cache ReadNot applicable

Web Search$0 / 1M

Quick Start

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Endpoint

python

from openai import OpenAI client = OpenAI(    api_key="YOUR_API_KEY",    base_url="https://api.apertis.ai/v1") response = client.chat.completions.create(    model="whisper-1",    messages=[        {"role": "user", "content": "Hello!"}    ],    max_tokens=1024,    temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(#     model="whisper-1",#     messages=[{"role": "user", "content": "Hello!"}],#     extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )

Supported Parameters

API docs

Common5 params

modelfilelanguagepromptresponse_format

Extended2 params

temperaturetimestamp_granularities

Cursor IDE Model IDs

Use these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.

whisper-1

Compare with Other Models

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Context: 1M
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Context: N/A
Input: — (Not priced per input token)
Output: — (Not priced per output token)

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Context: 1.1M
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