Whisper V3
Whisper V3 is OpenAI's entry in a crowded field.
Context
N/A (audio)
Input
Free
Key Specifications
Arena Rank
Not disclosed
Context Window
N/A (audio)
Input Price
per 1M tokens
Free
Output Price
per 1M tokens
Free
Parameters
1.55B
Open Source
Best For
About Whisper V3
Whisper V3, developed by OpenAI, is an open-source automatic speech recognition model with 1.55 billion parameters supporting over 100 languages. The model handles noisy audio, accented speech, and technical vocabulary with robust transcription accuracy. It supports both transcription and translation tasks, converting speech in one language to text in another. Whisper V3 has become the de facto standard for speech-to-text in the open-source community, powering transcription services, meeting note applications, and accessibility tools globally. Free and open-source, it runs efficiently on consumer hardware and can be deployed locally for privacy-sensitive applications. The model's multilingual capabilities make it particularly valuable for global applications requiring speech processing across diverse languages. Its combination of accuracy, language breadth, and zero-cost deployment has driven massive adoption across commercial and research applications.
Pricing per 1M tokens
Input Tokens
Free
Output Tokens
Free
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