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OpenAIReleased November 6, 2023

Whisper V3

Open Source1.55B parameters

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

Yes

Best For

Speech-to-texttranscriptiontranslation

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.

Built byOpenAI

Pricing per 1M tokens

Input Tokens

Free

Output Tokens

Free

Frequently Asked Questions

What is 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.
How much does Whisper V3 cost?
Input pricing for Whisper V3 is Free per million tokens; output runs Free. No cost at all.
What is Whisper V3's context window?
The context window for Whisper V3 is N/A (audio) tokens. That's the maximum amount of text you can feed into a single prompt, including system instructions, conversation history, and the actual query.
Is Whisper V3 open source?
Whisper V3 is fully open source. You can grab the weights, run it on your own hardware, and fine-tune it for specific tasks. That flexibility is a big deal for teams with strict data requirements.
What is Whisper V3 best for?
The sweet spot for Whisper V3 is: Speech-to-text, transcription, translation. If your workload fits one of these categories, it's worth benchmarking against alternatives.