Context
N/A (audio)
Input
Free (open)
Key Specifications
🏆
Arena Rank
Not disclosed
📐
Context Window
N/A (audio)
📥
Input Price
per 1M tokens
Free (open)
📤
Output Price
per 1M tokens
Free (open)
🧠
Parameters
1.5B
🔓
Open Source
Yes
Best For
Speech recognitiontranscriptiontranslation
About Whisper Large v3
Whisper Large v3 is OpenAI's most capable automatic speech recognition model, supporting transcription and translation across 100+ languages. At 1.5 billion parameters, it delivers near-human accuracy on many languages and handles noisy, accented, and multilingual audio with remarkable robustness. It has become the de facto standard for open-source speech recognition.
Built byOpenAI↗
Pricing per 1M tokens
Input Tokens
Free (open)
Output Tokens
Free (open)
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Frequently Asked Questions
What is Whisper Large v3?▾
Whisper Large v3 is OpenAI's most capable automatic speech recognition model, supporting transcription and translation across 100+ languages. At 1.5 billion parameters, it delivers near-human accuracy on many languages and handles noisy, accented, and multilingual audio with remarkable robustness. It has become the de facto standard for open-source speech recognition.
How much does Whisper Large v3 cost?▾
Whisper Large v3 costs Free (open) per 1 million input tokens and Free (open) per 1 million output tokens. Pricing is based on token usage, making it cost-effective for both small and large-scale applications.
What is Whisper Large v3's context window?▾
Whisper Large v3 has a context window of N/A (audio) tokens. This determines how much text the model can process in a single request — larger context windows allow the model to handle longer documents, maintain more conversation history, and reason over bigger codebases.
Is Whisper Large v3 open source?▾
Yes, Whisper Large v3 is open source. This means the model weights are publicly available, allowing developers and organizations to download, fine-tune, and self-host the model on their own infrastructure. Open-source models offer greater flexibility and data privacy control.
What is Whisper Large v3 best for?▾
Whisper Large v3 is best suited for: Speech recognition, transcription, translation. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within OpenAI's model lineup.