Whisper Large V3 Turbo
Whisper Large V3 Turbo is an automatic speech recognition and speech translation model developed by OpenAI. It is a finetuned and pruned version of Whisper Large V3, optimized for significantly faster inference by reducing the number of decoding layers from 32 to 4, with a minor trade-off in quality. The model was trained on over 5 million hours of labeled data and demonstrates strong zero-shot generalization across many datasets and domains.
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Estimated GPU Requirements for Whisper Large V3 Turbo
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 24, 2026
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