Whisper Large v3 Turbo
Whisper Large v3 Turbo is an open-source speech-to-text model from OpenAI released in October 2024.
OpenAI
DeepInfraFast open-source speech transcription from OpenAI
Whisper Large v3 Turbo is a speech-to-text model developed by OpenAI and released in October 2024. It is a distilled, faster variant of the Whisper Large v3 model, designed to reduce inference time while retaining strong transcription accuracy across a wide range of languages. The model is open source and served through DeepInfra, making it accessible without requiring direct API access to OpenAI's infrastructure.
Whisper Large v3 Turbo is well suited for applications that require audio transcription at scale, including meeting notes, podcast indexing, subtitle generation, and voice-driven workflows. Its reduced decoder size compared to the full Large v3 model results in faster processing, which makes it practical for latency-sensitive use cases. Because it is open source, developers can also self-host or fine-tune the model for domain-specific transcription tasks.
What Whisper Large v3 Turbo supports
Speech Transcription
Converts spoken audio into written text, supporting transcription across dozens of languages using a Transformer-based encoder-decoder architecture.
Multilingual Support
Handles transcription in multiple languages, as the Whisper family was trained on a large multilingual audio dataset covering 99 languages.
Fast Inference
Delivers reduced latency compared to the full Whisper Large v3 model by using a smaller decoder with fewer layers.
Open Source
Released under an open-source license, allowing developers to inspect weights, self-host, or fine-tune the model for specific transcription domains.
Low Cost Operation
Tagged as a low-cost model, making it suitable for high-volume transcription workloads where per-request cost is a consideration.
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Get Started FreeCommon questions about Whisper Large v3 Turbo
What type of model is Whisper Large v3 Turbo?
Whisper Large v3 Turbo is a speech-to-text (transcription) model. It takes audio input and returns a text transcript.
Who developed Whisper Large v3 Turbo?
It was developed by OpenAI and released in October 2024. On MindStudio it is served via DeepInfra.
Is Whisper Large v3 Turbo open source?
Yes. The model is tagged as open source, meaning the weights are publicly available and can be self-hosted or fine-tuned.
Does this model have a context window limit?
No context window size is specified in the metadata for this model. Whisper models typically process audio in 30-second chunks internally, but longer audio is handled by chunking at the inference level.
How does Whisper Large v3 Turbo differ from Whisper Large v3?
Whisper Large v3 Turbo is a distilled variant with a smaller decoder, which reduces inference time. It is designed to be faster and more cost-efficient while retaining much of the transcription accuracy of the full Large v3 model.
What languages does this model support?
The Whisper Large family was trained on multilingual audio data covering approximately 99 languages, so Whisper Large v3 Turbo supports transcription across a broad range of languages.
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