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For developers requiring audio support, SambaNova provides OpenAI’s Whisper large-v3 model, which enables real-time transcriptions and translations.

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Whisper-Large-v3

  • Model: Whisper-Large-v3
  • Description: State-of-the-art automatic speech recognition (ASR) and translation model. Developed by OpenAI and trained on 5M+ hours of labeled audio. Excels in multilingual and zero-shot speech tasks across diverse domains.
  • Model ID: Whisper-Large-v3
  • Supported languages: Multilingual

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Core capabilities

  • Transcribes and translates extended audio inputs (up to 25 MB).
  • Demonstrates high accuracy in speech recognition and translation tasks.
  • Provides OpenAI-compatible endpoints for transcriptions and translations.

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Request parameters

ParameterTypeDescriptionDefaultEndpoints
modelStringThe ID of the model to use.Requiredtranscriptions, translations
fileFileAudio file in FLAC, MP3, MP4, MPEG, MPGA, M4A, Ogg, WAV, or WebM format. File size limit: 25MB.Requiredtranscriptions, translations
promptStringPrompt to influence transcription style or vocabulary. Example: “Please transcribe carefully, including pauses and hesitations.”Optionaltranscriptions, translations
response_formatStringOutput format: either json or text.jsontranscriptions, translations
languageStringThe language of the input audio. Using ISO-639-1 format (e.g., en) improves accuracy and latency.Optionaltranscriptions, translations
streamBooleanEnables streaming responses.falsetranscriptions, translations
stream_optionsObjectAdditional streaming configuration (e.g., {"include_usage": true}).Optionaltranscriptions, translations