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    nova-3-medical

    deepgram/nova-3-medical

    Chat
    Use this model

    Context

    —

    Max output

    —

    Input / 1M

    —

    Output / 1M

    —

    Modality

    Chat

    Cutoff

    —

    Supported parameters

    detect_entities

    Enables detection of named entities such as people, places, and organizations.

    detect_language

    Automatically identifies the language of the input or generated text.

    diarizeSpeaker Diarization

    Separates and labels different speakers in audio transcription tasks.

    filler_words

    Controls whether filler words like um and uh are preserved or removed.

    language

    Sets the language to use for processing, transcription, or generation.

    numerals

    Controls formatting behavior for numbers in generated or transcribed text.

    paragraphs

    Controls whether output is organized and split into paragraph blocks.

    punctuate

    Adds or normalizes punctuation in generated or transcribed text.

    smart_format

    Applies automatic formatting improvements for cleaner final output.

    type

    Indicates the configuration category or payload type.

    utterances

    Stores utterance-level data, often used for speech or dialogue processing.

    Use this model

    OpenAI-SDK compatible, with gateway fallback and routing across providers.

    Other Deepgram models

    ModelContextMax outputInputOutputCapabilities
    flux-general-multi

    Chat

    —————
    flux-general-en

    Chat

    —————
    nova-2

    Chat

    —————
    nova-3

    Chat

    —————

    Pricing & provider details

    Deepgram logo

    Deepgram

    deepgram/nova-3-medical

    Input · per 1M
    —
    Output · per 1M
    —
    Cached input · per 1M
    —
    Context window
    —
    Max output
    —
    Knowledge cutoff
    —
    Auto-router
    Not supported

    Start building today

    Route nova-3-medical — and every other model in the catalogue — through one endpoint, with failover built in.