Context
—
Max output
—
Input / 1M
—
Output / 1M
—
Modality
Chat
Cutoff
—
Supported parameters
detect_entitiesEnables detection of named entities such as people, places, and organizations.
detect_languageAutomatically identifies the language of the input or generated text.
diarizeSpeaker DiarizationSeparates and labels different speakers in audio transcription tasks.
filler_wordsControls whether filler words like um and uh are preserved or removed.
languageSets the language to use for processing, transcription, or generation.
numeralsControls formatting behavior for numbers in generated or transcribed text.
paragraphsControls whether output is organized and split into paragraph blocks.
punctuateAdds or normalizes punctuation in generated or transcribed text.
smart_formatApplies automatic formatting improvements for cleaner final output.
typeIndicates the configuration category or payload type.
utterancesStores 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
| Model | Context | Max output | Input | Output | Capabilities |
|---|---|---|---|---|---|
| flux-general-multi Chat | — | — | — | — | — |
| flux-general-en Chat | — | — | — | — | — |
| nova-2 Chat | — | — | — | — | — |
| nova-3 Chat | — | — | — | — | — |
Pricing & provider details
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.