Remova Logo
Deployment Brief

Deepgram: Nova-3

Deepgram: Nova-3 is a usage-based model with non-token support, suited to transcription workflows and audio analysis for enterprise teams.

Try Deepgram: Nova-3 with your team

Last reviewed: 2026-08-01

Deepgram: Nova-3

Deepgram

Stable
Context Window
N/A
Audio Input
Usage-based
Transcription
Included

What can you do with Deepgram: Nova-3?

Practical ways teams can use Deepgram: Nova-3 inside governed AI workflows.

01

Transcribe meetings with Deepgram: Nova-3

Convert calls, interviews, and recordings into searchable text for governed team workflows with Deepgram: Nova-3.

02

Create call summaries with Deepgram: Nova-3

Turn transcripts into action items, decisions, risks, and customer follow-up drafts with Deepgram: Nova-3.

03

Analyze support calls with Deepgram: Nova-3

Extract topics, sentiment, escalation signals, and coaching opportunities from recordings with Deepgram: Nova-3.

04

Generate captions with Deepgram: Nova-3

Create accessibility captions and transcript assets for videos, demos, and training content with Deepgram: Nova-3.

05

Search audio archives with Deepgram: Nova-3

Make recorded content easier to classify, find, summarize, and route to the right team with Deepgram: Nova-3.

06

Govern transcript access with Deepgram: Nova-3

Apply redaction, retention controls, and audit trails to sensitive spoken content with Deepgram: Nova-3.

Why this model

Deepgram: Nova-3 is available in Remova as a non-token option with Usage-based input pricing, Included in transcription output pricing, and audio->transcription modality support for enterprise AI operations.

  • Deepgram: Nova-3 offers non-token capacity for enterprise prompts and documents.
  • Current Remova pricing band is usage-based: Usage-based input and Included in transcription output.
  • Best-fit workloads include: Transcription workflows, Audio analysis, Transcript governance.
  • Route requests by policy tier so teams do not overuse capability.

At a glance

Model ID
deepgram/nova-3
Context Window
N/A
Modality
audio->transcription
Input Modalities
audio
Output Modalities
transcription
Input Price
Usage-based
Output Price
Included in transcription
Provider
Deepgram
Listing Date
2026-07-15

Strengths

  • Deepgram: Nova-3 is suited for transcription workflows.
  • Supports audio->transcription workflows for governed media and automation use cases.
  • Pricing profile is usage-based, enabling predictable workload routing decisions.
  • Can be paired with policy guardrails for safer deployment at scale.

Tradeoffs

  • Operational drift can appear over time without recurring quality evaluations.
  • Prompt standards are still needed to keep output quality consistent across teams.
  • Usage-based media models need per-workflow cost estimates before broad rollout.
  • Speech-to-text workflows need retention, redaction, and access policies for transcript data.

Best for

  • Deepgram: Nova-3 for governed speech-to-text pipelines across meetings, calls, and recordings.
  • Deepgram: Nova-3 for analyzing spoken-content topics, sentiment, and escalation signals from recordings.
  • Deepgram: Nova-3 for searchable transcript assets with retention and access controls.
  • Deepgram: Nova-3 for quality review and routing of regulated spoken-content records.

Rollout checklist

  • Define where Deepgram: Nova-3 is default vs. fallback in your routing policy.
  • Enable role-based access and policy checks before opening access broadly.
  • Set spend guardrails by team and monitor weekly token consumption.
  • Define escalation rules to premium models before launch.
  • Re-run quality and cost benchmarks monthly as newer releases appear.

Related models

Explore adjacent model profiles for routing and benchmarking decisions.

Free Resource

Where Should Your Team Start with AI?

Tell us your industry and team size. We'll tell you which AI use cases will save the most time with the least setup.

You get

A shortlist of AI use cases ranked by impact and effort for your situation.

Tuning notes

audio_quality

Check recording quality, language coverage, and speaker separation before routing transcripts into downstream workflows.

redaction

Apply transcript redaction and retention rules before sharing meeting, call, or support-call output.

timestamps

Keep timestamps or source references when transcripts need audit review or follow-up evidence.

review_queue

Route regulated or customer-facing transcript summaries into human review before publication or action.

Free Assessment

What Could Go Wrong?

5 questions about how your company uses AI today. We'll show you the risks most companies miss until it's too late.

You get

A risk breakdown with the 3 things you should fix first.

Book demo
Knowledge Hub

Deepgram: Nova-3 FAQs

Choose Deepgram: Nova-3 when the workload aligns with transcription workflows, audio analysis, transcript governance and quality targets justify its pricing profile.
It depends on workload mix. Most organizations use routing policies so routine traffic stays on lower-cost tiers.
Validate quality on real internal prompts, token efficiency, latency, and policy compliance behavior.

Deploy This Model With Governance

Use policy controls, role-based access, and budget guardrails before enabling advanced model tiers at scale.

Try Deepgram: Nova-3 with your team