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OpenAI: Whisper Large V3

OpenAI: Whisper Large V3 is a premium model with non-token support, suited to audio workflows for enterprise teams.

Try OpenAI: Whisper Large V3 with your team

Last reviewed: 2026-05-07

Context Window
N/A
Input / 1M
$166500.00
Output / 1M
$0.00

What can you do with OpenAI: Whisper Large V3?

Practical ways teams can use OpenAI: Whisper Large V3 inside governed AI workflows.

01

Transcribe meetings with OpenAI: Whisper Large V3

Convert calls, interviews, and recordings into searchable text for governed team workflows with OpenAI: Whisper Large V3.

02

Create call summaries with OpenAI: Whisper Large V3

Turn transcripts into action items, decisions, risks, and customer follow-up drafts with OpenAI: Whisper Large V3.

03

Analyze support calls with OpenAI: Whisper Large V3

Extract topics, sentiment, escalation signals, and coaching opportunities from recordings with OpenAI: Whisper Large V3.

04

Generate captions with OpenAI: Whisper Large V3

Create accessibility captions and transcript assets for videos, demos, and training content with OpenAI: Whisper Large V3.

05

Search audio archives with OpenAI: Whisper Large V3

Make recorded content easier to classify, find, summarize, and route to the right team with OpenAI: Whisper Large V3.

06

Govern transcript access with OpenAI: Whisper Large V3

Apply redaction, retention controls, and audit trails to sensitive spoken content with OpenAI: Whisper Large V3.

Why this model

OpenAI: Whisper Large V3 is available in Remova as a non-token option with $166500.00 per 1M tokens input pricing, $0.00 per 1M tokens output pricing, and audio->transcription modality support for enterprise AI operations.

  • OpenAI: Whisper Large V3 offers non-token capacity for enterprise prompts and documents.
  • Current Remova pricing band is premium: $166500.00 per 1M tokens input and $0.00 per 1M tokens output.
  • Best-fit workloads include: Audio workflows.
  • Keep role-based access in place before broad rollout.

At a glance

Model ID
openai/whisper-large-v3
Context Window
N/A
Modality
audio->transcription
Input Modalities
audio
Output Modalities
transcription
Input Price
$166500.00 per 1M tokens
Output Price
$0.00 per 1M tokens
Provider
OpenAI
Listing Date
2026-05-01

Strengths

  • OpenAI: Whisper Large V3 is suited for audio workflows.
  • Supports audio->transcription workflows for governed media and automation use cases.
  • Pricing profile is premium, enabling predictable workload routing decisions.
  • Can be paired with policy guardrails for safer deployment at scale.

Tradeoffs

  • Prompt standards are still needed to keep output quality consistent across teams.
  • Policy exceptions should be monitored and reviewed on a fixed cadence.
  • Premium tiers should be restricted to high-value workflows to avoid unnecessary spend concentration.
  • Text-only modality can limit workflows that rely on image, audio, or document interpretation.

Best for

  • OpenAI: Whisper Large V3 for internal productivity assistants and knowledge workflows.
  • OpenAI: Whisper Large V3 for governed enterprise assistant workflows across teams.
  • OpenAI: Whisper Large V3 for governed enterprise assistant workflows across teams.
  • OpenAI: Whisper Large V3 for governed enterprise assistant workflows across teams.

Rollout checklist

  • Define where OpenAI: Whisper Large V3 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.
  • Start with one workflow, then expand after you verify quality and spend.
  • Re-run quality and cost benchmarks monthly as newer releases appear.

Related models

Explore adjacent model profiles for routing and benchmarking decisions.

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Tuning notes

max_tokens

Set completion limits to avoid unpredictable long-output spend.

response_format

Prefer structured output where responses feed internal systems.

seed

Use this parameter only with tested defaults in production workflows.

stop

Use stop sequences to keep output boundaries consistent across automations.

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

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Knowledge Hub

OpenAI: Whisper Large V3 FAQs

Choose OpenAI: Whisper Large V3 when the workload aligns with audio workflows 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 OpenAI: Whisper Large V3 with your team