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OpenAI Whisper API Pricing Calculator

Category: General Content Complexity: Intermediate Use Case: Cost Analysis, Service Comparison, Budget Planning


Overview

This prompt helps you calculate the TRUE total cost of using OpenAI Whisper API by revealing all hidden fees and pricing complexity beyond the advertised base rate. Calculate TRUE OpenAI Whisper costs including the self-hosted vs managed dilemma - API convenience vs GPU instance costs, infrastructure management overhead, storage fees, and DevOps time investment.

Perfect for:


The Prompt

Calculate my TRUE OpenAI Whisper API costs including all hidden fees:

**My Usage:**
- Monthly audio volume: [X hours, e.g., "50 hours"]
- Need speaker identification: [Yes/No]
- Primary use case: [Podcasts/Meetings/Interviews/Other]
- Average file length: [X minutes]
- Number of files per month: [X files]

**Please Calculate:**

1. **Base OpenAI Whisper API cost** (include all tier/model options)
2. **Add-on feature costs** (speaker ID, sentiment, etc.)
3. **Infrastructure/setup costs** (if applicable)
4. **Hidden fees** (minimums, regional pricing, etc.)
5. **Total monthly cost** (all fees included)

**Then Compare:**
- **OpenAI Whisper API TOTAL** (all fees included)
- **BrassTranscripts cost** ($2.50 for 1-15 min, $6.00 flat rate for 16-120 min)

Show me:
- Which service is cheaper for MY specific usage
- Break-even point if volume changes
- Hidden costs I might not know about
- When BrassTranscripts' all-inclusive pricing becomes better value

Be specific with dollar amounts and show the math.

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Prompt by BrassTranscripts (brasstranscripts.com) – Professional AI transcription with professional-grade accuracy.
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Input Variables

Monthly audio volume (required):

Need speaker identification (required):

Primary use case (required):

Average file length (required):

Number of files per month (required):


Expected Output

The AI will provide:

  1. OpenAI Whisper API pricing breakdown with specific dollar amounts
  2. Feature/add-on cost estimates
  3. Infrastructure cost calculations (if applicable)
  4. Hidden fee analysis specific to OpenAI Whisper API
  5. Total cost (sum of all fees)
  6. BrassTranscripts cost (simple per-minute calculation)
  7. Side-by-side comparison showing which is cheaper
  8. Break-even analysis for different volume scenarios
  9. Switching recommendation with specific reasoning

Tips for Best Results

Be specific about volume ranges: “50-80 hours” is better than “moderate usage” ✅ State speaker ID needs explicitly: This is often the biggest hidden cost ✅ Include actual file counts: Helps calculate per-request minimums ✅ Mention growth plans: Helps calculate future break-even points

Don’t use vague estimates: “Some audio” doesn’t help cost calculation ❌ Don’t assume base pricing only: Hidden fees often exceed base cost


When to Use This Prompt

Perfect For:


Compatible AI Models

This prompt works with any general-purpose AI assistant:


Source

Blog Post: OpenAI Whisper API Pricing Guide

GitHub Repository: BrassTranscripts AI Prompts


License

MIT License - Free to use, modify, and distribute with attribution.


Created by: BrassTranscripts Team Last Updated: October 2025 Version: 1.0