GranolaFreemium
An AI notepad that captures meeting notes from your computer audio without sending a bot into the call.
AI / LLM comparison
Granola vs OpenAI API
Pricing, pros, cons, and ideal use cases — side by side.
OpenAI APIPaid
The most capable AI models available via API — power your business automations with GPT-4.
At a glance
| Granola | OpenAI API | |
|---|---|---|
| Pricing | FreemiumFree tier includes unlimited meeting notes but retains them for only 30 days. Paid plans unlock full history and team features; specific tier prices are on the pricing page rather than the homepage. | PaidPay-as-you-go. GPT-4o roughly $5/1M input tokens. Very affordable for SMB usage volumes. |
| Category | AI / LLM | AI / LLM |
| Ideal for | Founders and executives in back-to-back meetingsConsultants and client-facing professionalsSales teams who do not want a bot in the roomAnyone taking notes in in-person or phone meetings | Any SMB wanting AI featuresLaw FirmsRecruitersAgencies |
Pros & cons
Granola
Pros
- No bot joins the call — works in-person and on phone calls too
- Merges your typed notes with the transcript for better summaries
- Works across Zoom, Meet, Teams, and anything else playing audio
- MCP connections to Claude, Cursor, and Figma
- Privacy-first: notes are private by default
Cons
- 30-day retention on the free tier is a hard limit, not a soft nudge
- Capturing system audio without announcing a bot has consent implications — disclose it
- Desktop-first; the workflow assumes you have the app running
- Fewer CRM-sync integrations than bot-based incumbents
OpenAI API
Pros
- Most capable models available
- Flexible API
- Good documentation
Cons
- Requires technical setup
- Costs can grow with volume
- Outputs need review
Which should you choose?
Granola is the lighter-weight option (Freemium), while OpenAI API sits higher on the pricing ladder (Paid). Granola is built around founders and executives in back-to-back meetings; OpenAI API leans more toward any smb wanting ai features. Shortlist the one whose strengths line up with your biggest constraint.