Avoma vs Qdrant Pricing (2026)
How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.
| Avoma pricing | Qdrant pricing | |
|---|---|---|
| Starts at | $19/mo | Custom |
| Number of plans | 4 | 5 |
| Free plan | — | |
| Free trial | — | |
| Pricing model | per-seat | usage-based |
Price is one row. To weigh the features too, use our feature comparison template →
Startup
- Unlimited AI Meeting Assistant
- Up to 25 Paid Seats
- Unlimited Free View-only Seats
- Unlimited 1:1 Scheduling
- Automatic Video Recording
- Unlimited Real-time Transcription
- Unlimited AI Summary Notes
- "Ask Avoma" for a Meeting
- AI Email Follow-ups
- Auto Save Notes to CRM Records
- Dialer Integration
Organization
PopularEnterprise
Conversation Intelligence
- AI Coaching Recommendations
- AI Call Scoring
- Smart Trackers
- Global "Ask Avoma"
Free Tier
- Single Node Cluster
- 0.5 vCPU / 1GB RAM/ 4 GB Disk.
- Free Cloud Inference With Selected Models
Standard Tier
- Dedicated Resources
- Flexible Vertical and Horizontal Scaling
- Highly Available Setups
- Backup & Disaster Recovery
- Free Tokens for Paid Inference Models
- 99.5% Uptime SLA
Premium Tier
- SSO
- Private VPC Links
- 99.9% Uptime SLA
- Extra Support
Hybrid Cloud
- Local Data Residency
- Regulated Workloads
- Easy Operations in Your Own Cloud
- Data Stays in Your Network
- Fully Managed Through Qdrant Cloud
- Production-Grade Uptime
Private Cloud
- Large Enterprises
- Sensitive Workloads
- Air-Gapped Setups
- Custom SLAs
- Full Isolation
Avoma vs Qdrant FAQ
- Which one is cheaper?
- One or both use custom pricing, so it depends on your specific needs.
- Can I use either one for free?
- Qdrant has a free plan. Avoma doesn't — though they do offer a free trial.
- How do they charge?
- Different approach here. Avoma uses per-seat pricing, while Qdrant goes with usage-based. That changes the math depending on your team size and usage.
- Which one is a better deal?
- Depends on what you need. Avoma: At $19-39/seat, Avoma undercuts heavyweight conversation intelligence platforms like Gong or Chorus by a wide margin, positioning itself as the budget-friendly alternative for revenue teams that want AI meeting insights without enterprise-level spend. They're clearly hunting SMB and mid-market deals where buyers are price-sensitive but still want Gong-like functionality. Qdrant: Qdrant sits in the middle-to-premium zone of the vector DB pack — pricier to evaluate than Pinecone's transparent self-serve tiers since everything's quote-based past free, but that opacity signals they're chasing enterprise deals over indie developers. They're clearly trying to win teams already committed to open-source Qdrant who need a managed or hybrid path without switching engines.
Still deciding? See the best Avoma alternatives or the best Qdrant alternatives, ranked with verified pricing.
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