Cohere 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.
| Cohere pricing | Qdrant pricing | |
|---|---|---|
| Starts at | Custom | Custom |
| Number of plans | 3 | 5 |
| Free plan | — | |
| Free trial | — | |
| Pricing model | custom | usage-based |
Price is one row. To weigh the features too, use our feature comparison template →
North
- Intuitive interface
- Purpose-built generative models
- Intelligent search
- AI agents for routine tasks and complex workflows
Compass
- Pre-built data connectors
- Intelligent search
- Document parsing
- Managed index
Model Vault
- Fully managed model deployment
- No shared resources or multi-tenancy overhead
- Seamless integration with Cohere North
- Simple startup and self-serve model access
- Fixed or Flex pricing plans available
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
Cohere 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. Cohere doesn't — though they do offer a free trial.
- How do they charge?
- Different approach here. Cohere uses custom 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. Cohere: Cohere is squarely targeting enterprise and developer teams that can't or won't send data to OpenAI or Anthropic — data residency, security, and deployment flexibility are the pitch. They're not the cheapest option, but they're positioning as the serious infrastructure play for regulated industries and large orgs that need control. 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 Cohere alternatives or the best Qdrant alternatives, ranked with verified pricing.
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