Usage-Based Pricing for Standard Plan
When you create a Pinecone Index, you choose the pod type, number of pods, and number of replicas. You will be billed hourly with monthly invoices.
| Pod | Description | Cost |
|---|---|---|
| p1 | Optimized for lower latency. Used by standard RAM-based index. | $0.070/hr |
| s1 | Optimized for storage capacity, resulting in lower overall cost. Used by hybrid index. | $0.075/hr |
More pods increase the number of vectors the index can hold. The fewer the vectors per pod, the lower the latency.
More replicas increase throughput capacity (QPS) linearly. Throughput is related to latency — lower latency provides greater throughput per replica.
Choose the pod types, number of pods, and number of replicas to meet your cost and performance requirements. You can achieve low latencies and high throughput with any number of vectors.
The approximate limit 1M vectors per p1 pod is assuming 512-dimension vectors and 1kB metadata per vector. Actual storage capacity and performance may vary due to factors such as metadata size, vector dimensionality, index settings, query patterns, and connection latency.
Contact us about dedicated environments to meet your compliance and performance requirements.
Security
Pinecone takes security seriously for all users. Read about our security practices.