Pinecone pricing embeddings

Pinecone pricing for embeddings depends on two separate costs:

1. Embedding generation cost

   • If you create embeddings using an external model provider (OpenAI, Cohere, Voyage, etc.), you pay that provider for the embedding API.
   • If you use Pinecone-hosted embedding models or inference features, Pinecone may charge separately for that usage.

2. Vector database cost in Pinecone
   Pinecone charges for storing and querying the vectors, typically based on:

   • Index type / deployment: serverless vs pod-based
   • Storage / vector count
   • Reads / writes / query volume
   • Dimensionality and metadata size can affect storage usage

In practice

If by “Pinecone pricing embeddings” you mean:

• Using embeddings with Pinecone: you pay for the embedding model + Pinecone storage/query usage.
• Storing precomputed embeddings: you only pay Pinecone for the vector DB usage.
• Generating embeddings inside Pinecone: check Pinecone’s current inference/hosted model pricing separately.

Best way to get the exact price

Pinecone pricing changes, so the most accurate source is their official pricing page:

• https://www.pinecone.io/pricing/

If you want, I can also help estimate the monthly cost for your specific setup if you tell me:

• number of vectors
• embedding dimension
• expected queries per month
• whether you use serverless or pods
• which embedding provider/model you plan to use