Pinecone pricing

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1

Hello,

I am in the process of integrating Pinecone into my chatbot application, which uses GPT embeddings with 3072 dimensions. I have reviewed the “Understanding Cost” page on your documentation, but I am unclear on the pricing details for:

  • Storing vectors with 3072 dimensions
  • Read and write costs associated with this dimensionality

Could you please provide specific guidance or a pricing breakdown for handling vectors of this size? Additionally, any insights into how read and write operations are charged would be helpful.

Thank you in advance for your assistance!

2

Thanks for reaching out!
Both storage, read and write costs are linear by the record size. Therefore, a decent approximation for 3072-dim costs would be 2x the values of the 1536-dim vectors. So, for example:

  • Upserting a single 3072-dim vector with 1000 bytes of metadata would use 14 WUs
  • Querying a 1M-records namespace with 1000 bytes of metadata would use 36 RUs
  • Storing 10M records at 3072 would use ~132 GB

Does that answer your question? If not, feel free to provide more information about your specific case.