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How much does it actually cost to run a vector database on AWS versus using managed Pinecone for a mid-sized machine learning project

ChatGPTgpt-61 query11/1/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
How much does it actually cost to run a vector database on AWS versus using managed Pinecone for a mid-sized machine learning project
1 real search · 1 real-search pass
2026 AWS OpenSearch Serverless vector search pricing OCU price Pinecone pricing serverless standard plan pricingGoogle ↗
OBSERVEDComparison

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

ChatGPT real searches (1)
Short factOther / navigationalComparison100%ConsequenceReasonDefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT1 real searches · gpt-6
2026 AWS OpenSearch Serverless vector search pricing OCU price Pinecone pricing serverless standard plan pricing Google ↗
  1. r6g.large pricing: $73.5840 monthly · economize.cloud
  2. EC2 On-Demand Instance Pricing · aws.amazon.com
  3. Pricing · pinecone.io
  4. Amazon OpenSearch Service · aws.amazon.com

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
2026 AWS OpenSearch Serverless vector search pricing OCU price Pinecone pricing serverless standard plan pricing
OBSERVED
Google ↗
AI Mode ↗
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