Start free, scale effortlessly

Pinecone runs on fully managed infrastructure that scales with you.

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Starter FREE

For trying out and for small applications.

Serverless

Up to 2GB storage

Enough for 300k 1,536-dim vectors

Up to 2M Write Units per month

Up to 1M Read Units per month

1 Project

Up to 5 indexes

Up to 100 namespaces per index

Support

Community Support

Pinecone Inference Docs PUBLIC PREVIEW

Up to 5M tokens/mo.

Standard

For production applications at any scale.

Features

Multiple projects and users

Choose your region

Serverless Indexes

Unlimited storage

$0.00045 per GB/Hour.

Unlimited writes

Starting at $2.00 per 1M Write Units

Unlimited reads

Starting at $8.25 per 1M Read Units

Up to 20 projects

Up to 20 indexes per project

Up to 10,000 namespaces per index

Pod-Based Indexes

Unlimited Pods

Starting at $0.096/hr

Standard Support

Access to Pinecone Support

Response time SLA

Pinecone Inference Docs PUBLIC PREVIEW

$0.08/M tokens Usage of the Inference API is free until July 1, 2024.

Enterprise

For mission-critical production applications.

Features

Everything in Standard

Single sign-on

Prometheus metrics

Private Link PUBLIC PREVIEW

Serverless Indexes

Unlimited storage

$0.33 per GB/Month

Unlimited writes

Starting at $4.00 per 1M Write Units

Unlimited reads

Starting at $16.50 per 1M Read Units

Up to 100 projects

Up to 20 indexes per project

Up to 100,000 namespaces per index

Pod-Based Indexes

Unlimited Pods

Starting at $0.144/hr

Premium Support

24/7/365 access to Pinecone Support

Response time SLA

Uptime SLA

Pinecone Inference Docs PUBLIC PREVIEW

$0.08/M tokens Usage of the Inference API is free until July 1, 2024.

Start for free, upgrade any time.

Also available through AWS Marketplace, GCP Marketplace, and Azure Marketplace

Get Started

Enterprise Dedicated: Everything in Enterprise, deployed in a single-tenant VPC environment in the region of your choice. Contact us for details and pricing.

10x

cost reduction

Pinecone serverless isn't just a cost-cutting move for us; it is a strategic shift towards a more efficient, scalable, and resource-effective solution.

Jacob Eckel

VP, R&D Division Manager, Gong

Read Customer Story

FAQs

Usage information in API responses and in your dashboard will help you monitor and plan for costs. View documentation on how usage is calculated, then start testing with your own data and workloads. Contact us for help estimating costs for large or complex workloads.

Example 1: Multi-tenant RAG workload with 5M total documents across 100,000 users (namespaces)

	Inputs	Cost
Initial writes		$280, one-time
Storage	5M documents chunked into 10M vectors (1,536-dimension) with 200 bytes of metadata each	$21/month
Reads	1M total queries per month or 10 per user per month	$83/month
Writes	Initial upload of 10M vectors, then update 25% of all data each month	$70/month
Total cost		$174/month, $280 one-time

Example 2: Semantic search for enterprise knowledgebase with 10M vectors:

	Inputs	Cost
Initial writes		$280, one-time
Storage	10M vectors (1,536-dimension) with 200 bytes metadata each	$21/month
Reads	2.5M queries answered each month or 1 QPS	$2,310/month
Writes	50k items added each month	$1/month
Total cost		$2,332/month, $280 one-time

Example 3: Offline data labeling using similarity search over 1B vectors

	Inputs	Cost
Initial writes		$8,000, one-time
Storage	1B vectors (768-dimension) with 200 bytes metadata each	$1,085/month
Write Units (WUs)	50M items added each month	$400/month
Read Units (RUs)	50k similarity searches each month	$130/month
Total cost		$1615/month, $8,000 one-time