PE Collective
Pinecone Pricing: What It Actually Costs at Scale
Pinecone is the most popular managed vector database, but the pricing can be confusing. They've moved to a serverless model that's cheap for small workloads but can add up fast at scale. Here's what you'll actually pay.
Free (Starter)
- ✓ Up to 2GB storage
- ✓ 5 serverless indexes
- ✓ 100 namespaces per index
- ✓ Community support only
- ✓ Single cloud region
Standard
- ✓ Unlimited storage
- ✓ Unlimited indexes
- ✓ Unlimited namespaces
- ✓ Reads: $8.25/1M read units
- ✓ Writes: $2/1M write units
- ✓ Storage: $0.33/GB/month
- ✓ Email support
Enterprise
- ✓ Everything in Standard
- ✓ Dedicated infrastructure
- ✓ 99.99% SLA
- ✓ SSO and RBAC
- ✓ Multi-region replication
- ✓ Dedicated support engineer
- ✓ Custom data retention
Hidden Costs & Gotchas
- ⚠ Read units add up fast. A single query with metadata filtering can cost 5-10 read units, not 1. At 1M queries/day, you're looking at $250-500/month in reads alone.
- ⚠ Storage costs are low ($0.33/GB) but dimensions matter. 1536-dimension embeddings (OpenAI default) use 4x more storage than 384-dimension models.
- ⚠ Namespace operations are free but creating many small indexes is less efficient than fewer larger ones.
- ⚠ Data transfer costs aren't listed but apply when your app and Pinecone are in different cloud regions.
Which Plan Do You Need?
Prototyping or small project
Free tier handles up to ~100K vectors with 1536 dimensions. Good enough for prototypes and small production apps. You'll outgrow it when you hit the 2GB storage cap.
Growing production app
Standard serverless starts cheap but watch your read units. Budget $50-200/month for a typical app with 1M vectors and moderate query volume.
Large scale / enterprise
Enterprise pricing is negotiable. If you're spending $1,000+/month on Standard, negotiate an annual contract for volume discounts. Consider whether self-hosted alternatives like Weaviate or pgvector make more financial sense at your scale.
The Bottom Line
Pinecone's free tier is generous for prototyping. Serverless pricing is competitive for small-to-medium workloads. But costs can surprise you at scale because read units are consumed faster than you'd expect. If you're processing millions of queries, run the numbers against self-hosted alternatives like pgvector or Weaviate before committing.
Related Resources
Frequently Asked Questions
How much does Pinecone cost?
Pinecone has a free tier (2GB storage, 5 indexes) and a usage-based Standard plan. Standard costs $8.25 per 1M read units, $2 per 1M write units, and $0.33/GB/month for storage. A typical small app costs $50-200/month.
Is Pinecone free tier good enough for production?
For small apps with under 100K vectors, yes. The free tier gives you 2GB storage and 5 serverless indexes. The main limitation is community-only support and single-region deployment.
How does Pinecone pricing compare to Weaviate?
Pinecone is cheaper for small workloads (serverless pricing starts lower). Weaviate becomes cheaper at scale because you can self-host on your own infrastructure. For medium workloads, both cost roughly $100-300/month.
What are Pinecone read units?
Read units are Pinecone's billing measure for queries. A simple vector search costs 1 read unit per 1,000 vectors scanned. Metadata filtering, larger result sets, and complex queries use more read units per query.