Pinecone Serverless Pricing Model
Pinecone Serverless charges on three dimensions:
| Dimension | Price | Unit |
|---|---|---|
| Storage | $0.33 | per GB per month |
| Read (queries) | $16.00 | per million read units |
| Write (upserts) | $2.00 | per million write units |
No base fee. No minimum commitment. You pay exactly for what you use.
What Is a Read Unit?
A read unit (RU) is Pinecone's measure of query cost in serverless mode. It's not a 1:1 mapping to API calls — the actual RU consumption per query depends on:
- Index size: More vectors = more computation per query = more RUs
- top_k value: Asking for top-100 nearest neighbors costs more than top-10
- Namespace usage: Each namespace scanned adds compute
- Metadata filters: Pre-filtering adds or reduces scan cost
As a rough guideline: a typical semantic search query (top_k=10) on a 1M-vector index consumes approximately 0.5–2 read units. At 1M queries/month and 1 RU average: 1M RU × $16/M = $16/month in query costs.
The Cost Formula
storage_cost = storage_GB × $0.33
query_cost = monthly_queries × avg_RU_per_query × $16 / 1,000,000
write_cost = monthly_upserts × $2 / 1,000,000
total = storage_cost + query_cost + write_cost
Real Cost Examples
RAG Application: 1M vectors, 500K queries/month
| Cost Component | Calculation | Cost |
|---|---|---|
| Storage (1M × 1536 dim) | ~9GB × $0.33 | $2.97 |
| Query cost (500K × 1 RU) | 0.5M RU × $16/M | $8.00 |
| Writes (100K upserts) | 0.1M WU × $2/M | $0.20 |
| Total | — | $11.17/month |
For a typical RAG application at this scale, Pinecone costs around $11/month. Very competitive.
High-Traffic Semantic Search: 1M vectors, 10M queries/month
| Cost Component | Calculation | Cost |
|---|---|---|
| Storage | ~9GB × $0.33 | $2.97 |
| Query cost (10M × 1 RU) | 10M RU × $16/M | $160.00 |
| Total | — | $162.97/month |
Query costs dominate at high volume. At 10M queries/month, Supabase pgvector at $25/month (unlimited queries) is 6× cheaper.
Large Index: 10M vectors, 2M queries/month
| Cost Component | Calculation | Cost |
|---|---|---|
| Storage (10M × 1536 dim) | ~90GB × $0.33 | $29.70 |
| Query cost (2M × 1 RU) | 2M RU × $16/M | $32.00 |
| Total | — | $61.70/month |
🧊 Calculate your Pinecone cost
Enter your vector count, dimensions, and monthly query volume — see Pinecone vs Supabase vs Qdrant side by side.
Open Vector DB Calculator →When Does Pinecone Get Expensive?
Pinecone's pricing is query-dominated. At 50M queries/month, query costs alone reach $800/month regardless of index size. If your product has a high query-to-storage ratio (e.g., a search feature on a small product catalog with heavy user traffic), Pinecone can get expensive fast.
Rules of thumb for when Pinecone gets expensive:
- Over 5M queries/month: Supabase pgvector ($25-175/month, unlimited queries) often cheaper
- Over 50M vectors: Storage costs ($16.50/month per 50M vectors) become significant
- User-facing real-time search: Each user query = 1+ RU — volume scales with users
Pinecone vs Alternatives: When to Switch
| Scenario | Best choice | Why |
|---|---|---|
| RAG, <2M queries/month | Pinecone | Cheap, zero-ops, fast setup |
| High query volume (>5M/mo) | Supabase pgvector | Flat $25/month, unlimited queries |
| Need max performance / low latency | Qdrant Cloud or self-hosted | Purpose-built ANN, <10ms p99 |
| Already using Postgres | Supabase pgvector | Zero extra infra, SQL joins |
| 100M+ vectors, cost-sensitive | Self-hosted Qdrant | $150-300/month vs $1,500+ |
FAQ
How much does Pinecone cost?
Pinecone Serverless: $0.33/GB storage + $16/M read units + $2/M write units. A typical RAG app with 1M vectors and 500K monthly queries costs ~$11/month. At 10M queries/month, costs rise to ~$163/month.
What is a Pinecone read unit?
A read unit measures query computation cost. A typical top-10 nearest neighbor search on a 1M-vector index consumes roughly 0.5–2 read units. At $16/M RU, each query costs approximately $0.000008–$0.000032.
When does Pinecone get expensive?
When query volume is high. At 5M+ queries/month, query costs alone exceed $80. For high-traffic applications, Supabase pgvector (unlimited queries at $25/month) is typically cheaper. Full comparison →
Is Pinecone serverless cheaper than pods?
For most workloads yes — serverless eliminates the $70+ minimum pod cost. Exception: if you have extremely high, predictable query volume, pod pricing may offer better unit economics. Most new projects should start with serverless.
Last updated: June 2, 2026. Report a discrepancy →