Comparison · 8 min · 4 citations
Pinecone Pricing 2026: Rates vs Qdrant (Official)
Pinecone Pricing 2026 from the official page: $16-18/M reads, $4-4.50/M writes, $0.33/GB-month storage, $50/mo Standard minimum, vs Qdrant free 4 GB cluster.
At solo-founder RAG scale in 2026, Qdrant's free tier wins on raw cost: a 0.5 vCPU, 1 GB RAM, 4 GB disk cluster runs at zero and holds roughly 250k vectors at 768 dimensions[2]. Pinecone Starter is free up to 2 GB, 1M reads, and 2M writes per month, but Pinecone Standard carries a $50 per month minimum once you exceed those limits[1].
The two price on different axes. Pinecone Standard bills per usage ($16 to $18 per million reads, $4 to $4.50 per million writes, $0.33 per GB-month storage[1]). Qdrant Cloud bills on the compute and memory a cluster consumes, with exact per-GB-hour rates not publicly documented[3]. Pick Qdrant free below the free ceiling; above it, the answer turns on whether your workload is read-heavy (favors a fixed Qdrant cluster) or storage-heavy and bursty (favors Pinecone serverless).
Verified as of 2026-06-12 against the official vendor pricing and documentation pages cited below.
Below the free ceiling, Qdrant wins outright because its free cluster holds about 250k vectors at zero cost while Pinecone Standard starts at a $50 per month minimum; above the ceiling, the choice turns on workload shape, not a single price. Pinecone bills per read, write, and stored GB; Qdrant bills for the compute and memory a cluster reserves. Those are different billing models, so the cheaper one depends on whether your RAG app is bursty and read-light or steady and read-heavy. This article prices a concrete solo-founder scenario and lays out the verified rates side by side.
1. Two different pricing models, not two prices
Pinecone Standard is consumption-priced. You pay $16 to $18 per million read units, $4 to $4.50 per million write units, and $0.33 per GB-month for storage, with a $50 per month minimum usage commitment[1]. A query consumes read units in proportion to namespace size, so a larger index makes every query more expensive. This model is cheap when traffic is low and bursty, and it scales smoothly with no cluster to resize.
Qdrant Cloud is resource-priced. You pay for the vCPU, RAM, and disk a cluster reserves, billed hourly[3]. The exact per-GB-hour and per-vCPU-hour rates are not published on the official pricing page as of June 2026; Qdrant directs users to its calculator for a cluster-specific monthly figure[2]. This model is cheap when a single cluster is busy, because a saturated cluster serves many queries at a fixed cost, but you pay for reserved capacity whether or not it is used.
2. Free tiers: where each one breaks
Qdrant's free tier is a 0.5 vCPU, 1 GB RAM, 4 GB disk cluster at no cost, sufficient for roughly 250k vectors at 768 dimensions[2]. It is a real free-forever cluster, not a time-limited trial, which makes it the cheapest option for a side project or a low-traffic RAG app.
Pinecone's Starter tier is free up to 2 GB of storage, 1 million read units, and 2 million write units per month[1]. It breaks the moment you cross any of those, at which point the Standard plan's $50 per month minimum applies even if your metered usage is lower. The free-tier comparison favors Qdrant for anything that needs a persistent always-on cluster, and favors Pinecone only if your usage stays inside the Starter caps.
3. What Qdrant Cloud costs per GB-month
Qdrant Cloud publishes no flat per-GB-month storage rate. Billing is resource-based and hourly: you pay for the vCPU, RAM, and disk a cluster reserves, so the cost of a stored GB is bundled into the cluster's compute price rather than billed as a standalone line[2]. The free tier covers 4 GB of disk at zero cost, which is enough for roughly 250k vectors at 768 dimensions. For a paid figure, the only authoritative number is a cluster-specific quote from Qdrant's pricing calculator — there is no public dollar rate to multiply by your GB count[3]. The closest published per-GB-month reference point is Pinecone's $0.33 per GB-month for storage on its serverless Standard plan, which is a useful contrast precisely because Qdrant does not expose an equivalent number[1].
4. The solo-founder RAG scenario, priced
Scenario: 200,000 vectors at 1,536 dimensions, 2,400 queries per day, 1,500 ingests per day. The Embeddings DB Cost engine prices the Pinecone side at current rates including the $50/mo plan minimum, so its Pinecone column prints $50, matching the official Standard floor above. The engine models four vendors (not Qdrant) and treats a query as one read unit, so the verified table below is the head-to-head; the engine block is a consistent cross-check.
Show the recompute-verified inputs and outputs
| vector_count | 200000 |
|---|---|
| dim | 1536 |
| queries_per_day | 2400 |
| ingest_per_day | 1500 |
| retention_days | 365 |
| vendors › row 1 › vendor | Pinecone |
|---|---|
| vendors › row 1 › monthly cost | 50 |
| vendors › row 1 › notes | Pinecone Standard 2026-05: ~$16/M read units, $4/M write units, $0.33/GB-mo, $50/mo plan minimum. Queries approximated as read units. |
| vendors › row 2 › vendor | Postgres+pgvector |
| vendors › row 2 › monthly cost | 35 |
| vendors › row 2 › notes | DigitalOcean managed Postgres baseline ($35/mo, includes 25GB; $0.20/GB-mo overage). Self-hosted equivalent. |
| vendors › row 3 › vendor | LanceDB |
| vendors › row 3 › monthly cost | 0.55 |
| vendors › row 3 › notes | LanceDB on Cloudflare R2 list pricing 2026-04: $0.015/GB-mo, $4.50/M ops. Self-hosted compute not included. |
| vendors › row 4 › vendor | Turbopuffer |
| vendors › row 4 › monthly cost | 64 |
| vendors › row 4 › notes | Turbopuffer 2026-05: Launch tier $64/mo minimum; metered $0.10/GB-mo, $0.04/M reads, $2/M writes above the floor. |
| cheapest vendor | LanceDB |
| cheapest monthly cost | 0.55 |
| storage gb | 1.43 |
Computed live at build time.
At this scale the storage footprint is about 1.43 GB, and the engine prints Pinecone at its $50 per month plan minimum because metered usage stays well under that floor: you pay the floor, not the metered amount. Qdrant's free cluster covers this scenario at zero cost on disk, since 200k vectors at 1,536 dimensions fits inside a small cluster. The real-world monthly cost is therefore roughly $0 on Qdrant free versus the $50 Pinecone minimum.
5. The verified comparison table
| Dimension | Pinecone | Qdrant |
|---|---|---|
| Pricing model | Per read/write/storage[1] | Per cluster compute/memory/disk[3] |
| Read rate | $16-$18 / M read units[1] | Bundled into cluster cost |
| Write rate | $4-$4.50 / M write units[1] | Bundled into cluster cost |
| Storage rate | $0.33 / GB-month[1] | Bundled into cluster disk |
| Paid minimum | $50 / month (Standard)[1] | None (pay for cluster size) |
| Free tier | 2 GB, 1M reads, 2M writes / mo[1] | 0.5 vCPU, 1 GB RAM, 4 GB disk[2] |
| Exact paid per-unit rate | Published[1] | Not publicly documented (calculator)[2] |
6. Which to pick
- Pick Qdrant if your app fits the free tier (under about 250k vectors at 768 dimensions), or you want a fixed-cost cluster that you control and can self-host the same engine later. The free tier is genuinely free, and there is no metered-usage floor.
- Pick Pinecone if your traffic is bursty and you would rather pay per use than reserve a cluster, your usage fits the Starter caps, or you value the more mature serverless ecosystem and want zero cluster management. Budget for the $50 minimum once you go paid.
- Either way, re-verify rates before committing. Pinecone publishes per-unit rates; Qdrant's exact paid rate requires its calculator, so model your specific cluster there.
For the broader vector-DB landscape, the cheapest vector database ranking prices eight vendors at one fixed scenario, and the pgvector vs Pinecone at 200k article covers the self-host alternative.
Frequently asked questions
Is Pinecone or Qdrant cheaper for a small RAG app in 2026?
At solo-founder scale, Qdrant's free tier (0.5 vCPU, 1 GB RAM, 4 GB disk) is genuinely free for roughly 250k vectors at 768 dimensions, so a small RAG app can run at zero cost. Pinecone's Starter tier is free up to 2 GB storage, 1M reads, and 2M writes per month, but its Standard plan carries a $50 per month minimum once you exceed the free limits. For a tiny app, Qdrant free wins; once you need a managed paid cluster, the comparison turns on whether your read volume fits Pinecone's per-unit billing or Qdrant's fixed compute.
How does Pinecone serverless pricing work in 2026?
Pinecone Standard bills per usage: $16 to $18 per million read units, $4 to $4.50 per million write units, and $0.33 per GB per month for storage, with a $50 per month minimum usage commitment. A query consumes read units in proportion to namespace size, so cost scales with both query volume and index size.
What does Qdrant Cloud cost per month?
Qdrant Cloud bills on the compute, memory, and disk a cluster consumes, on an hourly basis. The free tier is a 0.5 vCPU, 1 GB RAM, 4 GB disk cluster at no cost. Exact per-vCPU-hour and per-GB-hour rates are not published on the official pricing page as of June 2026; Qdrant directs users to its pricing calculator for a cluster-specific monthly figure.
References
Sources
Primary sources only. No vendor-marketing blogs or aggregated secondary claims.
- 1 Pinecone — Pricing (Standard read/write unit and storage rates, Starter free limits) — accessed 2026-06-12
- 2 Qdrant — Pricing (free tier specs, usage-based managed cloud) — accessed 2026-06-12
- 3 Qdrant — Cloud Pricing and Payments docs (billing on CPU, memory, disk) — accessed 2026-06-12
- 4 AI Biz Hub — Embeddings DB Cost methodology — accessed 2026-06-12
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