Everyone else rebuilds.
That is the bill.

The standard answer to embedding drift is to rebuild the index on a GPU cluster, forever. You either pay to keep search up while it runs, or you take search down while it runs. Mastersoup does neither.

ANNUAL COST · 10K HUMANOID FLEET · 10B VECTORS RESIDENT

Two baselines you can actually buy today, and what the same fleet costs once the index stops being rebuilt.

Self-managed Milvus — compute alone

now$2.64M

with Mastersoup$264K

Pinecone serverless

now$789K – 868K

with Mastersoup$79K – 87K

Mastersoup is priced at a tenth of the baseline it displaces. The baselines are estimates, not quotes: vendor list pricing read 2026-08-27, before any negotiated discount, modelled on a single region running 24/7 at ~4 KB per vector. Bars are drawn at the top of each range. The Milvus figure is compute only — no published regional storage price could be read, so it is understated. Pinecone’s pod-based indexes are left out because they have been closed to new customers since 2025-08-18. Full derivation on request.

AND THE CHEAP ONE IS NOT THE WORSE ONE

1.11×

Search latency stability

p99 / p50 at recall 0.95. hnswlib measures 1.49× and faiss IVFFlat 1.63× on the same run — our own 768-d × 1M benchmark, not the browser demo, which is too small and too noisy to resolve a tail percentile.

0 s

Re-indexing downtime

Mastersoup ingests continuously, with no build, train, or rebuild step

100 %

Deletion that deletes

resolved inside the cluster — not a tombstone left behind in the index

Run all four engines side by side → Talk to us Same vectors, your phone browser, no network.

Everyone else rebuilds. That is the bill.

Everyone else rebuilds.
That is the bill.