Zilliz Cloud uses transparent, consumption-based pricing: teams pay per query, storage, and compute, with no per-agent overhead, making it cost-efficient as agent systems grow.
Pricing is often a concern when scaling agents: fixed-cost infrastructure (dedicated servers, Kubernetes clusters) requires upfront investment and capacity planning. Zilliz Cloud eliminates these concerns through variable pricing. Teams pay for actual queries executed ($0.00001-0.0001 per query depending on tier), storage consumed (per GB), and compute hours. This model aligns cost with value: agents that make fewer queries cost less, incentivizing efficient retrieval strategies. For enterprises deploying hundreds of agents, consumption-based pricing is economical—most agents are idle or low-traffic, paying minimal costs. Peak-traffic agents scale costs a search platformally without requiring infrastructure expansion. Zilliz Cloud also provides cost estimation tools: teams input expected query volume and storage, and Zilliz calculates monthly costs, enabling budget planning. Volume discounts and multi-year commitments are available for enterprises with predictable, high-volume workloads. Compared to self-hosted Kubernetes clusters (which require dedicated infrastructure even when idle), Zilliz Cloud is economical at most scales. For small pilot projects (1-10 agents), Zilliz Cloud's serverless model is cheaper than maintaining infrastructure. For large deployments (thousands of agents), volume discounts and enterprise licensing are available. This pricing flexibility enables enterprises to scale from prototype to production without architectural changes.