Daytona reserved compute billing

This pricing model turns Daytona into raw compute infrastructure for agents, not a SaaS seat product. A customer is effectively renting short lived cloud computers, sized by CPU and memory, then paying while those resources stay reserved. That fits agent workloads better than seat pricing because one app can launch thousands of sandboxes for code execution, testing, or browser tasks without mapping usage back to named users, and it makes cost scale with sandbox size and runtime instead of model calls.1 2 3 4

• The important detail is that billing follows reserved capacity, not just active work. Daytona bills started sandboxes for reserved vCPU, RAM, and disk, and transitional states like starting or pausing are billed the same. Once stopped or paused, CPU and memory charges end, but reserved disk can still keep billing. That pushes customers to aggressively stop and delete idle environments.2
• This is a different cost shape from Vercel Sandbox. Vercel says Sandbox uses Active CPU pricing, where CPU is billed only while code is actively running, which is cheaper for bursty or I O bound jobs. Daytona is simpler and more cloud like. Pick a machine size, keep it running, pay for the reservation. That can be better for long lived sessions and predictable agent work.3 4
• The model also lines up Daytona against infrastructure peers like E2B and cloud platforms, not against copilots that charge per seat or model vendors that charge per token. In this market the buyer compares isolation, startup behavior, session length, and total runtime cost. Daytona and E2B are both selling the execution layer behind the agent, the temporary computer where generated code actually runs.5 6 7

Over time, sandbox vendors will keep converging toward cloud style metering, while competing on how much idle time and orchestration waste they can remove. Daytona is positioned to win more spend as agent workloads become longer running and more stateful, because those jobs look less like chat usage and more like renting fleets of programmable computers.2 4 7