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Shotcup vs Daytona

Daytona: Containers and VMs from images or snapshots. Shotcup: a fresh JavaScript engine per run, with hard limits and files back.

Which to pick

Pick Daytona when

your agent needs a full development environment: any language, volumes, GPUs or long-lived workspaces.

Pick Shotcup when

the work is short JavaScript (tool orchestration, transforms, documents) and you would rather pay a plan than a per-second meter with a 1 vCPU minimum.

The facts, side by side

Shotcup and Daytona compared
QuestionShotcupDaytona
What runs
  • A fresh GocciaScript engine per run in a pooled worker process, with a virtual filesystem. JavaScript only: no operating system, no npm at run time.
Start-up
  • Measured by us: 89.5 ms p50 server time for a whole run on shotcup.dev (2026-10-08), sandbox included.
How usage is billed
  • A monthly allowance of runs and compute-hours per plan; past it, opt-in overage of $0.05 per 1,000 runs and $0.08 per compute-hour under a spend cap.
  • $0.0504 per vCPU-hour and $0.0162 per GiB-hour, billed per second; minimum 1 vCPU and 1 GiB.daytona.io,
Free tier and entry plan
  • Free: 30,000 runs and 3 h of compute a month. Pro: $4.99 a month for 100,000 runs and 10 h.
Concurrency and run length
  • 1 concurrent run on Free, 10 on Pro, up to 100 on Platform. A run lasts at most 5 s on Free and 5 min on Scale.
State between runs
  • Disposable by default; saved sandboxes keep their files between runs. Seeded clocks and randomness make runs repeatable, and a run that needs approval pauses and resumes.
MCP and agents
  • A hosted MCP server and a REST API on one key; a TypeScript SDK, an AI SDK sandbox and an eve provider.

Daytona's start-up figure is its own claim; we did not measure it. Prices change: follow the links for the current ones. Shotcup's figures are explained on the performance page and the pricing page.