Daytona vs Runloop

Pick two tools from the same category to compare side-by-side.

	Daytona Secure, fast-starting sandbox infrastructure for running AI-generated code and agent workloads.	Runloop Devbox sandbox infrastructure purpose-built for running and evaluating AI coding agents.
Category	sandbox	sandbox
Vendor type	hybrid	commercial
Pricing	usage	usage
Strengths	+ Sub-100ms sandbox creation suited to high-frequency agent code execution + Stateful sandboxes with snapshots for long-running agent sessions + Computer-use support across Linux, Windows, and macOS desktops + Open-source codebase with a managed, per-second-billed cloud	+ Coding-agent focus with built-in SWE-Bench-style benchmarks and scenario evals + Snapshot and branching model for saving and forking agent state + Vendor-reported fast startup and proven scale to 10,000 concurrent devboxes + MIT-licensed Python and TypeScript SDKs plus CLI
Tradeoffs	− Per-second compute billing requires careful lifecycle management for idle or long-lived sandboxes − Self-hosting the open-source stack is more operationally involved than using the managed cloud	− Closed-source platform with no self-hosting outside enterprise VPC deployment − Production features such as suspend/resume and custom benchmarks require the $250/month Pro tier − Smaller open-source ecosystem than general-purpose sandbox alternatives
Used in stacks	0	0