Daytona Review 2026

Daytona is a pay-as-you-go sandbox platform built for AI agents that need to run generated code safely. Spin up isolated compute environments in milliseconds, run the LLM's shell/Python/browser calls in there, and shut them down when the task is done — billed by the second for CPU, GPU, memory, and storage.

Daytona is the sandbox layer for agentic coding tools like /tools/devin, /tools/replit-agent, /tools/cursor-agent, or a homegrown /tools/langgraph flow that generates and executes code. The premise: LLMs write code that you cannot trust; you need a disposable, isolated, network-controlled compute environment that spins up in milliseconds so the agent can run it, and shuts down cleanly when done — without you paying for idle capacity. Daytona exposes an SDK that lets your agent create a sandbox, mount a repo, run shell commands, execute Python, drive a headless browser, and stream results back to the orchestrator. It's a direct alternative to /tools/e2b for the AI-code-execution use case.

Pricing verified on daytona.io/pricing (July 2026) is pure pay-as-you-go, billed by the hour or by the second: vCPU at $0.0504/hour ($0.0000140/second), memory at $0.0162/GiB-hour, storage at $0.000108/GiB-hour after the first 5 GB free, and Windows OS at $0.0858/vCPU/hour. GPU pricing (hourly): Nvidia H200 $4.54, H100 $3.95, RTX PRO 6000 $3.03, RTX 5090 $1.29, RTX 4090 $0.99. Every new account gets $200 in free compute credit; the Startup Program adds up to $50k in credits for qualifying companies. Enterprise adds SSO, audit logs, BYOC, and volume discounts, with pricing on request.