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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 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.
Daytona is the right tool when your agent needs to run code (not just call an API), when you care about second-level billing and scale-to-zero, and when you'd rather pay Daytona than run and monitor your own Firecracker/Kata cluster.
Daytona fills an important niche as an open-source, infrastructure-agnostic development environment manager. Early adopters appreciate the flexibility of the provider model and the devcontainer.json compatibility. Being relatively new, it lacks the polish and ecosystem breadth of GitHub Codespaces or Gitpod. Documentation is improving but still has gaps, and the self-hosted server requires operational knowledge. A promising choice for teams wanting infrastructure control over convenience.
From $0.0504/vCPU/hour
From $0.99/hour (RTX 4090)
Up to $50k credits
Custom
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View Pricing Options →Daytona works with these platforms and services:
We believe in transparent reviews. Here's what Daytona doesn't handle well:
In 2026 Daytona doubled down on the AI-agent workload — sub-100ms cold-starts, an official MCP server, expanded desktop templates for computer-use agents, and improved Kubernetes self-hosting docs for teams moving off E2B on compliance grounds.
Pricing and features change often. If anything on this Daytona page is wrong or missing, tell us and include a link to the source. We review every correction.