Daytona vs OpenSandbox

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

Tagline

Daytona

Secure, isolated sandboxes for running AI-generated code with sub-90ms cold starts.

OpenSandbox

Open-source sandbox infrastructure for running AI-generated code, agents, and browsers in isolated Docker or Kubernetes environments.

Pricing

Daytona

Freemium· Pay-per-second from $0.000014/sec; $200 free credit

OpenSandbox

Free· Open source (Apache 2.0); managed pricing not disclosed

Free trial

Daytona

Yes

OpenSandbox

Yes

API

Daytona

Yes

OpenSandbox

Yes

Platforms

Daytona

macoslinuxapivscode-extension

OpenSandbox

cliapi

Open source

Daytona

Yes

OpenSandbox

Yes

Company

Daytona

Daytona PlatformS Inc.

OpenSandbox

—

Model used

Daytona

—

OpenSandbox

Model-agnostic

Best for

Daytona

Pick Daytona if you're shipping a coding or computer-use agent and want managed, audited sandboxes that boot fast and persist state.

OpenSandbox

Pick OpenSandbox if you are building a coding agent or RL pipeline and need an auditable, self-hostable sandbox runtime you can drop into your own Docker or Kubernetes cluster.

Not for

Daytona

Skip it if you only need a single long-lived dev VM or your workload is steady-state compute better served by a regular VPS.

OpenSandbox

Skip it if you just want a hosted REPL behind a single API call and have no appetite for running sandbox infrastructure yourself.

Editorial score

Daytona

8.2 / 10

OpenSandbox

7.0 / 10

Use cases

Daytona

agent-sandboxescode-interpreterscoding-agentscomputer-userl-environmentsai-evals

OpenSandbox

code-executionagent-sandboxingbrowser-automationremote-developmentrl-environments

Pros

Daytona

Sub-90ms sandbox cold start beats most agent-sandbox competitors
Open-source core lets you audit isolation and self-host
Stateful sandboxes with snapshots and shared volumes
Supports Linux, Windows, and macOS virtual desktops for computer-use agents
SOC 2, HIPAA, GDPR plus bring-your-own-cloud option

OpenSandbox

Apache 2.0 licensed and self-hostable on Docker or Kubernetes
First-class SDKs for Python, JS/TS, Java/Kotlin, Go, and C#/.NET
Built for agent workloads: Claude Code, Gemini CLI, browser automation, RL
Full lifecycle API: provision, pause/resume, renew, terminate, stream logs

Cons

Daytona

Per-second pricing gets expensive for always-on workloads versus a VPS
Newer than E2B and Modal, so smaller community and fewer examples
GPU and Windows tiers carry meaningful surcharges

OpenSandbox

No public pricing or managed tier details on the landing page
Younger and less battle-tested than E2B or Daytona
Operational burden falls on you if you self-host on Kubernetes

Website

Daytona

daytona.io

OpenSandbox

open-sandbox.ai

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.

Pick Daytona if

✅ Sub-90ms sandbox cold start beats most agent-sandbox competitors
✅ Open-source core lets you audit isolation and self-host
✅ Stateful sandboxes with snapshots and shared volumes
✅ Supports Linux, Windows, and macOS virtual desktops for computer-use agents

Pick OpenSandbox if

✅ Apache 2.0 licensed and self-hostable on Docker or Kubernetes
✅ First-class SDKs for Python, JS/TS, Java/Kotlin, Go, and C#/.NET
✅ Built for agent workloads: Claude Code, Gemini CLI, browser automation, RL
✅ Full lifecycle API: provision, pause/resume, renew, terminate, stream logs

Compare a different pair →