THE COMPARISON / A CLOSER LOOK

Daytona vs CodeSandbox

Compare the listed plans, useful capabilities, and practical tradeoffs.

Prices and features reflect editorial records. Check vendor terms before you buy; documentary checks do not imply hands-on testing.

Daytona

🔴Developer

App Deployment

Daytona is a pay-as-you-go sandbox platform built for AI agents that need to run generated code safely.

SOURCE-CHECK COVERAGE

No scoped source-check record shown. Check current pricing and vendor terms before buying.

Starting Price

Free

CodeSandbox

🟡Low Code

App Deployment

CodeSandbox is a cloud development and code-execution platform — now part of Together AI — built around the Sandbox SDK and Firecracker microVMs with 2-second…

SOURCE-CHECK COVERAGE

No scoped source-check record shown. Check current pricing and vendor terms before buying.

Starting Price

Free

Feature Comparison

Focus the table and use arrow keys to scroll when columns extend beyond the screen.

FeatureDaytonaCodeSandbox
CategoryApp DeploymentApp Deployment
Pricing Plans4 listed plans5 listed plans
Starting PriceFreeFree
Key Features
  • • Multi-provider infrastructure support
  • • Devcontainer.json compatibility
  • • REST API and CLI access
  • • Firecracker microVM infrastructure with 2-5 second cold start
  • • Environment branching (fork entire VM states)
  • • Real-time collaborative multiplayer editing

Daytona - Pros & Cons

Pros

  • ✓Per-second billing means idle sandboxes cost nothing after shutdown
  • ✓Fast cold starts (milliseconds) enable interactive agent loops
  • ✓Real GPU catalog (RTX 4090 up to H200) with transparent hourly pricing
  • ✓$200 free credit lets you actually validate the SDK before committing
  • ✓Predictable, published pricing — no 'talk to sales' for standard use

Cons

  • ✗No flat SaaS tier — spiky workloads produce spiky bills
  • ✗Per-second GPU rates add up fast if a sandbox is left running
  • ✗Enterprise features (SSO, BYOC) require a sales conversation
  • ✗Storage after 5 GiB free is metered — long-lived workspaces add cost
  • ✗Windows workloads carry an OS surcharge

CodeSandbox - Pros & Cons

Pros

  • ✓2-second VM startup on Firecracker microVMs is best-in-class for many AI agent workloads
  • ✓Sandpack and Storybook integrations have unmatched distribution across JS/React docs and learning sites
  • ✓Together AI ownership ties the SDK to a clear model/inference + agent infrastructure path

Cons

  • ✗Pricing page now blocks crawlers (HTTP 403) — pricing transparency dropped after the Together AI acquisition
  • ✗No public MCP server yet — agent integrations go through the CodeSandbox SDK directly
  • ✗Modal Labs and E2B can be cheaper per second for pure Python eval workloads without browser IDE needs

Not sure which to pick?

🎯 Take our quiz →

🔒 Security & Compliance Comparison

Focus the table and use arrow keys to scroll when columns extend beyond the screen.

Security FeatureDaytonaCodeSandbox
SOC2—❌ No
GDPR—✅ Yes
HIPAA—❌ No
SSO—✅ Yes
Self-Hosted—❌ No
On-Prem—❌ No
RBAC—✅ Yes
Audit Log—❌ No
Open Source—❌ No
API Key Auth—✅ Yes
Encryption at Rest—✅ Yes
Encryption in Transit—✅ Yes
Data ResidencySelf-host anywhere; managed cloud offers multi-regionEU (primary), with enterprise options for region selection
Data Retention—Sandbox data persists until user deletion; enterprise plans offer configurable retention policies
🦞

New to AI tools?

Read practical guides for choosing and using AI tools

🔔

Price Alert Interest

Record the tools you want pricing updates for

Selected 2 tools

Registration records your interest; an alert schedule and email delivery are not confirmed.

Get weekly AI agent tool insights

Comparisons, new tool launches, and expert recommendations delivered to your inbox.

No spam. Unsubscribe anytime.

Ready to Choose?

Read the full reviews to make an informed decision