THE COMPARISON / A CLOSER LOOK

CodeSandbox vs E2B

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.

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

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Starting Price

Free

E2B

🔴Developer

AI Infrastructure & Training

Open-source secure code-execution sandbox for AI agents — spin up a fresh Linux VM in under 200ms, hand your agent a Python/Node/Bash environment, and get…

SOURCE-CHECK COVERAGE

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

Starting Price

Free

Feature Comparison

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FeatureCodeSandboxE2B
CategoryApp DeploymentAI Infrastructure & Training
Pricing Plans5 listed plans3 listed plans
Starting PriceFreeFree
Key Features
  • • Firecracker microVM infrastructure with 2-5 second cold start
  • • Environment branching (fork entire VM states)
  • • Real-time collaborative multiplayer editing
  • • Hardware-level security isolation
  • • Sub-150ms sandbox startup
  • • Multi-language runtime support

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

E2B - Pros & Cons

Pros

  • ✓Strong isolation via Firecracker — safe enough for fully LLM-generated code
  • ✓150ms cold-start is fast enough for interactive chat-style agents
  • ✓Drop-in ChatGPT-style Code Interpreter SDK with persistent Jupyter kernels
  • ✓Desktop sandbox makes browser-use and computer-use agents practical
  • ✓Production-proven (Perplexity, Hugging Face) and well-instrumented

Cons

  • ✗Per-hour pricing can balloon for long-running autonomous agents
  • ✗Pro tier only includes 20 hours/mo — most teams burn through it
  • ✗Smaller per-sandbox resource limits than running on your own GPU box
  • ✗No GPU access on standard sandboxes (use Modal or RunPod for that)

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🔒 Security & Compliance Comparison

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Security FeatureCodeSandboxE2B
SOC2❌ No✅ Yes
GDPR✅ Yes✅ Yes
HIPAA❌ No—
SSO✅ Yes✅ Yes
Self-Hosted❌ No❌ No
On-Prem❌ No❌ No
RBAC✅ Yes✅ Yes
Audit Log❌ No✅ Yes
Open Source❌ No✅ Yes
API Key Auth✅ Yes✅ Yes
Encryption at Rest✅ Yes✅ Yes
Encryption in Transit✅ Yes✅ Yes
Data ResidencyEU (primary), with enterprise options for region selectionUS, EU
Data RetentionSandbox data persists until user deletion; enterprise plans offer configurable retention policiesConfigurable retention policies
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