E2B vs Modal

Detailed side-by-side comparison to help you choose the right tool

E2B

🔴Developer

AI Infrastructure & Sandboxes

Secure cloud sandboxes that let AI agents run untrusted code, install packages, and execute long-running tasks in isolated micro-VMs.

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Starting Price

Free

Modal

🔴Developer

AI Infrastructure

Serverless cloud for AI inference, training, and batch jobs with sub-second cold starts.

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Starting Price

Free

Feature Comparison

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FeatureE2BModal
CategoryAI Infrastructure & SandboxesAI Infrastructure
Pricing Plans70 tiers243 tiers
Starting PriceFreeFree
Key Features
  • Hardware-level security isolation
  • Sub-150ms sandbox startup
  • Multi-language runtime support
  • Serverless Python functions and containers
  • GPU-backed AI training, batch, and inference jobs
  • Web endpoints, scheduled jobs, queues, and volumes

💡 Our Take

Choose Modal if you need a broader AI compute platform covering inference, training, batch jobs, notebooks, and sandboxes. Choose E2B if your product mainly needs developer-focused cloud sandboxes for code execution.

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)

Modal - Pros & Cons

Pros

  • Best-in-class developer experience for Python AI teams — minutes to ship a GPU endpoint
  • Sub-second cold starts genuinely solve a long-standing serverless+GPU pain point
  • Per-second billing + autoscale-to-zero materially beats always-on Kubernetes for bursty traffic
  • Sandbox primitive is purpose-built for AI agent code execution — popular for that use case
  • Transparent published pricing across every tier, including GPU rates

Cons

  • Python-only — Java, Go, or polyglot teams are not the target audience
  • Opinionated abstractions limit deep VPC topology and exotic networking
  • GPU pricing is competitive but not the absolute floor (Hyperbolic/spot can be cheaper)
  • Smaller ecosystem of partners and integrations than AWS/GCP
  • $250 Team minimum can feel steep for solo developers above the free credit limit

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🔒 Security & Compliance Comparison

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Security FeatureE2BModal
SOC2✅ Yes✅ Yes
GDPR✅ Yes✅ Yes
HIPAA✅ Yes
SSO✅ Yes✅ Yes
Self-Hosted❌ No❌ No
On-Prem❌ No❌ No
RBAC✅ Yes✅ Yes
Audit Log✅ Yes✅ Yes
Open Source✅ Yes❌ No
API Key Auth✅ Yes✅ Yes
Encryption at Rest✅ Yes✅ Yes
Encryption in Transit✅ Yes✅ Yes
Data ResidencyUS, EUUS
Data RetentionConfigurable retention policiesnot specified in the captured content
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