Skip to content

E2B vs Modal

A side-by-side comparison of E2B and Modal, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

E2B

Infra

Secure cloud sandboxes for running AI-generated code.

View E2B

Modal

Inference

Serverless GPUs. Run training, inference, batch jobs from Python.

View Modal

At a glance

Feature comparison of E2B and Modal
AttributeE2BModal
Category (differs)InfraInference
PricingFREEMIUMFREEMIUM
License (differs)Open coreProprietary
Deployment (differs)HybridCloud
PlatformsAPI, CLIAPI, CLI
Model supportModel-agnosticModel-agnostic
Vendor (differs)E2BModal Labs

The honest brief

E2B

Firecracker microVM isolation with stateful sessions — code interpreter pattern where vars persist across agent turns.

  • Firecracker microVM hardware isolation
  • Stateful sessions across agent turns
  • Sub-second cold starts
  • Large catalog of community templates
  • Open-source SDK
  • No native GPU sandboxes (vs Modal)
  • Daytona quotes faster cold starts
  • Per-second billing adds up at scale
  • Narrower than full infra platforms

Modal

Define GPU infra in Python decorators with 2-4s cold starts — no YAML, Dockerfiles, or managed-stack lock-in.

  • Python-decorator infra, no YAML/Dockerfiles
  • Scale-to-zero, pay only when running
  • Scales to hundreds of GPUs
  • Free monthly starter credits
  • SDK lock-in; migrating means rewriting
  • No managed vLLM/TensorRT setup
  • Costs climb under heavy usage
  • Billing hard to predict
E2B detailsModal details