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
At a glance
| Attribute | E2B | Modal |
|---|---|---|
| Category (differs) | Infra | Inference |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Open core | Proprietary |
| Deployment (differs) | Hybrid | Cloud |
| Platforms | API, CLI | API, CLI |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | E2B | Modal Labs |
| Capabilities (differs) |
|
|
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
When to pick which
E2B leans on Sandboxed code execution as a headline capability; Modal treats it as secondary.
- Sandboxed code execution (primary capability)
They also differ on:
- License
- Open core · Proprietary
- Deployment
- Hybrid · Cloud
Their capability lists differ in recorded depth — compare the full lists above before deciding.