Beam vs E2B
A side-by-side comparison of Beam and E2B, two Infra tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Beam | E2B |
|---|---|---|
| Category | Infra | Infra |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Proprietary | Open core |
| Deployment (differs) | Cloud | Hybrid |
| Platforms (differs) | CLI, API, Linux | API, CLI |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | Beam | E2B |
| Capabilities (differs) |
|
|
The honest brief
Beam
Deploy GPU endpoints, sandboxes, and queues from a few lines of Python — open-core runtime (beta9) you can self-host.
- Define GPU workloads in pure Python
- Open-source runtime (beta9)
- Fast cold starts and autoscaling
- Free dev tier with monthly credit
- Smaller ecosystem than hyperscalers
- Python-centric; less polyglot
- Newer platform, maturing tooling
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
When to pick which
E2B leans on Sandboxed code execution as a headline capability; Beam treats it as secondary.
- Sandboxed code execution (primary capability)
They also differ on:
- License
- Proprietary · Open core
- Deployment
- Cloud · Hybrid
- Platforms
- CLI, API, Linux · API, CLI
Their capability lists differ in recorded depth — compare the full lists above before deciding.