Sandal vs E2B
E2B has the largest template catalog and community in this category, and publishes its infrastructure under Apache 2.0. Sandal runs the same Firecracker isolation at roughly a tenth of the hourly rate, pauses to $0 between turns, and puts CI runners and mobile simulators behind the same SDK.
- $ / hr · 4 vCPU 8 GiB
- 0.331E2B0.036Sandal
- Paused sandbox
- BetaE2B$0Sandal
- Fork a running box
- , E2BYesSandal
- Surfaces on one SDK
- LinuxE2BLinux · CI · mobileSandal
Two good answers. Here is which one is yours.
- Your workload is Linux-only and you want the deepest catalog of prebuilt templates and worked examples.
- Running the control plane yourself, or bring-your-own-cloud, is a hard requirement this quarter.
- Your team is already standardised on E2B templates and SDK conventions and it is working.
- You need the same API to also give the agent a CI runner, a desktop, or an iOS simulator.
- Agents idle between turns and you refuse to pay wall-clock for a machine that is thinking.
- Untrusted code needs its own kernel, default-deny egress and a key that dies with the machine.
Many teams run both. runs-on is per job and a sandbox is per task; nothing here is all or nothing.
What each one actually ships.
Documented capability as of August 2026. Where the honest answer is a qualifier rather than yes or no, the qualifier is printed. Scroll sideways on a small screen.
| Area | E2B | Sandal | Why it matters |
|---|---|---|---|
| Runtime | |||
| Start time | Around a second from a template. | Under 200 ms from a warm pool, under a second cold. | Per-request execution only stays cheap if the machine arrives before the model decides what to do with it. |
| Pause and resume | Pause and resume is in beta. | Pause to $0 with memory and open files intact; resume under 200 ms. | Agents spend most of a session waiting on a model. Idle time is where sandbox bills come from. |
| Fork a machine | No public evidence. | Branch a running box like a repo and keep the attempt that worked. | Trying two approaches in parallel is how agents explore; without forks you rebuild state from scratch. |
| Isolation | |||
| Runtime | Firecracker microVM with its own kernel, built from a template or snapshot. | Firecracker microVM with its own kernel; containers on the same fleet for one-shot code. | Both give untrusted code a kernel boundary instead of a shared one, this row is a tie. |
| Network policy | Configurable network policy per sandbox. | Default-deny egress; you list the hosts the code may reach. Secrets are injected at the edge. | A token written into the guest is a token the code can read. |
| Pricing | |||
| Billing | Per second while the sandbox is alive. | Per second while the machine runs; paused costs nothing. | Two per-second meters diverge the moment the agent stops to think. |
| Surfaces | |||
| Beyond Linux | Linux sandboxes and desktop sandboxes. | Linux, Windows and macOS machines, GitHub Actions runners, iOS and Android simulators, Xcode builds, one SDK, one invoice. | A team that needs CI and mobile alongside sandboxes otherwise buys three vendors. |
| Developer experience | |||
| Self-host / BYOC | Infrastructure published under Apache 2.0; BYOC on enterprise plans. | Not offered, and no date to give you. | If you must run it yourself, this row decides the comparison. |
| SDKs | TypeScript and Python. | TypeScript and Python, plus a CLI, REST API and MCP server. An E2B-shaped compat import. | Migration cost is measured in changed lines. |
Capabilities change and rates change. If something here is out of date, tell us and we will fix it the same week.
Same shape. Two meters.
Published rates, August 2026, same instance shape. E2B meters per second while the sandbox is alive; Sandal bills per second while the sandbox runs and a paused sandbox costs nothing.
- E2B4 vCPU / 8 GiB
- 0.331$ / hour
- Sandal4 vCPU / 8 GiB · paused = $0
- 0.036$ / hour
One agent day on the published rates for the same shape: 5.8 hours of work in six bursts. E2B’s pause is in beta, so the model keeps the sandbox alive between turns.
One line changes.
A compatibility shim presents the SDK you already call. Change the import, keep the code, and run both vendors side by side until the numbers convince you.
- 01≈ 1 min
Install the shim
npm install @sandal/sdk. The compat module presents the E2B Sandbox class you already call.
- 02≈ 5 min
Swap the import
Change one line. Create, commands, files, getHost and kill keep their shape; anything E2B-specific throws with a hint.
- 03≈ 1 afternoon
Run both, side by side
Point one workload at each vendor and compare start time, exit codes and the bill for the same day.
What we would rather you read here than find later.
A comparison page where the vendor wins every row is a brochure. These are real, and we would rather you land on the right tool than land on us and leave in a month.
- 01
The template ecosystem.
E2B has the deepest catalog of prebuilt templates and worked examples in the category. If Linux-only is the whole job, that is the fastest route from nothing to a running sandbox today.
- 02
Open infrastructure and BYOC.
E2B publishes its infrastructure under Apache 2.0 and offers bring-your-own-cloud on enterprise plans. We do not, and there is no date.
Questions teams ask before moving off E2B.
For the common surface, yes: the @sandal/sdk/compat/e2b module presents the E2B Sandbox class, so create, commands, files, host URLs and kill keep their shape. E2B-specific features throw with a migration hint rather than silently doing something else.
The rest of the field in sandboxes.
- Sandal vsDaytonaComposable sandboxes, five SDKs, volumes and signed previewsCompare
- Sandal vsModalServerless functions, GPUs and gVisor sandboxes on one Python platformCompare
- Sandal vsVercel SandboxFirecracker sandboxes wired into Vercel projects and OIDCCompare
- Sandal vsCloudflare SandboxesContainer sandboxes driven from Workers and Durable ObjectsCompare
- Sandal vsascii.dev BoxPersistent KVM VMs at one fixed, very cheap shapeCompare
- Sandal vsrun.cloudFirecracker sandboxes plus mobile simulators, with compatibility adaptersCompare
Run the same job twice.
Point one workload at Sandal and one at E2B. The numbers on this page are ours; the ones that matter are yours.