E2B vs Beam

E2B is an agent sandbox API where each sandbox is a Firecracker microVM that can pause with its memory and wake on the next request. Beam is a serverless GPU platform whose sandboxes are gVisor containers, with GPUs, no session cap and a separate line of CPU VMs.

The companies and products

E2B

E2B calls itself the AI agent cloud: an API that gives each agent session its own isolated Linux machine.

Every E2B sandbox is a Firecracker microVM that boots from a snapshot, so it starts fast and can be paused and resumed with its memory. You build custom sandboxes from templates based on a Docker image, and drive them from Python or JavaScript SDKs. It is built for teams that run many short code, data or agent jobs, and its runtime is open source.

Beam

Beam is a serverless cloud for GPU inference, sandboxes and background jobs, built on its open-source runtime Beta9.

Beam runs functions, REST endpoints, task queues, pods, sandboxes and VMs on CPUs and GPUs, all from a Python or TypeScript SDK. A sandbox is a container isolated with gVisor that starts in a second or two, lives until you terminate it or its time to live runs out, and can be saved as a filesystem image or a memory snapshot. Beam VMs are a separate CPU product: a microVM with its own kernel, systemd and a root disk that stays when it stops. Much of Beam is a GPU serverless platform for AI teams.

Which use cases each one fits

For each use case, Battleships prices every sandbox provider on the same workload and sorts them from the cheapest monthly bill up. “16th cheapest of 367” means 15 of the other 366 providers run that workload, with every feature it needs, for less. “With limits” means the provider runs it but misses something, so it is listed after every full match. Open a use case for its whole ranking and what each provider misses.

Use case and its workloadE2B: price rankBeam: price rankbochka: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
E2B gives a microVM with systemd but stops at 24 hours on Pro, Beam sandboxes are containers with no systemd; bochka adds /dev/kvm, no session cap and about twice E2B's CPU speed.
16th cheapest of 367
$4,143 a month
69th of 367, with limits
$551 a month
3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
An assistant that lives on its machine all month hits E2B's 24-hour cap, while a Beam sandbox can run until you end it; bochka runs as long as you like and keeps its disk when stopped.
51st of 366, with limits
$5,348 a month
115th of 366, with limits
$651 a month
5th cheapest of 366
$657 a month
Code interpreter bursts
100 at once · 1 vCPU / 2 GB · 200,000 sessions of 1 min a month
Both fit short code runs: Beam sandboxes start in a second or two and end on their own timer, and E2B can pause a sandbox with its memory and wake it on the next request.
37th cheapest of 345
$421 a month
8th cheapest of 345
$117 a month
186th of 345, with limits
$2,000 a month
Sandboxes for your users
300 at once · 2 vCPU / 4 GB · 30,000 sessions of 23 min a month
23rd cheapest of 361
$2,354 a month
3rd cheapest of 361
$290 a month
Cheapest of 361
$209 a month
RL rollouts
1,000 at once · 2 vCPU / 4 GB · 1,000,000 sessions of 3 min a month
E2B's memory forks and high start rate suit many short rollouts that branch from the same state.
2nd cheapest of 360
$9,384 a month
341st of 360, with limits
$939 a month
34th of 360, with limits
$2,000 a month
Agent evals
250 at once · 4 vCPU / 8 GB · 15,000 sessions of 20 min a month
78th cheapest of 364
$1,975 a month
13th cheapest of 364
$251 a month
10th cheapest of 364
$200 a month
CI runners
40 at once · 8 vCPU / 16 GB · 6,000 sessions of 12 min a month
Beam sandboxes run Docker and bill per second, which suits CI; jobs that build Android apps or VM images need /dev/kvm, which only bochka has of the three.
337th of 377, with limits
$1,429 a month
12th cheapest of 377
$171 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
A dev box that runs all month does not fit E2B's 24-hour cap; a Beam VM keeps its root disk while stopped, and bochka saves the disk every minute and on stop.
192nd of 368, with limits
$358 a month
13th cheapest of 368
$21 a month
18th cheapest of 368
$26 a month
Computer-use agents
50 at once · 4 vCPU / 8 GB · 20,000 sessions of 15 min a month
E2B has a Linux desktop for computer use and Beam has no desktop or browser product; bochka streams its desktop at 60fps with Chromium.
32nd cheapest of 369
$1,342 a month
111th of 369, with limits
$237 a month
6th cheapest of 369
$200 a month
Browser-use agents
50 at once · 2 vCPU / 4 GB · 30,000 sessions of 10 min a month
100th of 367, with limits
$746 a month
195th of 367, with limits
$176 a month
7th cheapest of 367
$200 a month
Scraping & bots (startup scale)
50 at once · 1 vCPU / 2 GB · 100,000 sessions of 3 min a month
57th cheapest of 346
$554 a month
200th of 346, with limits
$131 a month
6th cheapest of 346
$90 a month
Mass scraping & bots (undetectable)
1,000 at once · 1 vCPU / 2 GB · 3,000,000 sessions of 2 min a month
227th of 338, with limits
$9,223 a month
42nd of 338, with limits
$923 a month
71st of 338, with limits
$1,800 a month
Parallel red teaming
200 at once · 2 vCPU / 4 GB · 5,000 sessions of 30 min a month
11th cheapest of 360
$1,043 a month
175th of 360, with limits
$155 a month
2nd cheapest of 360
$200 a month
GPU eval jobs
10 at once · 8 vCPU / 32 GB · 500 sessions of 30 min a month
Beam has GPUs from RTX 4090 up to H100 and B200; E2B and bochka are CPU only.
Can't run itCheapest of 98
$458 a month
Can't run it
macOS agents
5 at once · 4 vCPU / 8 GB · 1,000 sessions of 20 min a month
Can't run itCan't run itCan't run it

Key features

FeatureE2BBeambochka
IsolationFirecracker microVM with its own kernelgVisor container by default for sandboxes; separate Beam VMs are CPU microVMs with their own kernelFull VM with its own kernel on dedicated AMD Ryzen 9 9950X hosts
CPU benchmark (4 vCPU / 8 GB)12.61 runs/sNo result on this test26.69 runs/s
Session lengthUp to 1 hour on Hobby, 24 hours on Pro; pausing resets the clockDefault 10 minutes; set -1 to run until you terminate itNo cap on paid plans; you set the time to live
Pause and resumeSaves memory and disk; resume takes about 1 second with processes still runningMemory snapshot of a running sandbox, restored into new sandboxes; a Beam VM keeps its root disk while stoppedDisk is saved every minute and on stop, and a stopped sandbox keeps it for free
Wake on requestYes; a paused sandbox can resume on the next HTTP request or SDK callNoNo; a stopped sandbox is started by API
ForkFork a running sandbox with its memory, up to 20 copies per callRestore a memory snapshot with its processes into new sandboxesFork a running sandbox with its disk
Docker, systemd and nested virtualizationDocker and systemd; nested virtualization not supportedDocker with docker_enabled; no systemd in sandboxes; /dev/kvm not documentedDocker, systemd, root and /dev/kvm for Android emulators and VMs
GPUsNo, CPU onlyGPU sandboxes and serverless GPUs up to H100, H200 and B200No, CPU only
Desktop and computer useLinux desktop for computer useNo desktop or browser productLinux desktop streamed at 60fps with Chromium and computer use
Inbound accessHTTPS URL per port, public by default unless you turn on a token; no raw TCP or dedicated IPHTTPS URL per exposed port with no built-in auth; no raw TCP or dedicated IPHTTPS URLs for up to 50 ports, token-protected by default; raw TCP; dedicated IPv4 or IPv6
Outbound rulesAllow and deny lists by IP, CIDR or domainBlock all outbound traffic, or allow up to 10 CIDR ranges, changeable while runningOpen internet, no provider-side allowlist
Coding agentsTemplates and guides for many agents, run through the command APINone preinstalled; you install and run them through process execSeven agents preinstalled, with a prompt, steer and events API
Keeping API keys out of the sandboxSecrets injected into outbound HTTPS headers (private beta)Secrets are exposed as environment variables inside the sandboxCredentials proxy for model providers and any HTTPS API; switch a credential to another account when credits run out
Regions and self-hostingUS by default, EU and APAC on Pro and above; Apache-2.0 runtime and bring your own cloud on EnterpriseUS only; Beta9 runtime is AGPL-3.0 and free to self-host, bring your own cloud for a feeEU only (Germany, Finland, France); no self-hosting
Every feature Battleships tracks (43)
FeatureE2BBeambochka
Full VM (own kernel)YesNoYes
Docker insideYesYesYes
Nested virtualizationNoNoYes
RootYesYesYes
SystemdYesNoYes
Desktop GUIYesNoYes
BrowserYesNoYes
Computer-use APIYesNoYes
SSHYesYesYes
Persistent diskYesYesYes
Pause/resumeYesNoYes
Automatic snapshotsYesNoYes
Fork/cloneYesYesYes
Live fork (no pause)YesYesYes
Memory forkYesYesNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopYesNoNo
Wake on requestYesNoNo
HTTPS preview URLsYesYesYes
Raw TCP inboundNoNoYes
Public IPv4NoNoNo
Egress allowlistYesYesNo
Secret proxyYesNoYes
Secret proxy for any APIYesNoYes
Preinstalled agentsYesNoYes
Agent harness APINoNoYes
MCP serverYesYesNo
GPUNoYesNo
WindowsNoNoNo
Arm64NoNoNo
Self-hostingYesYesNo
BYOCYesYesNo
Open sourceYesYesNo
Scoped API keysNot publishedNot publishedYes
Spend limitsYesNot publishedYes
Usage per sandbox (API)NoNoYes
Audit logsNot publishedNot publishedNo
SSONoNoNo
SOC 2YesYesNo
HIPAAYesYesNo
EU data residencyYesNot publishedYes
Zero data retentionNot publishedNot publishedYes

Performance

E2B12.61 runs/s
BeamNot measured
bochka26.69 runs/s

On the StarSling hpc-sandbox-benchmarks Node.js build-and-test loop at 4 vCPU / 8 GB, bochka did 26.69 runs per second and E2B did 12.61, so bochka finished about twice as much CPU work in the same time. Beam has no result on that test, so we cannot say how fast it is at CPU work. Beam's own guide says its sandboxes cold-boot in 1 to 3 seconds.

Node.js build-and-test loop at 4 vCPU / 8 GB, higher is better. Measured with the open hpc-sandbox-benchmarks suite. Beam has no published run in this suite yet, so there is no like-for-like number to compare.

Pricing in five scenarios

Each bill is priced from the providers' public price lists by the open Battleships engine, with the cheapest plan that runs the scenario.

ScenarioE2B, a monthBeam, a monthbochka, a month
One coding agent, workdays
4 vCPU / 8 GB, 50 GB disk, 8 hours a day, 22 days a month, files kept between days
$202 · Pro$5 · Developer$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$368 · Pro · with limits$22 · Developer$26 · $20/mo
50 agents in parallel
50 machines of 4 vCPU / 8 GB at once, 8-hour sessions, 1,100 sessions a month, Docker inside
$2,773 · Pro$410 · Team$317 · $20/mo × 3 seats
Sandboxes for your users
2 vCPU / 4 GB, 30,000 sessions of 10 minutes a month, up to 300 at once
$1,395 · Pro+ (600 concurrent)$191 · Team$200 · $100/mo × 2 seats
1,000 short jobs at once
2 vCPU / 4 GB, 1,000 at once, 3 minutes each, 200,000 jobs a month
$2,797 · Pro++ (1,100 concurrent)$259 · Team$2,000 · $2000/mo · with limits

E2B: E2B bills per second for the vCPU and RAM you set, idle time included, until you pause or kill the sandbox. Pro costs $150 a month for higher limits, with no usage credit, and more concurrency costs $500 a month per 500 slots.

Beam: Beam sandboxes bill per second for each CPU core (two vCPU) and GiB of RAM you request, until you terminate them or their time to live ends, so an idle tail is billed too. Developer has no fee; Team costs $89 a month plus usage, and there are no egress fees.

Beam: Plans start at $20 a month, and the whole fee is usage credit. You pay per second while a sandbox runs, and a stopped sandbox costs nothing and keeps its disk.

Limits in those scenarios

E2B caps a session at 24 hours on Pro, so it does not fit the agent that never stops, and Pro includes 20 GiB of disk with no published price for more. Beam's Developer plan allows 30 CPU containers at once, so 50 parallel agents need the Team plan, and Beam publishes no price for disk, so the scenarios count none. For 1,000 short jobs at once, E2B Pro++ queues bursts above 300 starts a minute and Beam's Team plan fits the burst, while bochka's start limits make it a poor fit.

ScenarioE2BBeambochka
One coding agent, workdays
  • disk beyond 20 GiB: price unknown
  • egress price not published
  • disk beyond 0 GiB: price unknown
None that bite
One agent that never stops
  • Pro: sessions capped at 24 h
  • disk beyond 20 GiB: price unknown
  • egress price not published
  • disk beyond 0 GiB: price unknown
None that bite
50 agents in parallel
  • egress price not published
  • disk beyond 0 GiB: price unknown
None that bite
Sandboxes for your users
  • egress price not published
  • disk beyond 0 GiB: price unknown
None that bite
1,000 short jobs at once
  • egress price not published
  • bursts above 300 starts/min are queued (a burst of 333 takes ~2 min to start)
  • disk beyond 0 GiB: price unknown
  • max 2,400 starts/day (needs ~6,667)
  • max 600 starts/hour (needs ~1,000)
  • bursts above 90 starts/min are queued (a burst of 333 takes ~4 min to start)

Which one should you use?

Use E2B when

you run many short jobs that pause between requests and wake with their memory, need a desktop for computer use, or must run in the EU or APAC.

  • Memory pause and wake on request. For jobs that sleep between requests, a paused E2B sandbox comes back in about a second with its processes still running.
  • A microVM with systemd and a desktop. Each E2B sandbox has its own kernel, systemd and a Linux desktop for computer use, which Beam sandboxes do not have.
  • More regions and finer outbound rules. E2B runs in the US, EU and APAC and can allow or block outbound traffic by domain, not only by IP range.

Use Beam when

your agents need GPUs, when you want sandboxes and serverless GPU endpoints in one platform, or when low per-second CPU rates in the US matter most.

  • GPUs in the same platform. For work that needs a GPU, Beam offers GPU sandboxes and serverless GPUs from RTX 4090 up to H100, H200 and B200.
  • No session cap. A Beam sandbox set to -1 runs until you terminate it, and Beam VMs keep their root disk while stopped.
  • Low per-second rates. Teams running many CPU sandboxes pay far less on Beam than on E2B in every scenario on this page.

Where bochka fits

If your agents do long, real work like installs, builds, Docker, emulators and a browser, look at bochka. Every bochka sandbox is a full VM with /dev/kvm, systemd and a 60fps desktop, with no session cap and a disk that stays when it stops. Pick E2B or Beam instead for memory pause and wake on request, GPUs, or US hosting.

A full VM with /dev/kvm

E2B does not support nested virtualization, and a Beam sandbox is a gVisor container with no systemd. Android emulators, nested VMs and tools that expect a real kernel fail there; on bochka they run.

Work that runs for hours and keeps its disk

E2B stops a sandbox at 24 hours on Pro, so your code must pause and resume it. A Beam sandbox ends with its timer unless you save an image or attach a volume. bochka has no cap and saves the disk every minute.

Agents, keys and hosting built in

On Beam secrets sit as environment variables an agent can read, and E2B's header injection is a private beta. bochka keeps keys in a proxy, ships seven agents, and serves 50 token-protected ports plus raw TCP, which neither offers.

Use bochka when your agents do real work for hours or days: installs, builds, Docker, emulators and a browser on a full VM whose disk is still there the next time it starts. Compare it one to one: bochka vs E2B and bochka vs Beam.

Questions people ask

Is E2B cheaper than Beam?

No. Beam costs less in all five scenarios on this page, for example $22 against $368 a month for one agent that never stops, and $410 against $2,773 a month for 50 agents in parallel. E2B's 24-hour cap also means it does not fit the always-on scenario.

Which is faster, E2B or Beam?

We cannot compare them on CPU work: E2B did 12.61 runs per second on the hpc-sandbox-benchmarks test at 4 vCPU / 8 GB, and Beam has no result there. bochka did 26.69 on the same test.

Is a Beam sandbox a VM like E2B?

Not by default. Beam sandboxes are containers using gVisor, while every E2B sandbox is a Firecracker microVM with its own kernel. Beam also sells separate CPU VMs with their own kernel and systemd.

Can E2B and Beam run Docker?

Yes, both run Docker inside a sandbox; Beam needs docker_enabled. Neither offers nested virtualization for Android emulators or VMs, which bochka has through /dev/kvm.

Does E2B have GPUs like Beam?

No. E2B is CPU only, as is bochka. Beam offers GPU sandboxes and serverless GPUs from RTX 4090 up to H100, H200 and B200.

Is bochka SOC 2 compliant?

SOC 2 is in progress. We're open about where we stand: live status at status.bochka.xyz and our data retention policy at docs.bochka.xyz/data-retention.

Try bochka

Install the CLI, then run bochka new.

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