Beam vs Agent 37

Beam is a serverless GPU platform whose sandboxes are short-lived gVisor containers you start from code. Agent 37 hosts one always-on agent per user, in a gVisor sandbox that sleeps when idle, keeps its memory and wakes on the next message.

The companies and products

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.

Agent 37

Agent 37 hosts AI agents, one isolated, always-on sandbox per user, behind one API.

You create an instance from a template (Hermes, OpenClaw, Claude Code, Codex, OpenCode, Pi, Grok or your own Docker image) and talk to it through a chat API, files, exec, SSH and HTTPS URLs. The default instance is a container enforced by gVisor; a VM type gives a full Linux machine with its own kernel for Docker, Kubernetes and Android emulators. It is built for companies that give each of their customers an agent.

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. “8th cheapest of 345” means 7 of the other 344 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 workloadBeam: price rankAgent 37: price rankbochka: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
Beam sandboxes run Docker with docker_enabled but have no systemd, and Agent 37 needs its VM type for Docker, which has no init system; bochka gives every sandbox Docker, systemd and /dev/kvm.
69th of 367, with limits
$551 a month
2nd cheapest of 367
$551 a month
3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
Agent 37 is built for this: one always-on assistant per user that sleeps when idle, keeps its memory and wakes on the next message, while a Beam sandbox ends with its time to live.
115th of 366, with limits
$651 a month
Cheapest of 366
$279 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 suit short code runs: Beam sandboxes cold-boot in 1 to 3 seconds and bill per second, and Agent 37's small default instances bill per minute.
8th cheapest of 345
$117 a month
Cheapest of 345
$22 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
Beam's Team plan runs 1,000 CPU containers at once, while Agent 37 stops at 200 instances on its top self-serve tier, counting sleeping and stopped ones; bochka plans go up to 2,000 at once.
3rd cheapest of 361
$290 a month
30th of 361, with limits
$79 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
341st of 360, with limits
$939 a month
6th of 360, with limits
$363 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
13th cheapest of 364
$251 a month
90th of 364, with limits
$58 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
Builds that need /dev/kvm, such as Android emulators, work on Agent 37's VM type and in every bochka sandbox; Beam documents no /dev/kvm.
12th cheapest of 377
$171 a month
2nd cheapest of 377
$84 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
13th cheapest of 368
$21 a month
3rd cheapest of 368
$12 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
Agent 37 adds a noVNC desktop through a template build, Beam has no desktop or browser product, and bochka streams a 60fps desktop with Chromium in every sandbox.
111th of 369, with limits
$237 a month
Cheapest of 369
$53 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
195th of 367, with limits
$176 a month
48th of 367, with limits
$29 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
200th of 346, with limits
$131 a month
Cheapest of 346
$32 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
42nd of 338, with limits
$923 a month
36th of 338, with limits
$648 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
175th of 360, with limits
$155 a month
Cheapest of 360
$43 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
Only Beam fits here, with GPUs from T4 up to H100, H200 and B200; Agent 37 and bochka are CPU only.
Cheapest of 98
$458 a month
Can't run itCan'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

FeatureBeamAgent 37bochka
IsolationgVisor container by default for sandboxes; separate Beam VMs are CPU microVMs with their own kernelgVisor sandbox by default; full VM with its own kernel as an opt-in instance typeEvery sandbox is a full VM with its own kernel, on dedicated AMD Ryzen 9 9950X hosts
Docker insideYes, in sandboxes with docker_enabledOnly on the VM type, at 2.5x the default compute rateYes, in every sandbox
systemdOnly in Beam VMs, not in sandboxesNo init system; your entrypoint is PID 1, even on the VM typesystemd and root, like a normal Ubuntu server
Nested virtualizationNot documented/dev/kvm on the VM type, with a ready Android template/dev/kvm in every sandbox, Android emulators work
GPUsGPU sandboxes and serverless GPUs, from T4 up to H100, H200 and B200No GPUsNo, CPU only
Lifetime and idleDefault time to live 10 minutes; set -1 to run until you terminate it; no sleep on idleRuns until you stop it; opt-in auto-sleep after a quiet period, wakes on the next requestNo session cap on paid plans; a time limit you set (default 1 hour), or no limit
State between runsSave a filesystem image or memory snapshot, or attach a volume; a Beam VM keeps a 50 GiB root disk while stoppedMemory checkpointed on auto-sleep; disk kept and billed while stopped or asleepDisk saved every minute and on stop; a stopped sandbox keeps it for free
Fork and snapshotsMemory snapshot of a running sandbox with its processes, restored into new sandboxesNo fork; daily backups plus one on-demand backup, restored in place onlyFork a running sandbox with its disk; named snapshots as shareable templates
Built-in agentsNone preinstalled; you install and run them through process execTemplates for Hermes, OpenClaw, Claude Code, Codex, Grok, OpenCode and Pi, with a chat API per instanceSeven agents preinstalled, including Claude Code and Codex, with a prompt, steer and events API
Desktop and browserNo desktop or browser productnoVNC desktop through a template build or the Ubuntu VM templateLinux desktop streamed at 60fps with Chromium and computer use
Inbound accessPublic HTTPS URL per exposed port with no built-in auth; no raw TCP or dedicated IPHTTPS URL per port, signed URLs, custom domains; no public IP, SSH through a WebSocket tunnelHTTPS URLs for up to 50 ports, token-protected by default; raw TCP; dedicated IPv4 or IPv6
Keeping API keys out of the sandboxSecrets are exposed as environment variables inside the sandboxManaged models, search and Composio through a per-instance token; your own keys go in as env varsCredentials proxy for model providers and any HTTPS API; switch a credential to another account when credits run out
Machines at once30 CPU containers on Developer, 1,000 on Team1 to 200 instances by lifetime top-ups, counting sleeping and stopped ones; email for moreSet by plan, up to 2,000 at once
RegionsUnited States onlyDedicated servers in the United StatesEU only (Germany, Finland, France), EU data residency
Every feature Battleships tracks (43)
FeatureBeamAgent 37bochka
Full VM (own kernel)NoNoYes
Docker insideYesNoYes
Nested virtualizationNoNoYes
RootYesYesYes
SystemdNoNot publishedYes
Desktop GUINoYesYes
BrowserNoYesYes
Computer-use APINoYesYes
SSHYesYesYes
Persistent diskYesYesYes
Pause/resumeNoYesYes
Automatic snapshotsNoYesYes
Fork/cloneYesYesYes
Live fork (no pause)YesYesYes
Memory forkYesNoNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopNoYesNo
Wake on requestNoYesNo
HTTPS preview URLsYesYesYes
Raw TCP inboundNoNot publishedYes
Public IPv4NoNoNo
Egress allowlistYesNoNo
Secret proxyNoYesYes
Secret proxy for any APINoNoYes
Preinstalled agentsNoYesYes
Agent harness APINoYesYes
MCP serverYesNoNo
GPUYesNoNo
WindowsNoNoNo
Arm64NoNoNo
Self-hostingYesNoNo
BYOCYesNoNo
Open sourceYesNoNo
Scoped API keysNot publishedNot publishedYes
Spend limitsNot publishedYesYes
Usage per sandbox (API)NoYesYes
Audit logsNot publishedNot publishedNo
SSONoNoNo
SOC 2YesYesNo
HIPAAYesNoNo
EU data residencyNot publishedNoYes
Zero data retentionNot publishedNot publishedYes

Performance

BeamNot measured
Agent 37Not measured
bochka26.69 runs/s

There is no comparable measurement for Beam or Agent 37: neither has a result on the StarSling hpc-sandbox-benchmarks CPU test, so we cannot say which is faster at CPU work. bochka did 26.69 runs per second on that test at 4 vCPU / 8 GB. Beam says its sandboxes cold-boot in 1 to 3 seconds, and Agent 37's default instances share host resources, with a Performance type on dedicated cores.

Node.js build-and-test loop at 4 vCPU / 8 GB, higher is better. Measured with the open hpc-sandbox-benchmarks suite. Beam and Agent 37 have 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.

ScenarioBeam, a monthAgent 37, 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
$5 · Developer$6 · Wallet (any top-up)$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$22 · Developer$12 · Wallet (any top-up)$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
$410 · Team$329 · Wallet ($100 lifetime top-ups)$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
$191 · Team$33 · Wallet ($250 lifetime top-ups) · with limits$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
$259 · Team$73 · Wallet ($250 lifetime top-ups) · with limits$2,000 · $2000/mo · with limits

Beam: Beam sandboxes bill per second for each CPU core (one core is two vCPU) and each GiB of RAM 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, with no usage credit, and egress is free.

Agent 37: A prepaid wallet with no plan fee, metered per minute: $0.80 per vCPU and $0.70 per GB of RAM per month while running, and $0.09 per GB of disk per month even while stopped or asleep. VM compute costs 2.5x and Performance compute 4x the default rate.

Agent 37: 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

Agent 37 holds at most 200 instances on its top self-serve tier, counting sleeping and stopped ones, so it cannot fit 300 user sandboxes or 1,000 short jobs at once, while Beam's Team plan fits both. Agent 37's 50-agent scenario needs Docker, so it is priced on the VM type at 2.5x. Beam's Developer plan allows 30 CPU containers, so 50 agents need Team, and Beam publishes no disk price, so no disk cost is counted for it. bochka's start limits queue the 1,000-job burst too.

ScenarioBeamAgent 37bochka
One coding agent, workdays
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that bite
One agent that never stops
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that bite
50 agents in parallel
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that bite
Sandboxes for your users
  • disk beyond 0 GiB: price unknown
  • max 200 concurrent
  • egress price not published
None that bite
1,000 short jobs at once
  • disk beyond 0 GiB: price unknown
  • max 200 concurrent
  • shared vCPUs on this tier: heavy, sustained CPU use can be slowed by other tenants
  • egress price not published
  • 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 Beam when

your agents need GPUs, when you run large bursts of short jobs, when sandboxes must be locked to a few networks, or when you want to self-host.

  • GPUs in the same platform. For work that needs a GPU, Beam offers GPU sandboxes and serverless GPUs from T4 up to H100, H200 and B200.
  • Large bursts and locked-down networks. Beam's Team plan runs 1,000 CPU containers at once, and a sandbox can block outbound traffic or allow only 10 CIDR ranges.
  • Open source and your own cloud. Its Beta9 runtime is AGPL-3.0 and free to self-host, and Beam can also run in your own cloud for a fee.

Use Agent 37 when

you host one mostly idle assistant per customer in the US that should sleep with its memory kept and wake on the next message.

  • Sleeps when idle and keeps its memory. For assistants that sit idle most of the day, an instance sleeps, keeps its memory and wakes on the next message.
  • One ready agent per customer. Templates for Hermes, OpenClaw, Claude Code and others come with a chat API, so each customer gets an agent quickly.
  • Low cost to keep a machine running. Agent 37 meters per minute from a prepaid wallet with no plan fee, and is the cheapest here for one agent that never stops.

Where bochka fits

Beam and Agent 37 both start you in a gVisor container in the US. If your agents do real work for hours, with installs, Docker, services and emulators, bochka gives each one a full VM with a desktop, agents and a credentials proxy built in, hosted in the EU.

A full VM by default

A Beam sandbox has no systemd and documents no /dev/kvm. On Agent 37, Docker needs the VM type at 2.5x the compute rate, and even that has no init system, so services do not start on their own.

A disk that waits for free

A Beam sandbox ends with its time to live, 10 minutes by default, unless you save an image or attach a volume. Agent 37 keeps the disk but bills it while stopped or asleep. bochka saves the disk every minute and a stopped sandbox costs nothing.

Keys stay outside, for any API

On Beam, secrets sit as environment variables inside the sandbox, and on Agent 37 your own keys do too, where one prompt injection can leak them. bochka's proxy keeps real keys outside for model providers and any HTTPS API.

Use bochka when your agents do real work for hours: installs, builds, Docker, emulators and a browser on a full VM whose disk is still there, free, the next time it starts. Compare it one to one: bochka vs Beam and bochka vs Agent 37.

Questions people ask

Is Beam cheaper than Agent 37?

Agent 37's bill is lower in four of the five scenarios, such as $12 against $22 a month for one agent that never stops and $329 against $410 for 50 agents in parallel. But in two of those, 300 user sandboxes and 1,000 short jobs at once, Agent 37's 200-instance cap means it does not fit, while Beam's Team plan does.

Which is faster, Beam or Agent 37?

There is no comparable CPU measurement for either one, so we cannot say. Beam's sandboxes cold-boot in 1 to 3 seconds, and Agent 37 wakes a sleeping instance from its checkpoint in a few seconds. bochka did 26.69 runs per second on the hpc-sandbox-benchmarks CPU test.

Can Beam and Agent 37 run Docker?

Beam runs Docker inside a sandbox with docker_enabled. Agent 37 runs Docker only on its VM type, at 2.5x the default compute rate; the default gVisor type cannot run a Docker daemon. bochka runs Docker in every sandbox, with systemd and /dev/kvm.

Do Beam or Agent 37 have GPUs?

Beam does, from T4 up to H100, H200 and B200, in sandboxes and serverless endpoints. Agent 37 has no GPUs, and bochka is CPU only too.

What happens when the agent is idle?

Agent 37 can put an instance to sleep after a quiet period, save its memory and wake it on the next request. A Beam sandbox keeps running and billing until you terminate it or its time to live ends. bochka stops a sandbox at the time limit you set and keeps its disk for free.

Where do Beam and Agent 37 run?

Both run in the United States. bochka runs only in the EU, in Germany, Finland and France, with EU data residency.

Try bochka

Install the CLI, then run bochka new.

Product preview

More comparisons

Bochka product preview · Pricing, benchmarks and commands are illustrative. Sandbox provisioning is not connected.