Google Agent Runtime vs smol machines

Google Agent Runtime hosts your agent code on Google Cloud and gives it sandboxes that run as an unprivileged user in a locked container. smol machines gives each agent its own microVM with its own kernel and Docker inside, built on an open-source engine you can also run on your own laptop or servers.

The companies and products

Google Agent Runtime

Google Agent Runtime is the agent hosting part of Gemini Enterprise Agent Platform on Google Cloud, renamed from Vertex AI Agent Engine in April 2026.

It is a hyperscaler service, not a sandbox company. Agent Runtime deploys agents you build with ADK, LangGraph, LangChain, AG2 or LlamaIndex and bills them only while they work on a turn. Next to it, Agent Sandbox gives those agents a place to run code: a Code Execution sandbox, a shell or custom container sandbox, and a Computer Use browser. All of them run as secure containers inside your Google Cloud project.

smol machines

smol machines makes fast, isolated Linux microVMs that run the same way on your laptop, in their hosted cloud, or on your own servers.

The core is smolvm, an open-source microVM engine built on libkrun, where each machine has its own guest kernel. smol cloud is the paid hosted service that runs fleets of those machines behind a REST API and Node, Python and Rust SDKs. It is built for developers who want one VM model from local development to production, with live branching of running machines.

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. “28th cheapest of 366” means 27 of the other 365 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 workloadGoogle Agent Runtime: price ranksmol machines: price rankboat: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
smol machines runs Docker inside each microVM while Google's sandboxes have no root or Docker; boat adds /dev/kvm, SSH and coding agents on top of Docker.
295th of 367, with limits
$5,801 a month
73rd of 367, with limits
$604 a month
3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
Google hosts the agent loop and bills only working turns, but a sandbox is deleted when its TTL ends; smol machines has no lifetime cap, and boat adds a desktop and a credentials proxy.
28th cheapest of 366
$7,519 a month
148th of 366, with limits
$1,038 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: Google has a ready Python interpreter with no network, and smol machines has a one-minute minimum and a /code endpoint for Python and JavaScript.
254th of 345, with limits
$275 a month
12th cheapest of 345
$140 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
smol machines wakes a stopped machine on the next command, while Google sandboxes are reached only through its API or your VPC; boat gives each user HTTPS on up to 50 ports.
280th of 361, with limits
$1,916 a month
7th cheapest of 361
$531 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
Both can branch a sandbox with its memory, so many rollouts start from one prepared state; smol machines does it from a running machine.
128th of 360, with limits
$8,240 a month
111th of 360, with limits
$6,978 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
79th cheapest of 364
$2,060 a month
36th cheapest of 364
$670 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
CI jobs that build containers need Docker, which smol machines has and Google's unprivileged sandboxes do not; boat runs Docker and systemd on every VM.
98th cheapest of 377
$989 a month
66th cheapest of 377
$514 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
Neither offers SSH into a sandbox, so neither works well as a dev box you log into; boat gives you SSH and a desktop.
311th of 368, with limits
$241 a month
216th of 368, with limits
$29 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
Google gives you a ready browser with a VNC view and a click and type API, smol machines leaves you to run your own Chromium, and boat streams a full 60fps desktop.
283rd of 369, with limits
$1,648 a month
90th of 369, with limits
$156 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
102nd of 367, with limits
$824 a month
176th of 367, with limits
$136 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
53rd cheapest of 346
$515 a month
241st of 346, with limits
$242 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
210th of 338, with limits
$8,240 a month
148th of 338, with limits
$4,344 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
260th of 360, with limits
$412 a month
252nd of 360, with limits
$377 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
Can't run itCan'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

FeatureGoogle Agent Runtimesmol machinesboat
IsolationSecure container sandboxing inside your Google Cloud projectlibkrun microVM with its own guest kernelFull VM with its own kernel on dedicated AMD Ryzen 9 9950X hosts
Root and DockerRuns as appuser with no sudo; images must not need root; no Docker documentedDocker runs inside the VM, with its data on the machine's ext4 diskRoot, systemd and Docker on every machine
Nested virtualizationNo /dev/kvm documentedNot exposed in the cloud create API; a local smolvm flag onlyYes, /dev/kvm for Android emulators and VMs
Shell accessexecute_bash() API calls; each command runs in a new shell; no SSHCommand API, sessions and a WebSocket terminal capped at one hour per connection; no SSHSSH, plus a command API and terminal
How long a sandbox livesTTL of up to 7 days for a custom container and 14 days for Code ExecutionNo provider cap; an optional TTL you set yourselfNo session cap on paid plans
Files after a stopPause keeps the file system and costs less (rate not published); deleted when the TTL endsFilesystem survives a stop, memory paths like /tmp are emptied; stopped disk keeps billingDisk saved every minute and on stop; a stopped sandbox costs nothing
Branching with memorySnapshots keep memory and files; start many sandboxes from one snapshotBranch a running machine with its memory and processes; checkpoints capture RAM to a fileFork a running sandbox with its disk; the fork boots fresh
Reaching the sandboxThrough Google's API or a private endpoint in your VPC; no public URL documentedUp to 16 published ports through a returned URL or an authenticated connect routeHTTPS URLs for up to 50 ports, token-protected; raw TCP; dedicated IPv4 or IPv6
Outbound internetOff unless the template turns it on; can route through your VPC with Cloud NAT, a static IP or a firewallBlocked, open, or an allowlist of hosts and CIDR rangesOpen internet on every plan; no provider-side allowlist
Desktop and browserA browser in a container with a VNC live view, a click and type API and CDPNo hosted desktop; a guide shows running your own ChromiumLinux desktop streamed at 60fps, Chromium and computer use built in
Coding agentsManaged Agents API (Preview) runs Google's Antigravity harnessRegistry images with the Codex CLI and the Harbor eval harness, run through the command APIClaude Code, Codex, OpenCode and more preinstalled, with a prompt, steer and events API
Keeping API keys out of the sandboxYou provision and scope the credentials the agent usesCloud secrets are environment variables the guest can readCredentials proxy for model providers and any HTTPS API; switch to another account when credits run out
Hosting your agent codeDeploys ADK, LangGraph, LangChain, AG2 and LlamaIndex agents; idle time between turns is not billedNo managed agent hosting; you run your loop in a machineYou run your own agent loop inside a sandbox
Where it runs23 Google Cloud locations in the US, Europe, Asia, Canada, Australia and BrazilNo region choice in the cloud API; open-source smolvm runs on your own laptop or serversEU only: Germany, Finland, France, with EU data residency
Every feature Battleships tracks (43)
FeatureGoogle Agent Runtimesmol machinesboat
Full VM (own kernel)NoYesYes
Docker insideNoYesYes
Nested virtualizationNoNoYes
RootNoNot publishedYes
SystemdNot publishedNot publishedYes
Desktop GUINoNoYes
BrowserYesNoYes
Computer-use APIYesNoYes
SSHNoNoYes
Persistent diskYesYesYes
Pause/resumeYesYesYes
Automatic snapshotsYesNoYes
Fork/cloneYesYesYes
Live fork (no pause)YesYesYes
Memory forkYesYesNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopNoYesNo
Wake on requestNoYesNo
HTTPS preview URLsNoYesYes
Raw TCP inboundNot publishedNot publishedYes
Public IPv4NoNoNo
Egress allowlistYesYesNo
Secret proxyNoNoYes
Secret proxy for any APINoNoYes
Preinstalled agentsYesYesYes
Agent harness APIYesNoYes
MCP serverNoYesNo
GPUNoNoNo
WindowsNoNoNo
Arm64YesYesNo
Self-hostingNoYesNo
BYOCNoYesNo
Open sourceNoYesNo
Scoped API keysNot publishedNot publishedYes
Spend limitsNot publishedYesYes
Usage per sandbox (API)YesYesYes
Audit logsNot publishedNot publishedNo
SSOYesYesNo
SOC 2YesNoNo
HIPAAYesNoNo
EU data residencyYesNoYes
Zero data retentionNot publishedNot publishedYes

Performance

Google Agent RuntimeNot measured
smol machinesNot measured
boat26.69 runs/s

There is no comparable CPU measurement for Google Agent Runtime or smol machines: neither has been run on the StarSling hpc-sandbox-benchmarks CPU test. boat did 26.69 Node.js build-and-test runs per second on that test at 4 vCPU / 8 GB. smol machines publishes a boot time under 200ms for smolvm, which is a start-time figure, not CPU speed.

Node.js build-and-test loop at 4 vCPU / 8 GB, higher is better. Measured with the open hpc-sandbox-benchmarks suite. Google Agent Runtime and smol machines 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.

ScenarioGoogle Agent Runtime, a monthsmol machines, a monthboat, 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
$73 · Pay as you go$25 · Standard$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$301 · Pay as you go$93 · Standard$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
$3,626 · Pay as you go · with limits$1,139 · Pro$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
$1,030 · Pay as you go$465 · Startup$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
$2,060 · Pay as you go$1,389 · Startup$2,000 · $2000/mo · with limits

Google Agent Runtime: Google bills $0.085 per vCPU-hour and $0.009 per GiB-hour for what you allocate, with the first 50 vCPU-hours and 100 GiB-hours free each month. Sandboxes bill while they exist, and disk, egress and paused rates are not published.

smol machines: smol cloud charges a base fee for every hour a machine runs plus the CPU and memory the guest actually uses, with a one-minute minimum and disk billed even while stopped. Pro ($20 a month) and Startup ($150 a month) are fees on top of usage, not credit.

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

Limits in those scenarios

On Google, the 50-agent fleet does not fit because its sandboxes have no Docker inside, and every Google row leaves disk and egress unpriced because those rates are not published. A Google sandbox is also deleted when its TTL ends, 7 days at most for a custom container. smol machines caps machines by plan, 20 on Standard, 100 on Pro and 1,000 on Startup, with stopped machines still holding a slot, so the fleet needs Pro and the 1,000-job burst needs Startup. On boat the burst is the problem: the $2,000 plan queues starts above 90 a minute.

ScenarioGoogle Agent Runtimesmol machinesboat
One coding agent, workdays
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that biteNone that bite
One agent that never stops
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that biteNone that bite
50 agents in parallel
  • missing Docker inside
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that biteNone that bite
Sandboxes for your users
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that biteNone that bite
1,000 short jobs at once
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that bite
  • 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 Google Agent Runtime when

you build agents with ADK or LangGraph on Google Cloud and want them hosted inside your own project, network rules and regions, with short code runs in a locked sandbox.

  • A managed home for your agent code. Useful if you build agents with ADK or LangGraph: Agent Runtime hosts them and skips billing for idle time between turns.
  • Inside your Google Cloud network. Useful if agents must stay in a Google Cloud perimeter, with egress off by default and routed through your own firewall.
  • A ready browser and worldwide regions. Useful if you want a browser sandbox with a click and type API, running in the US, Europe or Asia.

Use smol machines when

you want each agent in its own microVM with Docker, live branches of a running machine with its memory, or one open-source engine from your laptop to your own servers.

  • A real VM with Docker inside. Useful if your agents build containers or need their own kernel: each smol machine is a microVM that runs Docker.
  • Live branches of a running machine. Useful for RL and test fan-out: branch a running machine with its memory and processes, paying the minimum once.
  • Open source, from laptop to your servers. Teams that want the same VM locally, in a hosted cloud and on their own servers can run one open-source engine.

Where boat fits

If your agents need a whole computer rather than a place to run code, look at boat. Google locks its sandboxes in a container with no root, and smol machines gives you a VM but no SSH, desktop or nested virtualization. boat gives every agent a full VM with root, Docker, /dev/kvm, a desktop and coding agents built in.

Root, Docker and /dev/kvm on one machine

On Google, sudo apt install and docker compose fail because commands run as appuser. smol machines runs Docker but hides /dev/kvm, so Android emulators and nested VMs cannot start. boat has root, Docker, systemd and /dev/kvm on every VM.

A desktop and public URLs for what agents build

Google's computer use is a browser only, reached through its API or your VPC, and smol machines has no hosted desktop and up to 16 ports. boat streams a 60fps desktop and serves HTTPS on up to 50 ports, with SSH and raw TCP.

Coding agents and keys handled for you

Google runs only its own Antigravity harness, and smol cloud puts secrets in environment variables the guest can read. boat ships Claude Code, Codex and more, driven from outside, with real keys kept out of the sandbox.

Use boat when your agents need a whole machine for real work: root, Docker, /dev/kvm, SSH, a desktop and public URLs on a full VM that keeps its disk, with coding agents you drive from outside. Compare it one to one: boat vs Google Agent Runtime and boat vs smol machines.

Questions people ask

Is Google Agent Runtime cheaper than smol machines?

Not in the five scenarios we priced. One coding agent on workdays comes to $25 a month on smol machines and $73 on Google, and one agent running all month comes to $93 versus $301. Google's numbers assume a sandbox that exists all those hours; a Runtime agent that sits idle between turns bills less.

Which is faster, Google Agent Runtime or smol machines?

We have no comparable CPU measurement for either. boat did 26.69 Node.js build-and-test runs per second on the StarSling CPU test at 4 vCPU / 8 GB. smol machines publishes a smolvm boot time under 200ms, which measures start time, not CPU speed.

Can Google Agent Runtime or smol machines run Docker?

smol machines can: Docker runs inside each microVM, with its data on the machine's ext4 disk. Google's sandboxes run as the unprivileged user appuser with no sudo, so Docker is not available. boat runs Docker, systemd and /dev/kvm on every VM.

Can I fork a running sandbox with its memory?

Both can. smol machines branches a running machine into children that keep its memory and processes, and Google can start many sandboxes from one snapshot that keeps memory and files. boat forks a running sandbox with its disk, and the fork boots fresh.

Can I self-host either one?

smol machines, yes: its smolvm engine is open source and runs on macOS, Linux and Windows hosts. Google Agent Runtime runs only on Google Cloud, inside your own project. boat is a hosted service in the EU.

Is boat SOC 2 compliant?

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

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