Google Agent Runtime vs Azure Container Apps Sandboxes

Google Agent Runtime hosts the agent code you build with ADK or LangGraph and runs its tools in locked containers where commands have no root or Docker. Azure Container Apps Sandboxes gives each agent a microVM with its own kernel and root, which can suspend with its memory and wake on traffic.

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.

Azure Container Apps Sandboxes

Azure Container Apps Sandboxes is a service inside Microsoft Azure that gives each agent or user an isolated microVM you create, suspend and resume through an SDK.

It is part of Azure Container Apps, the hyperscaler's serverless container platform, and lives in your Azure subscription as a sandbox group resource. Each sandbox boots from an OCI image or a snapshot, has its own kernel, and can be suspended with its memory and resumed in under a second. It is built for teams already on Azure that want stateful code execution with Azure networking, identity and billing.

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 rankAzure Container Apps Sandboxes: price rankboat: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
Google's sandboxes have no root or Docker and Azure's have no documented nested virtualization or SSH, so both are a compromise here; boat gives each agent root, Docker, /dev/kvm and SSH on a full VM.
295th of 367, with limits
$5,801 a month
288th of 367, with limits
$5,276 a month
3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
Google ranks 28th and fits this one fully, while Azure ranks 302nd; boat ranks 5th and also gives the assistant a desktop, a browser and SSH.
28th cheapest of 366
$7,519 a month
302nd of 366, with limits
$6,544 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
Azure is the better fit of the two for short code runs: its sandboxes suspend with their memory and resume in under a second, and Azure ranks 34th against Google's 254th.
254th of 345, with limits
$275 a month
34th cheapest of 345
$354 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
Azure ranks 22nd here, far ahead of Google at 280th, since it can publish HTTPS ports for each user sandbox; boat ranks 1st with HTTPS on up to 50 ports per sandbox.
280th of 361, with limits
$1,916 a month
22nd cheapest of 361
$2,260 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
128th of 360, with limits
$8,240 a month
153rd of 360, with limits
$10,740 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
75th cheapest of 364
$1,728 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
The two sit close together for CI; jobs that build containers need Docker, which Google's sandboxes do not offer and Azure offers only in images like azure-dev.
98th cheapest of 377
$989 a month
103rd cheapest of 377
$1,046 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
Neither gives you SSH: Google runs each command in a new shell through its API and Azure gives a shell through its own CLI and portal; boat gives you SSH and a desktop.
311th of 368, with limits
$241 a month
322nd of 368, with limits
$262 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 a browser with a VNC view and a click and type API, and Azure's sandboxes are headless; boat streams a full Linux desktop at 60fps.
283rd of 369, with limits
$1,648 a month
279th of 369, with limits
$1,573 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
Google ships a Chromium you can drive over CDP with Playwright, while on Azure you install a headless browser yourself; boat ships Chromium on a desktop in every sandbox.
102nd of 367, with limits
$824 a month
288th of 367, with limits
$795 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
284th of 346, with limits
$561 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
239th of 338, with limits
$10,956 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
278th of 360, with limits
$517 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 RuntimeAzure Container Apps Sandboxesboat
IsolationSecure container sandboxing inside your Google Cloud projectMicroVM per sandbox with its own kernelFull VM with its own kernel on dedicated AMD Ryzen 9 9950X hosts
Root, Docker and /dev/kvmRuns as appuser with no sudo; images must not need root; no Docker or /dev/kvm documentedRoot; Docker depends on the image (azure-dev ships it, the default ubuntu image has only Buildah); nested virtualization not documentedRoot, systemd, Docker and /dev/kvm on every machine
Getting a shellexecute_bash() API calls; each command runs in a new shell; no SSHInteractive shell through the aca CLI, SDK or portal; no SSHSSH, plus CLI and API exec
Desktop, browser and computer useA browser in a container with a VNC live view, a click, type and screenshot API, and CDPHeadless; no desktop or managed browserLinux desktop streamed at 60fps, Chromium and computer-use tools preinstalled
Inbound accessThrough Google's API or a private endpoint in your VPC; no public URL documentedPublic HTTPS routes per published port; private endpoint from your VNet; no public IPHTTPS URLs for up to 50 ports, token-protected; raw TCP; dedicated IPv4 or IPv6
Memory snapshots and forksSnapshots keep memory and files; start many sandboxes from one snapshotSuspend with memory and resume in under a second; snapshot a running sandbox to seed new onesFork a running sandbox with its disk; resume reboots from disk
Idle handlingSandboxes are billed while they exist; pause keeps files at a lower, unpublished rateAuto-suspend after an idle timeout (5 minutes by default); traffic or a start command wakes itAuto-stop timer you set; disk saved every minute and on stop; a stopped sandbox costs nothing
How long a sandbox livesTTL of up to 7 days for a custom container and 14 days for Code ExecutionNo maximum runtime documentedNo session cap on paid plans
Outbound internetOff unless the template turns it on; route through your VPC with Cloud NAT, a static IP, Cloud NGFW or Secure Web ProxyEgress policy with allow, deny, rewrite and header rules by host, path and method; VNet integrationOpen internet on every plan; no provider-side allowlist
Coding agentsManaged Agents API (Preview) runs Google's Antigravity harnessCopilot CLI and Claude Code images, run through the exec APISeven agents preinstalled, including Claude Code and Codex, with a prompt, steer and events API
Keeping AI keys out of the sandboxYou provision and scope the credentials the agent usesGroup secrets usable in egress header rules; Copilot and Anthropic tokens injected into the sandbox at startupCredentials proxy for model providers and any HTTPS API you register; switch to another account when credits run out
Hosting your agent codeAgent Runtime deploys ADK, LangGraph, LangChain, AG2 and LlamaIndex agents; idle time between turns is not billedNo agent hosting service; you run your code inside sandboxesYou run your own agent loop inside a sandbox
Scaling up a fleetRuntime scales from 1 to 1,000 instances; sandboxes need project quota500 concurrent active cores by default; more by Azure support requestConcurrency set by plan, up to 2,000 sandboxes, self-serve
Regions23 locations in the US, Europe, Asia, Canada, Australia and Brazil40 Azure regions, 9 of them in the EUEU only: Germany, Finland, France
Every feature Battleships tracks (43)
FeatureGoogle Agent RuntimeAzure Container Apps Sandboxesboat
Full VM (own kernel)NoYesYes
Docker insideNoYesYes
Nested virtualizationNoNoYes
RootNoYesYes
SystemdNot publishedYesYes
Desktop GUINoNoYes
BrowserYesNoYes
Computer-use APIYesNoYes
SSHNoNoYes
Persistent diskYesYesYes
Pause/resumeYesYesYes
Automatic snapshotsYesYesYes
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 publishedNoYes
Public IPv4NoNoNo
Egress allowlistYesYesNo
Secret proxyNoYesYes
Secret proxy for any APINoYesYes
Preinstalled agentsYesYesYes
Agent harness APIYesNoYes
MCP serverNoNoNo
GPUNoNoNo
WindowsNoNoNo
Arm64YesNoNo
Self-hostingNoNoNo
BYOCNoNoNo
Open sourceNoNoNo
Scoped API keysNot publishedNot publishedYes
Spend limitsNot publishedYesYes
Usage per sandbox (API)YesYesYes
Audit logsNot publishedYesNo
SSOYesYesNo
SOC 2YesYesNo
HIPAAYesYesNo
EU data residencyYesYesYes
Zero data retentionNot publishedNot publishedYes

Performance

Google Agent RuntimeNot measured
Azure Container Apps SandboxesNot measured
boat26.69 runs/s

There is no comparable CPU measurement for Google Agent Runtime or Azure Container Apps Sandboxes, so this page makes no speed claim between them. boat did 26.69 Node.js build-and-test runs per second at 4 vCPU / 8 GB in StarSling's public run of 2026-09-29, a test neither of the other two was part of.

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 Azure Container Apps Sandboxes 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 monthAzure Container Apps Sandboxes, 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$68 · Pay-as-you-go$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$262 · Pay-as-you-go · with limits$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$3,421 · Pay-as-you-go$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$989 · Pay-as-you-go$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$2,148 · Pay-as-you-go$2,000 · $2000/mo · with limits

Google Agent Runtime: Google bills $0.085 per vCPU-hour and $0.009 per GiB-hour allocated, with the first 50 vCPU-hours and 100 GiB-hours free each month. Runtime skips idle time between turns, but sandboxes are billed while they exist, and disk and egress rates are not published.

Azure Container Apps Sandboxes: Azure bills per second on the Container Apps Consumption meters for the vCPU and memory of the sandbox's tier while it runs, idle time before auto-suspend included. There is no plan fee, and some regions such as West Europe and UK South charge more.

Azure Container Apps Sandboxes: Plans start at $20 a month, and the whole fee is usage credit spent per second on running sandboxes. A stopped sandbox costs nothing and keeps its disk.

Limits in those scenarios

On Google, a sandbox is deleted when its TTL ends, 7 days at most for a custom container, and the 50-agent fleet does not fit because there is no Docker inside. On Azure, the always-on agent only gets close with a 3-year commitment, and a default quota of 500 active cores caps a fleet until support raises it. boat's start limits are the tight ones for the 1,000-job burst: the $2,000 plan queues starts above 90 a minute.

ScenarioGoogle Agent RuntimeAzure Container Apps Sandboxesboat
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
  • 3-year commitment
None 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 in your own project, with short code runs and a browser in a locked sandbox behind your network rules.

  • A managed home for your agent code. If you build agents with ADK or LangGraph, Agent Runtime hosts them and does not bill idle time between turns.
  • A browser agents can drive. Its Computer Use sandbox gives agents a browser with a VNC live view, a click and type API, and CDP for Playwright.
  • Egress locked down by default. Outbound internet is off unless a template turns it on, and it can leave through your VPC with a static IP.

Use Azure Container Apps Sandboxes when

your team already runs on Azure and wants microVMs with root that suspend with their memory, wake on traffic and sit behind fine-grained egress rules.

  • A microVM with root. Each sandbox has its own kernel and root, and images like azure-dev ship Docker on systemd.
  • Memory suspend and wake on traffic. Idle sandboxes suspend with their memory and resume in under a second when traffic or a start command arrives.
  • No session cap and public ports. A sandbox runs until you stop it or it goes idle, and it can publish HTTPS routes per port.

Where boat fits

Google and Azure both run agents inside a hyperscaler account, and both are built for short tool calls more than for agents that work like a person at a computer. If your agents install tools, run Docker and emulators, open a browser on a screen or serve what they build, boat gives each one a full VM that keeps its disk.

Root, Docker and /dev/kvm on every VM

Google runs commands as appuser with no sudo or Docker, so the 50-agent fleet does not fit there. On Azure, Docker means picking an image like azure-dev, and nested virtualization for Android emulators is not documented.

A screen, SSH and public ports

Google gives only a browser and no public URL; Azure is headless with HTTPS routes and no SSH. Each needs work around it: a VPC endpoint or tunnel on Google, your own display and streaming stack on Azure.

Coding agents driven from outside, keys kept out

Google's Managed Agents API is in Preview and runs only Antigravity. Azure's Claude Code image runs through raw exec with tokens injected into the sandbox, where prompt injection can read them. boat's proxy keeps keys outside.

Use boat when your agents need a whole computer: root, Docker, /dev/kvm, SSH, a 60fps desktop and public ports on a full VM that keeps its disk, with coding agents and a credentials proxy built in. Compare it one to one: boat vs Google Agent Runtime and boat vs Azure Container Apps Sandboxes.

Questions people ask

Is Google Agent Runtime cheaper than Azure Container Apps Sandboxes?

They are close. Azure comes out a little lower in most of our scenarios: one coding agent on workdays is $68 a month on Azure and $73 on Google, and sandboxes for your users are $989 against $1,030. For 1,000 short jobs at once Google is lower, $2,060 against $2,148. boat comes to $20 a month and $200 a month for those first two.

Which is faster?

Neither Google Agent Runtime nor Azure Container Apps Sandboxes has a comparable CPU measurement, so we cannot say. boat did 26.69 runs per second on StarSling's Node.js build-and-test loop at 4 vCPU / 8 GB.

Can Google Agent Runtime or Azure Container Apps Sandboxes run Docker?

Google's sandboxes cannot: commands run as appuser with no sudo, and images must not need root. On Azure it depends on the image: azure-dev ships Docker on systemd, while the default ubuntu image has only Buildah. boat runs Docker and /dev/kvm on every sandbox.

Can I SSH into either one?

No. Google runs each command in a new shell through its execute_bash() API, and Azure gives an interactive shell through the aca CLI, the SDK or the portal. Every boat sandbox has SSH.

Can a sandbox keep its memory when it stops?

Both can. Google snapshots keep memory and files, and Azure suspends a sandbox with its memory and resumes it in under a second, waking on traffic. boat saves the disk every minute and on stop, but resuming boots the machine again.

Where do they run?

Google runs in 23 locations across the US, Europe, Asia, Canada, Australia and Brazil, and Azure in 40 regions, 9 of them in the EU. boat runs only in the EU, in Germany, Finland and France.

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