Daytona vs Google Agent Runtime

Daytona is a sandbox cloud: you create containers or VMs with root, Docker, SSH and preview URLs, and add GPUs or Windows when you need them. Google Agent Runtime, once called Vertex AI Agent Engine, hosts your agent code on Google Cloud and gives it sandboxes that run as an unprivileged user with no Docker.

The companies and products

Daytona

Daytona is a cloud for running AI-generated code: you create sandboxes from code through its API and SDKs.

By default a Daytona sandbox is a Linux container with its own namespaces and reserved vCPU, memory and disk. You can also pick a Linux VM class (pause, fork, memory snapshots, /dev/kvm), a Windows VM class, or a GPU class with Nvidia and AMD cards. It is built for teams that run agent code, code interpreters and evals through Python, TypeScript, Ruby, Go or Java SDKs.

Founded
2023

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.

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. “15th cheapest of 367” means 14 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 workloadDaytona: price rankGoogle Agent Runtime: price rankbochka: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
Daytona fits, with root and Docker in every class; Google's sandboxes have no sudo or Docker, so installs and compose stacks fail there, and bochka has both plus /dev/kvm on every VM.
15th cheapest of 367
$4,111 a month
295th of 367, with limits
$5,801 a month
3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
All three fit, but a Google sandbox is deleted when its TTL ends (7 days at most for a custom container), while Daytona and bochka have no default session cap.
24th cheapest of 366
$6,104 a month
28th cheapest of 366
$7,519 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
Daytona fits short runs best here: it creates up to 600 sandboxes a minute on Tier 4, while Google's Code Execution sandbox is a ready Python interpreter with no network.
25th cheapest of 345
$271 a month
254th of 345, with limits
$275 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
300 sandboxes of 2 vCPU need 600 vCPU, more than Daytona's Tier 4 pool of 500, and Google fits the size but gives your users no public URL; bochka serves HTTPS on up to 50 ports per sandbox.
154th of 361, with limits
$2,000 a month
280th of 361, with limits
$1,916 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
130th of 360, with limits
$8,261 a month
128th of 360, with limits
$8,240 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
189th of 364, with limits
$2,000 a month
79th cheapest of 364
$2,060 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
308th of 377, with limits
$805 a month
98th cheapest of 377
$989 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
Google has no SSH into a sandbox and runs each command in a new shell, while Daytona and bochka both let you SSH in.
183rd of 368, with limits
$245 a month
311th of 368, with limits
$241 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
Daytona has a VNC desktop and a computer-use API on Linux and Windows, Google gives you only a browser, and bochka streams a 60fps desktop with Chromium.
26th cheapest of 369
$1,198 a month
283rd of 369, with limits
$1,648 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
All three run a real Chromium you can drive over CDP; Google keeps outbound internet off unless the template turns it on, and Daytona opens it from Tier 3.
93rd of 367, with limits
$598 a month
102nd of 367, with limits
$824 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
38th cheapest of 346
$404 a month
53rd cheapest of 346
$515 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
202nd of 338, with limits
$8,073 a month
210th of 338, with limits
$8,240 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
12th cheapest of 360
$2,000 a month
260th of 360, with limits
$412 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 Daytona fits: it rents Nvidia and AMD GPUs by the hour, and neither Google's sandboxes nor bochka have GPUs.
20th cheapest of 98
$1,190 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

FeatureDaytonaGoogle Agent Runtimebochka
IsolationContainer by default; Linux VM and Windows VM classes have their own kernelSecure container sandboxing inside your Google Cloud projectEvery sandbox is a full VM with its own kernel
Root, Docker and nested virtualizationRoot and Docker in all classes; /dev/kvm only on Linux VMs, once KVM is turned on for your organizationRuns as appuser with no sudo; images must not need root; no Docker or /dev/kvm documentedRoot, systemd, Docker and /dev/kvm on every machine
CPU speed (Node.js build-and-test, 4 vCPU / 8 GB)21.52 runs/s on the Linux VM class; the default container class reported no resultNot measured26.69 runs/s
Reaching the sandboxHTTPS preview URLs on any port, token-protected or public; SSH; no raw TCP or public IPThrough Google's API or a private endpoint in your VPC; no SSH or public URL documentedHTTPS URLs for up to 50 ports, token-protected; raw TCP; SSH; dedicated IPv6 or IPv4
Desktop and computer useVNC desktop (xfce4) and a computer-use API on Linux and WindowsA browser only, with a VNC live view, a click, type and screenshot API, and CDP60fps desktop and Chromium, computer use and browser control, embeddable stream
Files after a stopThe disk is kept and billed while stopped; archived containers are freePause keeps files at a lower, unpublished rate; the sandbox is deleted when its TTL endsSnapshots every minute and on stop; a stopped sandbox costs nothing
Memory snapshots and branchingLinux VM and Windows classes pause and fork with memory kept; containers cannotSnapshots keep memory and files in every sandbox; start many sandboxes from oneFork a running sandbox; resume reboots from disk (no memory snapshots)
How long a sandbox livesNo default cap; a wall-clock TTL is optionalTTL of up to 7 days for a custom container and 14 days for Code ExecutionNo session cap on paid plans
Outbound internetTier 1 and 2 reach only registries, git hosts and AI APIs; Tier 3 and up get open internet plus per-sandbox allowlistsOff unless the template turns it on; can route through your VPC with Cloud NAT, a static IP, Cloud NGFW or Secure Web ProxyOpen internet on every plan; no provider-side allowlist
Coding agentsGuides install agents and run them through process execManaged Agents API (Preview) runs Google's Antigravity harness; no other coding harness namedClaude Code, Codex, OpenCode and more preinstalled, with a prompt, steer and events API
Keeping keys out of the sandboxSecrets proxy swaps placeholders in HTTPS request headers for allowed hostsYou provision and scope the credentials the agent usesAI credentials proxy for model providers and any HTTPS API you register; switch a credential to another account when credits run out
Hosting your agent codeSandboxes only; you run your agent loop yourselfAgent Runtime deploys ADK, LangGraph, LangChain, AG2 and LlamaIndex agents; idle time between turns is not billedYou run your own agent loop inside a sandbox
GPUs and WindowsNvidia and AMD GPUs on-demand or preemptible; Windows VM sandboxesNo GPUs or Windows sandboxesNo GPUs or Windows guests; Wine for Windows apps
RegionsUS and EU, plus dedicated regions or your own machines (BYOC)23 locations in the US, Europe, Asia, Canada, Australia and BrazilEU only: Germany, Finland, France
Every feature Battleships tracks (43)
FeatureDaytonaGoogle Agent Runtimebochka
Full VM (own kernel)NoNoYes
Docker insideYesNoYes
Nested virtualizationYesNoYes
RootYesNoYes
SystemdNot publishedNot publishedYes
Desktop GUIYesNoYes
BrowserYesYesYes
Computer-use APIYesYesYes
SSHYesNoYes
Persistent diskYesYesYes
Pause/resumeYesYesYes
Automatic snapshotsYesYesYes
Fork/cloneYesYesYes
Live fork (no pause)NoYesYes
Memory forkYesYesNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopYesNoNo
Wake on requestNoNoNo
HTTPS preview URLsYesNoYes
Raw TCP inboundNoNot publishedYes
Public IPv4NoNoNo
Egress allowlistYesYesNo
Secret proxyYesNoYes
Secret proxy for any APIYesNoYes
Preinstalled agentsYesYesYes
Agent harness APINoYesYes
MCP serverYesNoNo
GPUYesNoNo
WindowsYesNoNo
Arm64NoYesNo
Self-hostingNoNoNo
BYOCYesNoNo
Open sourceNoNoNo
Scoped API keysYesNot publishedYes
Spend limitsNot publishedNot publishedYes
Usage per sandbox (API)YesYesYes
Audit logsYesNot publishedNo
SSOYesYesNo
SOC 2YesYesNo
HIPAAYesYesNo
EU data residencyYesYesYes
Zero data retentionNot publishedNot publishedYes

Performance

Daytona21.52 runs/s
Google Agent RuntimeNot measured
bochka26.69 runs/s

In StarSling's public run of 2026-09-29 at 4 vCPU / 8 GB, bochka did 26.69 Node.js build-and-test runs per second and Daytona's Linux VM class did 21.52, so each build takes about a quarter longer on Daytona. Daytona's default container class reported no result. Google Agent Runtime and its sandboxes were not part of that run, so there is no comparable number for Google.

Node.js build-and-test loop at 4 vCPU / 8 GB, higher is better. Measured with the open hpc-sandbox-benchmarks suite. Daytona measured on: Linux VM sandbox (same rates; KVM / nested virt per-org feature). Google Agent Runtime 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.

ScenarioDaytona, a monthGoogle Agent Runtime, 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
$56 · Tier 3 ($500 top-up)$73 · Pay as you go$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$245 · Tier 3 ($500 top-up)$301 · Pay as you go$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
$2,682 · Tier 3 ($500 top-up)$3,626 · Pay as you go · with limits$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
$2,000 · Tier 4 ($2,000 top-up every 30 days) · with limits$1,030 · 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
$2,000 · Tier 4 ($2,000 top-up every 30 days) · with limits$2,060 · Pay as you go$2,000 · $2000/mo · with limits

Daytona: Daytona bills per second for the vCPU, memory and disk you reserve, and keeps billing the disk while a sandbox is stopped. You pay from a prepaid wallet: open internet needs a $500 top-up (Tier 3), and the biggest pool needs $2,000 every 30 days (Tier 4).

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.

Google Agent Runtime: You pick a monthly plan from $20, and all of it becomes usage credit spent per second on running sandboxes. A stopped sandbox costs nothing and keeps its disk.

Limits in those scenarios

Daytona limits the total vCPU running at once, 500 vCPU on Tier 4, so 300 sandboxes for your users (600 vCPU) and 1,000 short jobs at once (2,000 vCPU) need a custom limit. Google fits both of those sizes, but its 50-agent fleet does not fit because its sandboxes have no Docker inside, and its sandboxes are deleted when their TTL ends. Neither publishes an egress price, and Google leaves disk unpriced too. On bochka the 1,000-job burst is the problem: starts are capped at 90 a minute and 2,400 a day on the $2,000 plan, so the jobs get queued.

ScenarioDaytonaGoogle Agent Runtimebochka
One coding agent, workdays
  • egress price not published
  • Tier 1 (email verified), Tier 2 (card + $25 top-up) reach only an allowlist (package registries, git, AI APIs)
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that bite
One agent that never stops
  • egress price not published
  • Tier 1 (email verified), Tier 2 (card + $25 top-up) reach only an allowlist (package registries, git, AI APIs)
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that bite
50 agents in parallel
  • egress price not published
  • Tier 1 (email verified), Tier 2 (card + $25 top-up) reach only an allowlist (package registries, git, AI APIs)
  • missing Docker inside
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that bite
Sandboxes for your users
  • max 500 vCPU running at once (needs 600)
  • max 1,000 GiB running at once (needs 1,200)
  • egress price not published
  • Tier 1 (email verified), Tier 2 (card + $25 top-up) reach only an allowlist (package registries, git, AI APIs)
  • disk beyond 0 GiB: price unknown
  • egress price not published
None that bite
1,000 short jobs at once
  • max 500 vCPU running at once (needs 2,000)
  • max 1,000 GiB running at once (needs 4,000)
  • egress price not published
  • Tier 1 (email verified), Tier 2 (card + $25 top-up) reach only an allowlist (package registries, git, AI APIs)
  • disk beyond 0 GiB: price unknown
  • 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 Daytona when

your agents need root, Docker and SSH in a sandbox you create by API, or GPUs, Windows, the US or your own machines.

  • Root, Docker and SSH. Useful if your agents install packages and build containers: Daytona gives root and Docker in every class, where Google's sandboxes have no sudo.
  • GPUs and Windows. Useful if agents test models or need a Windows desktop: Daytona rents Nvidia and AMD GPUs and runs Windows VM sandboxes.
  • Sandboxes that keep running. Useful for long-lived agents: a Daytona sandbox has no default time limit, while a Google custom container is deleted after 7 days at most.

Use Google Agent Runtime when

you build agents with ADK or LangGraph on Google Cloud and want them hosted inside your own project and network, 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.
  • Memory snapshots and 23 locations. Useful if you branch sandboxes with their memory, or need to run in Asia, Canada, Australia or Brazil.

Where bochka fits

If your agents do real work for hours, like installs, builds, tests, Docker and emulators, look at bochka too. Every bochka sandbox is a full VM with root, Docker, /dev/kvm, a desktop and coding agents built in, and it was faster than Daytona's VM class in the same CPU test. Daytona gets you most of the way with its VM class, and Google's locked sandboxes stop short of it.

A full VM, not a container

Daytona's default is a container on a shared kernel; you need its VM class, and KVM turned on for your organization, to get /dev/kvm. Google's sandboxes run with no sudo and no Docker, so you bake every tool into an image ahead of time.

Public URLs and raw TCP for what agents build

Daytona gives HTTPS previews but no raw TCP or public IP. Google documents no public URL at all, so showing a preview to someone outside your project means setting up a VPC endpoint, load balancer or tunnel yourself.

Coding agents you drive from outside

On Daytona you install Claude Code or Codex and run it as a process. Google runs only its own Antigravity harness, in Preview. bochka ships both preinstalled with a prompt, steer and events API, and its credentials proxy can switch accounts when credits run out.

Use bochka when your agents need a real computer for hours: root, Docker, /dev/kvm, SSH, a desktop and public URLs on a full, faster VM with coding agents built in. Compare it one to one: bochka vs Daytona and bochka vs Google Agent Runtime.

Questions people ask

Is Daytona cheaper than Google Agent Runtime?

In most scenarios we priced, yes: one coding agent on workdays comes to $56 a month on Daytona and $73 on Google, and one agent running all month $245 versus $301. Google is cheaper for sandboxes for your users, $1,030 versus $2,000, where Daytona also needs a higher limit. bochka comes to $20, $26 and $200 a month for those three.

Which is faster, Daytona or Google Agent Runtime?

Only Daytona has a measured number: its Linux VM class did 21.52 Node.js build-and-test runs per second at 4 vCPU / 8 GB. Google's sandboxes were not in that benchmark. bochka did 26.69 in the same run.

Can Google Agent Runtime run Docker like Daytona?

No. Google's shell sandbox runs commands as the unprivileged user appuser with no sudo, and custom images must not need root, so Docker is not available. Daytona has Docker in all its classes, and bochka has Docker, root and /dev/kvm on every VM.

Is Google Agent Runtime the same as Vertex AI Agent Engine?

Yes. Google renamed Vertex AI Agent Engine to Agent Runtime in April 2026, as part of Gemini Enterprise Agent Platform. The code, shell and browser sandboxes are a separate part of the same platform called Agent Sandbox.

Do Daytona or Google Agent Runtime have GPUs?

Daytona does: it rents Nvidia and AMD GPUs from RTX 4090 to B300, on demand or preemptible. Google's agent sandboxes have no GPUs, and neither does bochka.

Where does my data run?

Daytona runs in the US and EU, plus dedicated regions and your own machines. Google runs in 23 locations across the US, Europe, Asia, Canada, Australia and Brazil. bochka runs only in the EU (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.