Vultr vs Contabo

Vultr and Contabo both rent you a KVM server with root that you set up yourself. Vultr bills by the hour and sits inside a larger cloud, while Contabo rents each server by the month at a very low flat rate.

The companies and products

Vultr

Vultr is a general-purpose cloud, and Cloud Compute is its line of KVM virtual servers.

A Vultr instance is a Linux or Windows VM you rent by size, with root, a public IPv4, local SSD or NVMe and a monthly transfer allowance. You choose shared vCPU plans (Regular, High Performance, High Frequency) or dedicated vCPU plans (Optimized Cloud Compute, VX1), and run your own software next to Vultr block storage, file systems, VPCs, Kubernetes, bare metal and GPUs. It is a server host, not an agent sandbox, so this page compares the two where they overlap: giving an agent its own Linux machine.

Contabo

Contabo is a German hosting company, founded in Munich in 2003, that rents VPS, dedicated-core VDS, GPU and dedicated servers by the month.

A Contabo Cloud VPS is a KVM virtual machine with shared vCPU cores, a fixed RAM allocation, a static IPv4 and root access, which you order, pay for and then manage yourself. It is a VPS host, not a sandbox product: there is no per-second billing, no agent tooling and no managed HTTPS in front of the server. It fits people who want one cheap server that runs all month in a region of their choice.

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. “47th cheapest of 364” means 46 of the other 363 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 workloadVultr: price rankContabo: price rankboat: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
A software factory starts and stops many machines; Vultr bills by the started hour and Contabo by the whole month, while boat bills per second and saves every minute.
114th of 367, with limits
$1,060 a month
79th of 367, with limits
$660 a month
3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
144th of 366, with limits
$1,000 a month
95th of 366, with limits
$330 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
None of the three fits short code bursts well: Vultr bills every started hour, Contabo bills a month, and boat's start limits queue big bursts.
168th of 345, with limits
$1,000 a month
159th of 345, with limits
$660 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
Hundreds of user sandboxes fit on Vultr after an instance limit raise by ticket, do not fit on Contabo, and fit on boat with up to 2,000 at once by plan.
98th of 361, with limits
$899 a month
153rd of 361, with limits
$1,980 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
Thousands of short rollouts are a poor fit for monthly rent on Contabo and for hourly minimums on Vultr; boat is a compromise too because of its start limits.
179th of 360, with limits
$20,000 a month
108th of 360, with limits
$6,600 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
Vultr fits agent evals fully because it bills by the hour, while Contabo makes each parallel machine a full month of rent.
47th cheapest of 364
$893 a month
177th of 364, with limits
$1,650 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
All three run Docker builds on a full VM; on Vultr and Contabo you also run the runner software and clean up between jobs, and Contabo rents each runner for the month.
91st cheapest of 377
$857 a month
133rd cheapest of 377
$2,980 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
Contabo ranks 1st here: one server running all month is exactly what its flat monthly rent is built for, and Vultr and boat also fit fully.
28th cheapest of 368
$40 a month
Cheapest of 368
$6.6 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
boat streams a 60fps desktop with Chromium for computer use; on both Vultr and Contabo the server is headless until you install and stream a desktop yourself.
252nd of 369, with limits
$1,190 a month
140th of 369, with limits
$330 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
300th of 367, with limits
$894 a month
232nd of 367, with limits
$330 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
175th of 346, with limits
$89 a month
258th of 346, with limits
$330 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
72nd of 338, with limits
$1,818 a month
184th of 338, with limits
$6,600 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
168th of 360, with limits
$150 a month
321st of 360, with limits
$1,320 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

FeatureVultrContaboboat
What you getA KVM cloud server you set up and run yourselfA KVM VPS rented by the month that you set up yourselfSandbox VMs for agents, started and stopped from an API
BillingHourly with a one hour minimum; most plans capped at 672 hours a monthMonthly rent, minimum first term of one month; listed prices assume a 24-month termMonthly plan from $20 that becomes usage credit, spent per second
StoppingA stopped instance is billed in full until you destroy itThe month's rent is the same whether the server is busy, idle or stoppedA stopped sandbox costs nothing and keeps its disk
CPUShared vCPU plans, or dedicated AMD EPYC vCPU on Optimized and VX1 plans; no comparable measurementShared vCPU cores on Cloud VPS, dedicated cores on Cloud VDS; no comparable measurementDedicated AMD Ryzen 9 9950X hosts; 26.69 runs/s at 4 vCPU / 8 GB
Docker and nested virtualizationRoot and Docker; virtualization documented for VX1 and bare metal, not for other Cloud Compute plansRoot, you install Docker; nested virtualization not supported on any VPS plan, supported on Cloud VDSDocker, root, systemd and /dev/kvm on every machine
SnapshotsManual disk snapshots that can take up to 30 minutes, $0.05 per GB-month; paid scheduled backups1 to 5 manual snapshot slots by plan, kept 30 days, restored in place; none on Cloud VDSAutomatic snapshots every minute and on stop
Copying a machineSnapshot the disk, then deploy new instances from itNo fork; custom images upload as ISO or QCOW2Fork a running sandbox in one call; named snapshots as templates
Reaching the machinePublic IPv4 on any port; HTTPS needs your own domain, proxy and certificatesStatic IPv4 and a /64 IPv6 on all ports; domains and TLS are yours to set upHTTPS URLs for up to 50 ports, token-protected; raw TCP; own IP
Desktop and computer useHeadless Linux; you install a desktop and VNC yourselfHeadless server; a VNC console for setup and rescue60fps desktop and Chromium, computer use and browser control, embeddable stream
Coding agentsNone; you install and supervise agents yourselfNone built in; 1-Click images for apps like n8n, Ollama and OpenClawClaude Code, Codex, OpenCode and more preinstalled, driven from outside with a prompt, steer and events API
Keeping keys out of the machineNo credentials proxy; secrets live on the serverNone; secrets live inside the serverAI credentials proxy for model providers and any HTTPS API you register
Cloud around the serverBlock storage, shared file systems, VPCs, Kubernetes and bare metal in one accountVPS, VDS, GPU and dedicated servers, with add-on storage and private networkingA sandbox product, not a full cloud
GPUs and WindowsNvidia L40S, A100, H100, GH200, B200 and AMD MI300X, MI325X, MI355X; Windows Server for a license feeGPU VPS with an Nvidia RTX PRO 6000 Blackwell; Windows Server as a licensed add-onNo GPUs; Linux guests only, Wine for Windows apps
Regions33 locations on six continents11 locations: EU, UK, US, Singapore, Japan, India and AustraliaEU only: Germany, Finland, France
Every feature Battleships tracks (43)
FeatureVultrContaboboat
Full VM (own kernel)Not publishedYesYes
Docker insideYesYesYes
Nested virtualizationNot publishedNoYes
RootYesYesYes
SystemdYesYesYes
Desktop GUINoNoYes
BrowserNoNoYes
Computer-use APINoNoYes
SSHYesYesYes
Persistent diskYesYesYes
Pause/resumeNoNoYes
Automatic snapshotsNoNoYes
Fork/cloneYesNoYes
Live fork (no pause)Not publishedNoYes
Memory forkNoNoNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopNoNoNo
Wake on requestNoNoNo
HTTPS preview URLsNoNoYes
Raw TCP inboundYesYesYes
Public IPv4YesYesNo
Egress allowlistNoNoNo
Secret proxyNoNoYes
Secret proxy for any APINoNoYes
Preinstalled agentsNoNoYes
Agent harness APINoNoYes
MCP serverNot publishedNoNo
GPUYesYesNo
WindowsYesYesNo
Arm64NoNoNo
Self-hostingNoNoNo
BYOCNoNoNo
Open sourceNoNoNo
Scoped API keysNot publishedNot publishedYes
Spend limitsNot publishedNot publishedYes
Usage per sandbox (API)NoNoYes
Audit logsYesNot publishedNo
SSOYesNoNo
SOC 2Not publishedNoNo
HIPAANot publishedNoNo
EU data residencyYesYesYes
Zero data retentionNot publishedNot publishedYes

Performance

VultrNot measured
ContaboNot measured
boat26.69 runs/s

Neither Vultr nor Contabo is in the public StarSling hpc-sandbox-benchmarks run, so there is no comparable CPU measurement for them. boat did 26.69 Node.js build-and-test runs per second at 4 vCPU / 8 GB on dedicated AMD Ryzen 9 9950X hosts. Both Vultr and Contabo sell shared and dedicated vCPU lines, so results would depend on the plan you pick.

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

ScenarioVultr, a monthContabo, 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
$10 · Usage account$7 · Usage account$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$40 · Usage account$7 · Usage account$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
$524 · Usage account$330 · Usage account$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
$894 · Usage account$1,980 · Usage account · 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
$5,960 · Usage account$6,600 · Usage account · with limits$2,000 · $2000/mo · with limits

Vultr: Each Vultr plan has a fixed hourly price, billed by the started hour, and most plans are capped at 672 hours a month. Billing runs from deploy to destroy, including while the instance is stopped, and snapshots, backups and extra IPs cost extra.

Contabo: Contabo charges a flat monthly rent per server, with a minimum first term of one month and lower rates for longer terms. Each machine you need at the same time costs a full month's rent, even for a short burst.

Contabo: 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

Neither Vultr nor Contabo publishes how many servers a new account can run at once. Vultr shows your limit in the console and raises it by support ticket, so 300 user sandboxes and 1,000 short jobs fit on price but likely need a ticket first. Contabo does not confirm those counts, so both scenarios do not fit there, and its Cloud VPS cores are shared, so heavy sustained CPU use can slow down. On boat, concurrency goes from 100 to 2,000 by plan, but start-rate limits mean the 1,000-job burst gets queued even on the top plan.

ScenarioVultrContaboboat
One coding agent, workdaysNone that bite
  • monthly cap reached
None that bite
One agent that never stopsNone that biteNone that biteNone that bite
50 agents in parallelNone that bite
  • monthly cap reached
  • how many machines can run at once: limit not published, probably fine at 50 (the typical published limit is 50)
None that bite
Sandboxes for your usersNone that bite
  • not confirmed: how many machines can run at once (you need 300; the typical published limit is 50)
  • monthly cap reached
None that bite
1,000 short jobs at onceNone that bite
  • not confirmed: how many machines can run at once (you need 1,000; the typical published limit is 50)
  • shared vCPUs on this tier: heavy, sustained CPU use can be slowed by other tenants
  • monthly cap reached
  • 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 Vultr when

you want servers billed by the hour, regions on six continents, a wide choice of GPUs, or a machine that sits next to block storage, private networks and bare metal in one cloud.

  • Hourly billing. Useful when machines live for hours or days: Vultr bills by the hour, so a server you destroy stops costing money.
  • More regions. Useful if your users are spread out: Vultr runs in 33 locations, from Sao Paulo and Johannesburg to Tokyo and Sydney.
  • A wider cloud and more GPUs. Useful if the server must sit next to block storage, shared file systems, Kubernetes, bare metal or Nvidia and AMD GPUs.

Use Contabo when

you want one cheap server that runs all month, a single RTX PRO 6000 GPU server, or Windows Server, and you are happy to set it up yourself.

  • One cheap server all month. Useful for one always-on box: a flat monthly rent buys a 4 vCPU / 8 GB Cloud VPS with a static IPv4.
  • Built-in snapshot slots. Useful for a single long-lived server: Cloud VPS plans include 1 to 5 snapshot slots, kept for 30 days.
  • Nested virtualization on VDS. Useful if you need KVM inside the server: Contabo's Cloud VDS line with dedicated cores supports nested virtualization.

Where boat fits

Vultr and Contabo are server hosts, not agent sandboxes. If what you are really running is agents that start, stop and fork machines all day, boat gives each one a full VM from an API in seconds, saved every minute, with coding agents, a desktop and HTTPS ports already built in.

Disk saved every minute, and free stops

An idle Vultr instance is billed until you destroy it, and a Contabo server is rented for the month. Both rely on manual snapshots, so a bad agent step loses everything since the last one you took.

Fork a running machine

On Vultr you snapshot the disk, which can take up to 30 minutes, then deploy copies; Contabo has no fork at all. boat forks a running sandbox in one call for parallel attempts.

Agents, desktop and HTTPS built in

Both hosts give you an empty headless server: you install agents, run a desktop over VNC, set up a domain and TLS, and store API keys on a disk the agent can read. boat ships all of that, with a credentials proxy.

Use boat when agents start, stop and fork machines all day: each sandbox is a full VM from an API in seconds, saved every minute, with a desktop, HTTPS ports and coding agents you drive from outside. Compare it one to one: boat vs Vultr and boat vs Contabo.

Questions people ask

Is Contabo cheaper than Vultr?

For one server that never stops, yes: $7 a month on Contabo against $40 on Vultr, and $26 on boat. For 50 agents in parallel it is $330 on Contabo against $524 on Vultr and $317 on boat. Sandboxes for your users come to $894 on Vultr and $200 on boat, and do not fit on Contabo.

Does Contabo bill by the hour like Vultr?

No. Contabo rents servers by the month with a minimum first term of one month. Vultr bills by the started hour, and boat bills per second while a sandbox runs.

Which is faster, Vultr or Contabo?

There is no comparable measurement for either: neither was in the public benchmark run where boat did 26.69 runs per second at 4 vCPU / 8 GB. Both sell shared vCPU plans and dedicated core plans, so speed depends on which line you choose.

Can Vultr and Contabo run Docker and nested VMs?

Both give you root on a KVM VM, so Docker works once you install it. Vultr documents virtualization for VX1 and bare metal only, and Contabo supports nested virtualization on Cloud VDS but not on any VPS plan. Every boat sandbox has Docker, systemd and /dev/kvm.

Can I copy a running server on Vultr or Contabo?

On Vultr you snapshot the disk, which can take up to 30 minutes, then deploy new instances from it. Contabo has no fork; its snapshots restore in place. boat forks a running sandbox in one call, without memory.

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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