Railway vs Claude Managed Agents

Railway is an app platform that also rents Linux VM sandboxes you run commands in and destroy when you are done. Claude Managed Agents is Anthropic's hosted agent: you send Claude a task as events, and it works in a container that Anthropic runs.

The companies and products

Railway

Railway is a cloud platform for deploying web apps, servers and databases, which now also sells sandboxes and cloud agents.

Railway's main product is app hosting: you deploy services and databases as containers on its own hardware. In 2026 it added Sandboxes, isolated Linux VMs you create from the CLI or a TypeScript SDK, run commands in and destroy, and Cloud Agents, a personal VM for running a coding agent, in early access. It suits teams already hosting on Railway who want throwaway machines next to their apps.

Claude Managed Agents

Claude Managed Agents is Anthropic's ready-made agent harness: Claude runs as an autonomous agent in a cloud sandbox that Anthropic manages, and you talk to it through an events API.

This is an agent platform, not a sandbox you rent. You define an agent (model, prompt, tools, MCP servers, skills) and an environment, then start sessions, send messages as events and stream back what Claude does; the harness handles tool calls, prompt caching and compaction. Each session gets its own Ubuntu container, or runs its tools on a worker you host yourself. It is built for teams that want Claude doing long tasks without building their own agent loop or sandbox.

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. “16th cheapest of 366” means 15 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 workloadRailway: price rankClaude Managed Agents: price rankboat: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
A software factory needs Docker and a disk that lasts; Railway destroys idle sandboxes, and a Managed Agents sandbox has at most 8 GB of memory and 10 GB of disk.
51st of 367, with limits
$342 a month
106th of 367, with limits
$964 a month
3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
Railway fits always-on assistants once the idle timeout is set to 0 or you use a Cloud Agent; Managed Agents sessions sleep for free, but sandbox state expires 30 days after creation.
16th cheapest of 366
$3,977 a month
219th of 366, with limits
$2,511 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
Railway suits short code runs because it bills for CPU used and destroys the sandbox after; Managed Agents runtime is cheap too, but every run sits inside a Claude session with tokens on top.
36th cheapest of 345
$413 a month
163rd of 345, with limits
$756 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
Railway allows 100 sandboxes per environment on Pro, and a Managed Agents sandbox has no inbound ports for your users to open; boat gives each sandbox HTTPS URLs on up to 50 ports.
42nd of 361, with limits
$290 a month
231st of 361, with limits
$823 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
78th of 360, with limits
$4,450 a month
252nd of 360, with limits
$3,978 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
108th of 364, with limits
$364 a month
244th of 364, with limits
$320 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
Railway's sandbox docs do not mention Docker and Managed Agents lists it as limited availability, while boat has Docker and /dev/kvm on every machine.
113th cheapest of 377
$1,210 a month
227th of 377, with limits
$96 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
Railway's Cloud Agents keep a disk but are early access and fixed at 4 vCPU / 4 GB on Pro; Managed Agents has no SSH at all.
66th cheapest of 368
$89 a month
224th of 368, with limits
$48 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
Neither has a desktop: Railway sandboxes are headless and Managed Agents ships headless Chromium only, while boat streams a full Linux desktop at 60fps.
77th of 369, with limits
$103 a month
127th of 369, with limits
$288 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 can script a browser; Managed Agents has Playwright with headless Chromium, and boat also shows the browser on a live desktop you can watch or take over.
53rd of 367, with limits
$93 a month
126th of 367, with limits
$288 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
60th cheapest of 346
$570 a month
127th of 346, with limits
$390 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
109th of 338, with limits
$2,988 a month
155th of 338, with limits
$4,798 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
43rd of 360, with limits
$574 a month
179th of 360, with limits
$160 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

FeatureRailwayClaude Managed Agentsboat
What it isAn app platform for services and databases, with VM sandboxes added in 2026A hosted Claude agent: Anthropic's harness runs Claude in a sandbox and you send it eventsA sandbox platform: each agent gets its own full Linux machine, with coding agents built in
IsolationEach sandbox is an isolated Linux VM; app services are containersAn isolated Linux container per sessionFull VM with its own kernel on dedicated AMD Ryzen 9 9950X hosts
Machine sizeUp to 8 vCPU / 8 GB on Hobby, 32 vCPU / 32 GB on ProUp to 8 GB memory and 10 GB disk; vCPU count not published; not configurable8 vCPU / 16 GB on the $20 plan, 16 vCPU / 32 GB from $100
When the sandbox goes idleDestroyed after the idle timeout (30 minutes by default); files survive only in checkpoints you takeCheckpointed and resumed on the next message, with idle time not billed; state kept only 30 days after the sandbox is createdYou stop it; the disk is kept, with snapshots every minute and on stop, and a stopped sandbox costs nothing
Docker, systemd and /dev/kvmRoot shell on Ubuntu; the sandbox docs do not mention Docker or /dev/kvmDocker in limited availability; root, systemd and /dev/kvm not documentedRoot, Docker, systemd and /dev/kvm on every machine
ForkFork a running sandbox's filesystem; boot new ones from disk checkpointsNo fork or clone of a session or sandboxFork a running sandbox with its disk; start new ones from named snapshots
Reaching the sandboxUp to 10 public HTTPS domains, set only at creation; SSH and port forwardingNo inbound ports or SSH; reached only through the sessions and events APIHTTPS URLs for up to 50 ports, token-protected; raw TCP; SSH
AgentsClaude Code, Codex, OpenCode and Pi preinstalled; you run them headless through execAnthropic's harness with Claude models only, with SSE events, steering, memory stores and webhooksClaude Code, Codex and more preinstalled, driven from outside with a prompt, steer and events API
Keeping API keys out of the sandboxSecrets are set as environment variables inside the sandbox, or saved in a checkpointVault secrets sit in the sandbox as placeholders and are swapped in at egress, per hostCredentials proxy for model providers and any HTTPS API; switch a credential to another account when credits run out
Browser and desktopHeadless: terminal, exec and SSH onlyHeadless Chromium with Playwright; no desktop or computer-use toolFull Linux desktop streamed at 60fps, with Chromium, computer use and browser control
Apps and databases next to the sandboxDeploy Postgres, Redis and services in the same project; a sandbox can join their private networkAgent sessions only; tools can also run on workers you host yourselfNo hosted databases or app services; host your own inside a sandbox
Outbound rulesOpen internet; static outbound IPs for services on ProUnrestricted, or limited to listed hosts plus optional package registries and MCP serversOpen internet, no provider-side allowlist
Sandboxes at once50 per environment on Hobby, 100 on Pro; Enterprise can ask for moreNo published cap; 300 creates per minute per organization, and usage-tier spend limits100 to 2,000 by plan
RegionsUS West, US East, Amsterdam and SingaporeUS workspace geo only; inference can be global or USEU only: Germany, Finland, France
Every feature Battleships tracks (43)
FeatureRailwayClaude Managed Agentsboat
Full VM (own kernel)YesNoYes
Docker insideNot publishedNot publishedYes
Nested virtualizationNoNoYes
RootYesNot publishedYes
SystemdNot publishedNot publishedYes
Desktop GUINoNoYes
BrowserYesYesYes
Computer-use APINoNoYes
SSHYesNoYes
Persistent diskYesYesYes
Pause/resumeYesYesYes
Automatic snapshotsNoYesYes
Fork/cloneYesNoYes
Live fork (no pause)YesNoYes
Memory forkNoNoNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopYesYesNo
Wake on requestNoYesNo
HTTPS preview URLsYesNoYes
Raw TCP inboundNoNoYes
Public IPv4NoNoNo
Egress allowlistNoYesNo
Secret proxyNoYesYes
Secret proxy for any APINoYesYes
Preinstalled agentsYesYesYes
Agent harness APIYesYesYes
MCP serverYesYesNo
GPUNoNoNo
WindowsNoNoNo
Arm64NoNoNo
Self-hostingNoYesNo
BYOCYesYesNo
Open sourceNoNoNo
Scoped API keysNot publishedNot publishedYes
Spend limitsYesYesYes
Usage per sandbox (API)NoYesYes
Audit logsYesNot publishedNo
SSOYesYesNo
SOC 2YesYesNo
HIPAAYesNoNo
EU data residencyYesNoYes
Zero data retentionNot publishedNoYes

Performance

RailwayNot measured
Claude Managed AgentsNot measured
boat26.69 runs/s

There is no comparable measurement for either. Railway and Managed Agents were not part of StarSling's hpc-sandbox-benchmarks run, and Anthropic does not publish how many vCPUs a Managed Agents sandbox gets. boat did 26.69 Node.js build-and-test runs per second at 4 vCPU / 8 GB in that benchmark.

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

ScenarioRailway, a monthClaude Managed Agents, 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
$16 · Hobby · with limits$13 · Claude API (pay-as-you-go, usage tiers) · with limits$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$70 · Hobby · with limits$53 · Claude API (pay-as-you-go, usage tiers) · 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
$739 · Hobby · with limits$634 · Claude API (pay-as-you-go, usage tiers) · 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
$223 · Pro · with limits$360 · Claude API (pay-as-you-go, usage tiers) · 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
$781 · Pro · with limits$796 · Claude API (pay-as-you-go, usage tiers) · with limits$2,000 · $2000/mo · with limits

Railway: Railway bills sandboxes per second at $50 per vCPU-month on CPU actually used and $50 per GB-month on memory in use, plus $0.05 per GB out, and memory keeps billing while a sandbox waits. The Hobby ($5) and Pro ($20) fees count toward usage, and sandbox disk has no published price, so our bills leave it out.

Claude Managed Agents: Managed Agents bills model tokens at API rates plus a flat session runtime fee, measured to the millisecond only while a session is running, including time spent waiting on the model. The tables show runtime only; tokens come on top and usually cost more.

Claude Managed Agents: 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; model tokens for the built-in agents are paid to your model provider.

Limits in those scenarios

Neither counts as a clean fit in any scenario: Railway is an app platform first with no published sandbox disk price, and Managed Agents is an agent platform whose sandbox size is not published beyond 8 GB of memory and 10 GB of disk. Railway caps sandboxes per environment, 50 on Hobby and 100 on Pro, so 300 sandboxes for your users or 1,000 jobs at once need several environments or an Enterprise limit. Managed Agents publishes no concurrent-session cap, only 300 creates per minute and usage-tier spend limits that pause all API use when reached. On boat, the 1,000-job burst is queued above 90 starts a minute and needs more starts per day than the $2,000 plan allows.

ScenarioRailwayClaude Managed Agentsboat
One coding agent, workdays
  • different kind of product: app platform
  • disk beyond 0 GiB: price unknown
  • adjacent product, not a like-for-like sandbox
  • machine size not published
  • different kind of product: agent-platform
  • machine size per session not published
None that bite
One agent that never stops
  • different kind of product: app platform
  • disk beyond 0 GiB: price unknown
  • adjacent product, not a like-for-like sandbox
  • machine size not published
  • different kind of product: agent-platform
  • machine size per session not published
None that bite
50 agents in parallel
  • not confirmed: Docker inside
  • different kind of product: app platform
  • disk beyond 0 GiB: price unknown
  • adjacent product, not a like-for-like sandbox
  • not confirmed: Docker inside
  • machine size not published
  • different kind of product: agent-platform
None that bite
Sandboxes for your users
  • Pro: max 100 concurrent
  • different kind of product: app platform
  • disk beyond 0 GiB: price unknown
  • adjacent product, not a like-for-like sandbox
  • machine size not published
  • different kind of product: agent-platform
  • not confirmed: how many machines can run at once (you need 300; the typical published limit is 50)
None that bite
1,000 short jobs at once
  • Pro: max 100 concurrent
  • different kind of product: app platform
  • disk beyond 0 GiB: price unknown
  • adjacent product, not a like-for-like sandbox
  • machine size not published
  • different kind of product: agent-platform
  • not confirmed: how many machines can run at once (you need 1,000; the typical published limit is 50)
  • 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 Railway when

your app and databases already live on Railway, you want short-lived VMs on the same private network, or you need bigger machines or US and Asia regions.

  • Your apps and databases in one place. Useful if your app already runs on Railway: sandboxes can join the same private network as your Postgres and services.
  • Bigger machines and more regions. Useful for heavy jobs or users outside the US: up to 32 vCPU / 32 GB on Pro, in the US, Amsterdam or Singapore.
  • Any agent, billed for CPU used. Useful if you run your own agent or code: Claude Code, Codex and others are preinstalled, and CPU bills only when used.

Use Claude Managed Agents when

you want Claude itself to do long, mostly text and code tasks with no harness to build, idle time that costs nothing, and the option to run tools on your own workers.

  • No agent loop to build. Teams that want Claude doing long tasks get the harness, caching, compaction, memory and webhooks ready to use.
  • Idle sessions sleep for free. Agents that wait a long time between messages pay runtime only while working, and resume on the next message.
  • Host allowlists and your own workers. Teams with strict network rules can limit sandboxes to listed hosts, or run every tool call on their own infrastructure.

Where boat fits

If what you are really running is coding agents that work for hours or days, look at boat. Railway gives you a VM that is destroyed when idle, and Managed Agents gives you Claude in a small container you cannot open from outside. boat gives each agent a full VM that keeps its disk, with Docker, a desktop, ports you can open and any coding agent you drive from outside.

A disk that stays

A Railway sandbox is destroyed after 30 idle minutes by default, and setting the timeout to 0 bills memory until you destroy it. Managed Agents keeps state only 30 days after the sandbox is created. boat saves the disk every minute and stops for free.

A real machine with Docker and a desktop

Railway's sandbox docs do not mention Docker or /dev/kvm, and Managed Agents has Docker only in limited availability, in a container with up to 8 GB of memory. Both are headless. boat has Docker, systemd, /dev/kvm and a 60fps desktop on every machine.

Any agent, steered from outside, keys kept out

On Railway you run agents through exec, with API keys inside the VM as environment variables. Managed Agents runs only Anthropic's harness with Claude models. boat lets you prompt and steer Claude Code, Codex and others by API, with keys held in a credentials proxy.

Use boat when your agents need a real machine that lasts: Docker, emulators, a desktop, ports you can open, a disk saved every minute, and the choice of Claude Code, Codex or other agents. Compare it one to one: boat vs Railway and boat vs Claude Managed Agents.

Questions people ask

Is Railway cheaper than Claude Managed Agents?

On runtime alone, Managed Agents is lower for one agent on workdays ($13 against $16), one agent that never stops ($53 against $70) and 50 agents in parallel ($634 against $739). Railway is lower for sandboxes for your users ($223 against $360) and 1,000 short jobs ($781 against $796). Managed Agents adds model tokens on top, and Railway's numbers leave out disk; boat comes to $20, $26, $317, $200 and $2,000 for the same five.

Which is faster, Railway or Claude Managed Agents?

We cannot say: neither has a result in StarSling's public CPU benchmark, and Anthropic does not publish the vCPU count of a Managed Agents sandbox. boat did 26.69 runs per second there at 4 vCPU / 8 GB.

Can Railway or Claude Managed Agents run Docker?

Railway's sandbox docs give you a root shell on Ubuntu but do not mention Docker or /dev/kvm. Managed Agents lists Docker as limited availability. boat has Docker, systemd and /dev/kvm on every machine.

Can I run Claude Code on Railway or Claude Managed Agents?

On Railway, yes: the default sandbox image includes Claude Code, Codex, OpenCode and Pi, run headless through exec. Managed Agents runs Anthropic's own harness with Claude models instead. boat preinstalls Claude Code, Codex and others and lets you prompt and steer them by API.

What happens when the sandbox goes idle?

Railway destroys it after the idle timeout, 30 minutes by default, unless you saved a checkpoint. Managed Agents checkpoints it and resumes on the next message, but keeps state only 30 days after the sandbox is created. A boat sandbox stops, keeps its disk and costs nothing while stopped.

Where does my data run?

Railway has regions in California, Virginia, Amsterdam and Singapore. Managed Agents stores data and runs code in a US workspace geo only. boat runs only in the EU, in Germany, Finland and France.

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