Daytona vs Claude Managed Agents

Daytona is a sandbox you rent and drive from code: a container by default, or a Linux VM, Windows VM or GPU class. Claude Managed Agents is not a sandbox you rent but a hosted Claude agent: you send it events, and it works in a small container that Anthropic runs.

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

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. “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 rankClaude Managed Agents: price rankboat: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
Daytona fits a coding agent that builds whole apps, with Docker in every class; Managed Agents is a compromise with up to 8 GB of memory and Docker only in limited availability, and boat adds a full VM with /dev/kvm on every machine.
15th cheapest of 367
$4,111 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
Managed Agents lets idle sessions sleep for free and wake on the next message, but sandbox state is kept only 30 days after creation; Daytona and boat keep a disk as long as you keep the sandbox.
24th cheapest of 366
$6,104 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
Daytona fits short code runs best of the three: no plan fee and up to 600 sandbox creates a minute on Tier 4, while Managed Agents and boat are compromises here.
25th cheapest of 345
$271 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
300 sandboxes of 2 vCPU at once need 600 vCPU, more than Daytona's Tier 4 pool of 500, and Managed Agents has no inbound ports for your users to open; boat fits with HTTPS URLs on up to 50 ports.
154th of 361, with limits
$2,000 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
130th of 360, with limits
$8,261 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
189th of 364, with limits
$2,000 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
Daytona caps a sandbox at 4 vCPU by default and Managed Agents does not publish its vCPU count, so neither is a clean fit for CI; boat allows 8 vCPU from the $20 plan.
308th of 377, with limits
$805 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
A dev box needs SSH and a disk that lasts: Daytona has SSH but bills the disk while stopped, and Managed Agents has no SSH at all.
183rd of 368, with limits
$245 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
Daytona has a VNC desktop and a computer-use API on Linux and Windows, Managed Agents has only headless Chromium, and boat streams a full desktop at 60fps.
26th cheapest of 369
$1,198 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
93rd of 367, with limits
$598 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
38th cheapest of 346
$404 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
202nd of 338, with limits
$8,073 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
12th cheapest of 360
$2,000 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
Only Daytona fits: it rents Nvidia and AMD GPUs by the hour, and neither Managed Agents nor boat has 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

FeatureDaytonaClaude Managed Agentsboat
What it isA sandbox cloud: you create and drive sandboxes through an API and SDKsA 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 VM, with coding agents built in
IsolationContainer by default; Linux VM and Windows VM classes with their own kernelIsolated Linux container per sessionFull VM with its own kernel for every sandbox, on dedicated AMD Ryzen 9 9950X hosts
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 measured; vCPU count not published26.69 runs/s
Machine size4 vCPU / 8 GB / 10 GB disk per sandbox by default, raisable per regionUp to 8 GB memory and 10 GB disk; vCPU not published; not configurableUp to 16 vCPU / 32 GB on the $100 plan and above
Docker and /dev/kvmDocker in all classes; /dev/kvm only on Linux VMs, with KVM turned on for your organizationDocker listed as limited availability; root, systemd and /dev/kvm not documentedRoot, Docker, systemd and /dev/kvm on every machine
Desktop and computer useVNC desktop and a computer-use API on Linux and WindowsHeadless Chromium with Playwright; no desktop or computer-use toolLinux desktop streamed at 60fps with Chromium, computer use and browser control
Pause and forkLinux VM and Windows: pause, resume and fork with memory kept; containers: no pause or forkNo fork or clone of a session or sandboxFork a running sandbox with its disk; resume reboots from disk
Files after a stopThe disk is kept and billed while stopped; archived containers are freeCheckpointed when a session goes idle; state kept only 30 days after the sandbox is createdDisk saved every minute and on stop; a stopped sandbox costs nothing
Wake on next messageNo; you start a stopped sandbox yourselfYes; an idle session resumes on the next message, and idle time is not billedNo; a stopped sandbox is started by API
Inbound accessHTTPS preview URLs on any port and SSH; no raw TCP or public IPNo inbound ports or SSH; reached only through the sessions and events APIHTTPS URLs for up to 50 ports, raw TCP, SSH and a dedicated IPv6 or IPv4
Outbound internetTier 1 and 2 reach only package registries, git hosts and AI APIs; Tier 3 and up get open internet and per-sandbox domain or CIDR allowlistsUnrestricted, or limited to listed hosts plus optional package registries and MCP serversOpen internet on every plan; no provider-side allowlist
Coding agentsGuides install agents and run them through process execAnthropic's harness with Claude models only, with steering, memory stores and webhooksClaude Code, Codex, OpenCode and more preinstalled, driven from outside with a prompt, steer and events API
GPUs and WindowsNvidia and AMD GPUs by the hour; Windows VM sandboxesNo GPUs, Linux onlyNo GPUs; Linux VMs, with Wine for Windows apps
Where it runsUS and EU, plus dedicated regions or your own machinesUS workspace geo only; tools can run on workers you hostEU only: Germany, Finland, France
Every feature Battleships tracks (43)
FeatureDaytonaClaude Managed Agentsboat
Full VM (own kernel)NoNoYes
Docker insideYesNot publishedYes
Nested virtualizationYesNoYes
RootYesNot publishedYes
SystemdNot publishedNot publishedYes
Desktop GUIYesNoYes
BrowserYesYesYes
Computer-use APIYesNoYes
SSHYesNoYes
Persistent diskYesYesYes
Pause/resumeYesYesYes
Automatic snapshotsYesYesYes
Fork/cloneYesNoYes
Live fork (no pause)NoNoYes
Memory forkYesNoNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopYesYesNo
Wake on requestNoYesNo
HTTPS preview URLsYesNoYes
Raw TCP inboundNoNoYes
Public IPv4NoNoNo
Egress allowlistYesYesNo
Secret proxyYesYesYes
Secret proxy for any APIYesYesYes
Preinstalled agentsYesYesYes
Agent harness APINoYesYes
MCP serverYesYesNo
GPUYesNoNo
WindowsYesNoNo
Arm64NoNoNo
Self-hostingNoYesNo
BYOCYesYesNo
Open sourceNoNoNo
Scoped API keysYesNot publishedYes
Spend limitsNot publishedYesYes
Usage per sandbox (API)YesYesYes
Audit logsYesNot publishedNo
SSOYesYesNo
SOC 2YesYesNo
HIPAAYesNoNo
EU data residencyYesNoYes
Zero data retentionNot publishedNoYes

Performance

Daytona21.52 runs/s
Claude Managed AgentsNot measured
boat26.69 runs/s

In StarSling's public run of 2026-09-29 at 4 vCPU / 8 GB, boat did 26.69 Node.js build-and-test runs per second and Daytona's Linux VM class did 21.52; Daytona's default container class reported no result. Managed Agents was not in that run and Anthropic does not publish its vCPU count, so there is no comparable number for it.

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). Claude Managed Agents 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 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
$56 · Tier 3 ($500 top-up)$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
$245 · Tier 3 ($500 top-up)$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
$2,682 · Tier 3 ($500 top-up)$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
$2,000 · Tier 4 ($2,000 top-up every 30 days) · 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
$2,000 · Tier 4 ($2,000 top-up every 30 days) · with limits$796 · Claude API (pay-as-you-go, usage tiers) · with limits$2,000 · $2000/mo · with limits

Daytona: Daytona bills per second for the vCPU, memory and disk you reserve, from a prepaid wallet with $200 of free compute to start. Open internet needs a $500 top-up (Tier 3), and the biggest pool needs $2,000 every 30 days (Tier 4).

Claude Managed Agents: Managed Agents bills model tokens at API rates plus a flat session runtime fee that accrues only while a session is running. 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.

Limits in those scenarios

Daytona limits the total vCPU running at once, up to 500 vCPU on Tier 4, so 300 user sandboxes (600 vCPU) and 1,000 short jobs at once (2,000 vCPU) need a custom limit. A Managed Agents sandbox has up to 8 GB of memory and 10 GB of disk with no published vCPU count, and Anthropic publishes no concurrent-session cap, only 300 creates per minute and usage-tier spend limits that pause API use. That is why no scenario counts as a clean fit for Managed Agents.

ScenarioDaytonaClaude Managed Agentsboat
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)
  • 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
  • egress price not published
  • Tier 1 (email verified), Tier 2 (card + $25 top-up) reach only an allowlist (package registries, git, AI APIs)
  • 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
  • egress price not published
  • Tier 1 (email verified), Tier 2 (card + $25 top-up) reach only an allowlist (package registries, git, AI APIs)
  • 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
  • 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)
  • 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
  • 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)
  • 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 Daytona when

you are building your own agent and want sandboxes you control from code, especially with GPUs, Windows, memory pause or a US region.

  • A sandbox you control from code. Teams building their own agent get raw sandboxes with SDKs, Docker, SSH and preview URLs, and run any agent or model inside.
  • GPUs, Windows and memory pause. Useful if agents test models or need Windows: Daytona rents GPUs by the hour, and its VM classes pause and fork with memory kept.
  • US, EU or your own machines. Daytona runs in the US and the EU, and can manage sandboxes on machines you bring.

Use Claude Managed Agents when

you want Claude itself to do long, mostly text and code tasks with no harness to build and idle time that costs nothing.

  • 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.
  • No top-up to get started. There is no plan fee or prepaid wallet, and open internet or a host allowlist works from the first session.

Where boat fits

Daytona gives you a sandbox and leaves the agent to you; Managed Agents gives you an agent in a small container you can't open. If your agents do hours of real work, with installs, builds, Docker, emulators and apps people need to click on, boat gives each one a full, faster VM with coding agents you drive from outside.

A full VM by default

On Daytona the default is a container sharing the host kernel, and /dev/kvm needs the VM class plus KVM turned on for your organization. Managed Agents has Docker only in limited availability and documents no /dev/kvm.

A disk that lasts and stops for free

Daytona keeps billing the disk of a stopped sandbox unless you archive a container. Managed Agents keeps sandbox state only 30 days after creation, so a returning agent redoes its setup. boat saves the disk every minute.

Any agent, driven from outside

On Daytona you install the agent and write the code that starts and watches it. Managed Agents runs only Anthropic's harness. boat ships Claude Code, Codex and more with one prompt, steer and events API.

Use boat when your agents need a real machine: Docker, emulators, a desktop, ports you can open, a disk that lasts, and Claude Code, Codex or other agents driven from outside. Compare it one to one: boat vs Daytona and boat vs Claude Managed Agents.

Questions people ask

Is Daytona cheaper than Claude Managed Agents?

For runtime alone, Managed Agents costs less in every scenario we priced, for example $53 against $245 for one agent running all month. But that leaves out model tokens, which usually cost more than the runtime, and its small container is not a clean fit for any scenario. On boat the same agent comes to $26 a month.

Which is faster, Daytona or Claude Managed Agents?

Only Daytona has a measured CPU score: 21.52 runs per second on its Linux VM class, against 26.69 for boat. Managed Agents was not benchmarked and Anthropic does not publish how many vCPUs a sandbox gets.

Can Daytona and Claude Managed Agents run Docker?

Daytona runs Docker in all its classes, and /dev/kvm on its Linux VM class once KVM is turned on for your organization. Managed Agents lists Docker as limited availability. boat has Docker, systemd and /dev/kvm on every machine.

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

On Daytona, yes: its guides install Claude Code and run it as a process in the sandbox. Managed Agents runs Anthropic's own harness with Claude models, not Claude Code. On boat, Claude Code, Codex and other agents come preinstalled and you drive them from outside.

Can I open an app my agent built?

On Daytona, yes, through HTTPS preview URLs on any port. Managed Agents has no inbound ports or SSH, so you see the work only through the events API. boat gives each sandbox HTTPS URLs on up to 50 ports, raw TCP and SSH.

Where do Daytona and Claude Managed Agents run?

Daytona offers US and EU regions, plus dedicated regions and your own machines. Managed Agents stores data and runs code in the US workspace geo only, or runs tools on workers you host. boat runs only in the EU, with EU data residency.

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