Runloop vs Ona

Runloop is a sandbox platform you drive from code, with devboxes for building, running and testing AI coding agents. Ona, formerly Gitpod and now part of OpenAI, is a cloud dev environment for engineers and its Codex agent, and new customers buy it only through sales.

The companies and products

Runloop

Runloop is a US platform of sandboxes, called devboxes, for building, running and testing AI coding agents.

You get Linux devboxes built from Dockerfile-style blueprints, disk snapshots, HTTPS tunnels, agent gateways that hide API keys, and Axons, event streams that drive agents such as Claude Code. Each devbox runs in a micro-VM on Runloop's own bare-metal hypervisor, with a container layer inside. It is built for teams shipping coding agents, plus evaluation and RL fine-tuning work on the Enterprise plan.

Compliance
SOC 2 Type 2

Ona

Ona, formerly Gitpod, is a platform for cloud dev environments and background coding agents, and is now part of OpenAI.

Ona is a different kind of product from boat: a dev-environment platform, not a sandbox API. Each task or developer gets an isolated VM built from a Dev Container config, which people open in a browser IDE, VS Code or JetBrains, and where Ona's Codex Agent can plan, code, test and open pull requests. It is built for engineering teams who want the same governed environment for every developer and agent; new customers run it in their own AWS or GCP account on an Enterprise contract.

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. “20th cheapest of 367” means 19 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 workloadRunloop: price rankOna: price rankboat: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
Runloop fits fully and ranks 20th; Ona is a compromise because its SDK is Enterprise only and nested virtualization is not documented; boat ranks 3rd with /dev/kvm on every machine.
20th cheapest of 367
$8,152 a month
324th of 367, with limits
$7,315 a month
3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
Runloop can suspend an idle devbox and wake it on an HTTP request (Pro plan), while an always-on agent on Ona needs auto-stop set to Never, because background work does not count as activity.
32nd cheapest of 366
$10,194 a month
83rd of 366, with limits
$8,504 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
Runloop ranks 44th here, well ahead of boat and Ona, because it starts big waves of short runs without published start limits, while boat's start limits queue very large bursts.
44th cheapest of 345
$525 a month
335th of 345, with limits
$5,320 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
Runloop fits; Ona is built for your own engineers, not for handing machines to your users, and its per-user policy defaults to 10 running environments.
26th cheapest of 361
$3,301 a month
330th of 361, with limits
$5,988 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
Runloop ranks 4th for RL rollouts: it starts large waves without published start limits and sells RL fine-tuning on Enterprise.
4th cheapest of 360
$15,922 a month
283rd of 360, with limits
$9,773 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
81st cheapest of 364
$2,562 a month
334th of 364, with limits
$5,768 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
boat's faster CPUs finish builds sooner than Runloop's, and Ona has no fork, so each run starts from a prebuild instead of a warm machine.
121st cheapest of 377
$1,554 a month
365th of 377, with limits
$5,461 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
Ona is a full cloud IDE with Dev Containers and prebuilds for people; Runloop has no public IP or raw TCP; boat is a full VM you reach over SSH, HTTPS or a desktop.
113th cheapest of 368
$410 a month
368th of 368, with limits
$5,140 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
Runloop and boat both ship a desktop and a browser an agent can control, and boat streams it at 60fps; Ona environments have no graphical desktop.
39th cheapest of 369
$2,306 a month
353rd of 369, with limits
$5,691 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
40th cheapest of 367
$1,153 a month
150th of 367, with limits
$5,346 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
68th cheapest of 346
$781 a month
146th of 346, with limits
$5,468 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
266th of 338, with limits
$15,611 a month
261st of 338, with limits
$14,360 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
10th cheapest of 360
$770 a month
93rd of 360, with limits
$5,228 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

FeatureRunloopOnaboat
Kind of productSandbox platform of devboxes for building, running and testing AI coding agentsCloud dev environment platform for engineers and its Codex agentSandbox API: full VMs for agents, driven from code
IsolationMicro-VM on a custom bare-metal hypervisor, plus a container layerIsolated VM per environment, built from a Dev Container configFull VM with its own kernel on dedicated AMD Ryzen 9 9950X hosts
Docker and nested virtualizationDocker on the Docker-in-Docker blueprints, as root; nested virtualization not documentedDocker and root inside the Dev Container; nested virtualization not documentedDocker, root, systemd and /dev/kvm on every machine, so Android emulators and VMs run inside
Driving it from codeAPI and SDKs, from the usage-only Basic plan with no sales callPython, TypeScript and Go SDK on the Enterprise plan onlyAPI and SDK on every plan, including the trial
Keeping filesDisk kept through suspend (Pro plan) or manual disk snapshots; shutdown ends the devboxDisk persists across stops; in your own cloud it is billed while stopped, and Core archives a stopped environment after 3 daysSnapshot every minute and on stop, on every plan; a stopped sandbox keeps its disk and costs nothing
Copies of a machineNew devboxes from disk snapshots, files onlyNo environment copy; you can create a project from an environment's configFork a running sandbox into copies with its files
Long runs and idle stopFixed lifetime 1 hour by default, 48 hours max; an idle policy replaces it, with suspend and wake on HTTP on ProStops after 30 minutes without SSH, IDE or agent activity by default; background processes do not count; can be set to NeverNo session cap on paid plans; default TTL 1 hour, changeable
Desktop and computer useDesktop and browser an agent can controlBrowser IDE, VS Code and JetBrains; no graphical desktop inside the environment60fps desktop with Chromium, computer use and browser control, embeddable stream
Reaching the sandboxOne HTTPS tunnel per devbox; SSH through a TLS proxy; no public IPHTTPS URL per port; SSH; no raw TCP or public IP documentedHTTPS URLs for up to 50 ports, token-protected; raw TCP; dedicated IPv6 or IPv4
Egress rulesHostname allowlist with wildcards, or block allNo egress allowlist documentedOpen internet, no provider-side allowlist
Keeping keys out of the sandboxAgent gateways for any API endpoint with bearer, header or basic authSecrets injected as environment variables or filesAI credentials proxy for model providers and any HTTPS API; switch a credential to another account when credits run out
Coding agentsClaude Code, Codex, OpenCode, Gemini CLI and DeepAgents, driven through Axons and BrokerCodex Agent from chat, a Linear issue or an automation; Claude Code you run yourselfClaude Code, Codex, OpenCode and more preinstalled, with a prompt, steer and events API
Where it runsRegions not documented; Deploy to VPC on AWS, GCP or Azure (Enterprise)Enterprise runners in your own AWS or GCP account, in many regions; Ona Cloud in Frankfurt and North Virginia for existing Core subscribersEU only (Germany, Finland, France), with EU data residency
GPUsNoneGPU instance types on Enterprise runners, such as one NVIDIA A10G with 16 vCPU and 64 GBNone
Every feature Battleships tracks (43)
FeatureRunloopOnaboat
Full VM (own kernel)YesYesYes
Docker insideYesYesYes
Nested virtualizationNoNoYes
RootYesYesYes
SystemdNot publishedNot publishedYes
Desktop GUIYesNoYes
BrowserYesYesYes
Computer-use APIYesNoYes
SSHYesYesYes
Persistent diskYesYesYes
Pause/resumeYesYesYes
Automatic snapshotsYesNoYes
Fork/cloneYesNoYes
Live fork (no pause)YesNoYes
Memory forkNoNoNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopYesYesNo
Wake on requestYesNoNo
HTTPS preview URLsYesYesYes
Raw TCP inboundNoNoYes
Public IPv4NoNoNo
Egress allowlistYesNoNo
Secret proxyYesNoYes
Secret proxy for any APIYesNoYes
Preinstalled agentsYesYesYes
Agent harness APIYesYesYes
MCP serverYesNoNo
GPUNoYesNo
WindowsNoNoNo
Arm64YesNoNo
Self-hostingNoNoNo
BYOCYesYesNo
Open sourceNoNoNo
Scoped API keysYesNot publishedYes
Spend limitsNot publishedYesYes
Usage per sandbox (API)NoNoYes
Audit logsNot publishedNoNo
SSOYesYesNo
SOC 2YesYesNo
HIPAANot publishedNoNo
EU data residencyNoYesYes
Zero data retentionNot publishedNot publishedYes

Performance

Runloop8.29 runs/s
OnaNot measured
boat26.69 runs/s

On the hpc-sandbox-benchmarks Node.js build-and-test loop at 4 vCPU / 8 GB (run 36498291449, 2026-09-29), boat scored 26.69 runs a second and Runloop 8.29, about 3.2 times apart. There is no comparable measurement for Ona: it was not in the benchmark runs we use. The test measures CPU work only, not start time or network speed.

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

ScenarioRunloop, a monthOna, 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
$113 · Basic$5,030 · Enterprise (AWS Marketplace 12-month contract) · with limits$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$429 · Basic$5,140 · Enterprise (AWS Marketplace 12-month contract) · 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
$5,268 · Basic$6,521 · Enterprise (AWS Marketplace 12-month contract) · 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
$1,441 · Basic$5,432 · Enterprise (AWS Marketplace 12-month contract) · 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
$3,184 · Basic$5,955 · Enterprise (AWS Marketplace 12-month contract) · with limits$2,000 · $2000/mo · with limits

Runloop: Runloop bills per second for the CPU and memory you allocate, and bills disk for a devbox's whole life. Basic has no plan fee; Pro adds $250 a month that is not usage credit and unlocks suspend and resume.

Ona: New Core subscriptions are closed, so Ona prices here use its Enterprise listing on AWS Marketplace: a 12-month, $60,000 contract, plus compute on your own AWS bill. Real Enterprise prices are negotiated with sales.

Ona: Plans start at $20 a month and the whole fee is usage credit, billed per second while a sandbox runs. A stopped sandbox costs nothing and keeps its disk.

Limits in those scenarios

No Ona scenario fits as published: new customers can only buy Enterprise through sales, and since Ona publishes no Enterprise concurrency limit, the table assumes 3 environments at once. Runloop fits every scenario on Basic, but publishes no egress price, tops out disk at 64 GiB and caps a fixed lifetime at 48 hours unless an idle policy replaces it. boat fits all but 1,000 short jobs at once, where its start limits queue the burst.

ScenarioRunloopOnaboat
One coding agent, workdays
  • egress price not published
  • negotiated / enterprise price
  • different kind of product: CI runner
  • needs talk to sales: plan "Enterprise (AWS Marketplace 12-month contract)" is negotiated with sales
  • egress price not published
None that bite
One agent that never stops
  • egress price not published
  • negotiated / enterprise price
  • different kind of product: CI runner
  • needs talk to sales: plan "Enterprise (AWS Marketplace 12-month contract)" is negotiated with sales
  • egress price not published
None that bite
50 agents in parallel
  • egress price not published
  • Enterprise (AWS Marketplace 12-month contract): max 3 concurrent (not published; assumed like its other plans)
  • negotiated / enterprise price
  • different kind of product: CI runner
  • needs talk to sales: plan "Enterprise (AWS Marketplace 12-month contract)" is negotiated with sales
None that bite
Sandboxes for your users
  • egress price not published
  • Enterprise (AWS Marketplace 12-month contract): max 3 concurrent (not published; assumed like its other plans)
  • negotiated / enterprise price
  • different kind of product: CI runner
  • needs talk to sales: plan "Enterprise (AWS Marketplace 12-month contract)" is negotiated with sales
None that bite
1,000 short jobs at once
  • egress price not published
  • Enterprise (AWS Marketplace 12-month contract): max 3 concurrent (not published; assumed like its other plans)
  • negotiated / enterprise price
  • different kind of product: CI runner
  • needs talk to sales: plan "Enterprise (AWS Marketplace 12-month contract)" is negotiated with sales
  • 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 Runloop when

you want a self-serve sandbox API for coding agents today, with hostname allowlists, arm64, or very large bursts of short jobs.

  • Self-serve sandbox API. Useful if you want to start building today: Runloop's Basic plan is usage only, with an API and no sales call.
  • Lock down the network. Useful if a sandbox must only reach a fixed list of hosts: Runloop allows listed hostnames, with wildcards, or blocks everything.
  • Big bursts and arm64. Useful for waves of short jobs or RL rollouts: Runloop publishes no start limits, and it offers arm64 devboxes too.

Use Ona when

your engineers want a governed cloud IDE shared with a Codex agent, inside your own AWS or GCP account or with a GPU.

  • A full cloud IDE for your team. Useful if your engineers work in the same environments as their agents: Ona has browser, VS Code and JetBrains IDEs with prebuilds.
  • Runs in your own cloud. Useful if environments must run inside your own AWS or GCP account, in many regions: Ona's Enterprise runners do that.
  • GPU environments. Useful if your agents need a GPU: Ona's Enterprise runners can use GPU instance types, such as an A10G VM.

Where boat fits

If what you are really running is agents that install, build, test and serve things for hours, look at boat. Each sandbox is a full VM with /dev/kvm, a desktop and open ports, its disk is saved every minute, and it ran 3.2 times faster than Runloop on the same CPU benchmark. You drive it from code on every plan, with no sales call.

A full Linux machine

Neither Runloop nor Ona documents /dev/kvm, so Android emulators and VMs do not start, and both reach sandboxes over HTTPS only, so raw TCP servers have no way in. Ona also has no desktop for computer-use agents.

Work kept, forks while running

On Runloop a devbox is gone after shutdown unless you pay $250-a-month Pro for suspend or write snapshot code. On Ona a stopped disk stays on your cloud bill, and nothing copies a warm environment.

Agents that run as long as you want

Runloop's fixed lifetime tops out at 48 hours unless you set an idle policy. Ona stops a VM after 30 idle minutes and ignores background work, so a busy agent stops unless auto-stop is set to Never.

Use boat when your code starts and drives agents that do real work for hours: full VMs with /dev/kvm, a desktop and open ports, faster CPUs, and machines that keep their work and fork while running. Compare it one to one: boat vs Runloop and boat vs Ona.

Questions people ask

Is Runloop cheaper than Ona?

In every scenario we priced, yes. One coding agent on workdays is $113 a month on Runloop and $5,030 on Ona, using Ona's Enterprise listing on AWS Marketplace, and one agent running all month is $429 against $5,140. On boat those are $20 and $26 a month.

Which is faster, Runloop or Ona?

We can only compare Runloop: it ran 8.29 Node.js build-and-test loops a second at 4 vCPU / 8 GB, and Ona was not in the benchmark. boat ran 26.69 on the same test.

Can Runloop and Ona run Docker?

Yes. Runloop runs Docker on its Docker-in-Docker blueprints as root, and Ona runs Docker with root inside the Dev Container. Neither documents nested virtualization; boat exposes /dev/kvm, so Android emulators and VMs run inside.

Can I sign up for Ona like I can for Runloop?

No. Ona's billing docs say new Core subscriptions are no longer available, so new customers go through sales. Runloop's Basic plan is usage only with no plan fee, and boat's plans are self-serve from a free trial up.

Can I run Claude Code on Runloop or Ona?

Runloop drives Claude Code, Codex, OpenCode and others through Axons. Ona's managed agent is Codex, and you install and run Claude Code yourself. boat ships Claude Code, Codex, OpenCode and more preinstalled, with one API to prompt, steer and watch them.

Can I run Runloop or Ona in my own cloud?

Yes, on Enterprise for both: Runloop deploys into your AWS, GCP or Azure account, and Ona's runners provision environments in your AWS or GCP account. boat runs only on its own hosts in the EU.

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