Koyeb vs Beam

Both are serverless clouds with GPUs that also sell sandboxes for AI agents. Koyeb puts each sandbox in a microVM that can sleep when idle and wake on a request, in the EU, US and Asia, while Beam starts gVisor containers in a second or two, adds separate CPU VMs, runs in the US and is open source.

The companies and products

Koyeb

Koyeb is a serverless cloud for apps, inference and sandboxes, and in February 2026 it agreed to join Mistral AI.

A Koyeb sandbox is a Koyeb service: a microVM started from any Docker image and driven from Python or JavaScript SDKs that run commands, read files and expose a port. It can scale to zero when idle and wake on the next request, and it can run on CPU or GPU instance types. It is built for teams that run AI agents or untrusted code next to apps they already host on Koyeb.

Beam

Beam is a serverless cloud for GPU inference, sandboxes and background jobs, built on its open-source runtime Beta9.

Beam runs functions, REST endpoints, task queues, pods, sandboxes and VMs on CPUs and GPUs, all from a Python or TypeScript SDK. A sandbox is a container isolated with gVisor that starts in a second or two, lives until you terminate it or its time to live runs out, and can be saved as a filesystem image or a memory snapshot. Beam VMs are a separate CPU product: a microVM with its own kernel, systemd and a root disk that stays when it stops. Much of Beam is a GPU serverless platform for AI teams.

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. “4th cheapest of 345” means 3 of the other 344 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 workloadKoyeb: price rankBeam: 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, systemd and a disk that stays; Koyeb loses its local disk on redeploy and Beam sandboxes end with their time to live, while boat keeps the disk and adds /dev/kvm.
54th of 367, with limits
$366 a month
69th of 367, with limits
$551 a month
3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
An assistant that lives on its machine all month needs its files to stay; a Beam VM keeps its root disk, a Koyeb deep sleep throws the VM away, and boat keeps the disk on every sandbox.
135th of 366, with limits
$923 a month
115th of 366, with limits
$651 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
Both fit short code runs well: Koyeb sleeps after 5 idle minutes and wakes on a request, and Beam sandboxes start in a second or two and end on a timer.
4th cheapest of 345
$66 a month
8th cheapest of 345
$117 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
Both fit; Beam gives each user a quick container, Koyeb a microVM that wakes on request in more regions, and boat a full VM with up to 50 HTTPS ports.
6th cheapest of 361
$495 a month
3rd cheapest of 361
$290 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
237th of 360, with limits
$1,631 a month
341st of 360, with limits
$939 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
19th cheapest of 364
$429 a month
13th cheapest of 364
$251 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
Beam fits CI with Docker inside its sandboxes, while Koyeb's cheap eco shape only guarantees half of each vCPU; neither documents /dev/kvm for Android or VM builds, which boat has.
142nd of 377, with limits
$88 a month
12th cheapest of 377
$171 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
A Beam VM keeps a 50 GiB root disk while stopped, which suits a dev box; on Koyeb lasting files need a volume, which is in preview.
217th of 368, with limits
$37 a month
13th cheapest of 368
$21 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 Koyeb nor Beam has a desktop or browser in its sandboxes, so you build that yourself; boat streams a 60fps Linux desktop with Chromium.
81st of 369, with limits
$123 a month
111th of 369, with limits
$237 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
172nd of 367, with limits
$123 a month
195th of 367, with limits
$176 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
172nd of 346, with limits
$89 a month
200th of 346, with limits
$131 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
65th of 338, with limits
$1,683 a month
42nd of 338, with limits
$923 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
233rd of 360, with limits
$299 a month
175th of 360, with limits
$155 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
Both run GPUs: Koyeb from RTX 4000 cards up to H100 and H200, Beam from RTX 4090 up to H100, H200 and B200; boat has no GPUs.
3rd cheapest of 98
$628 a month
Cheapest of 98
$458 a month
Can'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

FeatureKoyebBeamboat
IsolationMicroVM per instancegVisor container by default; separate Beam VMs are CPU microVMs with their own kernelFull VM with its own kernel on dedicated AMD Ryzen 9 9950X hosts
Docker and systemdStarts from any Docker image; systemd not documentedDocker inside sandboxes with docker_enabled; systemd only in Beam VMsDocker, systemd and root, like a normal Ubuntu server
Nested virtualizationNot documentedNot documentedYes, /dev/kvm for Android emulators and VMs
Disk between runsLocal disk is lost on redeploy; volumes (preview, 1 to 10 GB, two regions) persistA sandbox ends with its time to live unless you save an image or use a volume; a Beam VM keeps a 50 GiB root diskDisk is saved every minute and on stop, and a stopped sandbox keeps it for free
Sleep and wakeScales to zero after 5 idle minutes and wakes on the next request; Light Sleep wakes in about 200 msNo wake on request; a sandbox runs until you terminate it or its time to live ends (10 minutes by default)Stop and start by API; a stopped sandbox costs nothing and keeps its disk
Snapshots and forkSDK snapshots of the filesystem or running processes, then new sandboxes from them (experimental)Memory snapshot of a running sandbox with its processes, restored into new sandboxesFork a running sandbox with its disk
GPUsRTX 4000 SFF Ada up to H100, H200 and multi-GPUGPU sandboxes and serverless GPUs up to H100, H200 and B200No, CPU only
Inbound accessOne exposed HTTPS port at a time, plus an optional TCP proxy to one portA public HTTPS URL per exposed port with no built-in auth; no raw TCPHTTPS URLs for up to 50 ports, token-protected by default; raw TCP; dedicated IPv4 or IPv6
Outbound rulesBlock all outbound traffic, or allow only listed IPs and CIDRsBlock all outbound traffic, or allow up to 10 CIDR ranges, changeable while runningOpen internet, no provider-side allowlist
Desktop and browserNo desktop or browser in the sandbox SDKNo desktop or browser product60fps Linux desktop with Chromium and computer use
Coding agentsTutorials that run agents through the command APINone preinstalled; you install and run them through process execSeven agents preinstalled, with a prompt, steer and events API
Keeping API keys out of the sandboxSecrets are set as environment variables inside the serviceSecrets are exposed as environment variables inside the sandboxCredentials proxy for model providers and any HTTPS API; switch a credential to another account when credits run out
RegionsEU, US and AsiaUS only; no other region is listedEU only (Germany, Finland, France)
Self-hostingEdge and on-premise deployments for Enterprise, on requestBeta9 runtime is AGPL-3.0 and free to self-host; bring your own cloud for a feeNo
Every feature Battleships tracks (43)
FeatureKoyebBeamboat
Full VM (own kernel)YesNoYes
Docker insideYesYesYes
Nested virtualizationNoNoYes
RootNot publishedYesYes
SystemdNot publishedNoYes
Desktop GUINoNoYes
BrowserNoNoYes
Computer-use APINoNoYes
SSHNoYesYes
Persistent diskYesYesYes
Pause/resumeYesNoYes
Automatic snapshotsYesNoYes
Fork/cloneYesYesYes
Live fork (no pause)Not publishedYesYes
Memory forkYesYesNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopYesNoNo
Wake on requestYesNoNo
HTTPS preview URLsYesYesYes
Raw TCP inboundYesNoYes
Public IPv4NoNoNo
Egress allowlistYesYesNo
Secret proxyNoNoYes
Secret proxy for any APINoNoYes
Preinstalled agentsYesNoYes
Agent harness APINoNoYes
MCP serverYesYesNo
GPUYesYesNo
WindowsNoNoNo
Arm64NoNoNo
Self-hostingYesYesNo
BYOCYesYesNo
Open sourceNoYesNo
Scoped API keysNot publishedNot publishedYes
Spend limitsNoNot publishedYes
Usage per sandbox (API)NoNoYes
Audit logsYesNot publishedNo
SSOYesNoNo
SOC 2YesYesNo
HIPAANoYesNo
EU data residencyYesNot publishedYes
Zero data retentionNot publishedNot publishedYes

Performance

KoyebNot measured
BeamNot measured
boat26.69 runs/s

There is no comparable measurement for Koyeb or Beam: neither was part of the StarSling hpc-sandbox-benchmarks CPU run, so we cannot say which is faster. boat did 26.69 runs per second on that Node.js test at 4 vCPU / 8 GB. Koyeb publishes a CPU share of at least 0.25 dedicated vCPU per GB of memory, and Beam's guide says its sandboxes cold-boot in 1 to 3 seconds.

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

ScenarioKoyeb, a monthBeam, 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
$29 · Pro$5 · Developer$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$57 · Pro$22 · Developer$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
$475 · Pro$410 · Team$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
$329 · Scale$191 · Team$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
$485 · Scale · with limits$259 · Team$2,000 · $2000/mo · with limits

Koyeb: Koyeb bills each instance per second at a fixed price per instance type, and Deep Sleep costs nothing. Pro costs $29 a month with $10 of usage included and Scale $299 a month with $100 included; the rest of the fee is not credit.

Beam: Beam sandboxes bill per second for each CPU core (two vCPU) and GiB of RAM until you terminate them or their time to live ends, so an idle tail is billed too. Developer has no fee, Team costs $89 a month plus usage with no credit, and egress is free.

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

Limits in those scenarios

Neither Koyeb nor Beam publishes a price for more disk in these scenarios: Koyeb's eco-xlarge has a 20 GiB disk, and Beam's sandbox price counts no disk at all, so the 50 GB scenarios are priced without it. Beam's Developer plan allows 30 CPU containers at once, so 50 parallel agents need Team. At 1,000 short jobs at once, Beam's Team plan fits, while Koyeb's burstable eco CPU guarantees only half of each vCPU and boat's $2,000 plan queues starts above 90 a minute.

ScenarioKoyebBeamboat
One coding agent, workdays
  • disk beyond 20 GiB: price unknown
  • disk beyond 0 GiB: price unknown
None that bite
One agent that never stops
  • disk beyond 20 GiB: price unknown
  • disk beyond 0 GiB: price unknown
None that bite
50 agents in parallelNone that bite
  • disk beyond 0 GiB: price unknown
None that bite
Sandboxes for your usersNone that bite
  • disk beyond 0 GiB: price unknown
None that bite
1,000 short jobs at once
  • burstable CPU: 50% of each vCPU guaranteed, throttled above that
  • disk beyond 0 GiB: price unknown
  • 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 Koyeb when

your sandboxes sleep most of the time and must wake on a request, need a microVM each, or have to run in the EU or Asia as well as the US.

  • Sleep when idle, wake on request. Good for sandboxes that sit idle between requests: Koyeb scales to zero and wakes on the next request, in about 200 ms with Light Sleep.
  • A microVM for every sandbox. Every Koyeb sandbox gets its own microVM, while a Beam sandbox is a gVisor container unless you opt in to microVM mode.
  • Regions in the EU, US and Asia. For teams whose users sit outside the US, Koyeb runs in Frankfurt, Paris, Washington D.C., Singapore, Tokyo and more.

Use Beam when

you run many short jobs or big bursts, want memory snapshots or low-cost CPU VMs in the US, or must self-host the runtime.

  • Fast sandboxes that end on their own. For short jobs and big bursts, Beam sandboxes start in a second or two and stop when their time to live ends.
  • Memory snapshots and CPU VMs. Beam can snapshot a running sandbox with its processes, and sells CPU VMs that keep a 50 GiB disk while stopped.
  • Open source and your own cloud. Teams that must self-host can run Beta9, Beam's AGPL-3.0 runtime, for free, or run Beam in their own cloud for a fee.

Where boat fits

Koyeb and Beam are GPU clouds first, with sandboxes as one product among many. If what you are really running is coding agents that work for hours, boat gives each one a full VM that keeps its disk, with the agents, a desktop and hosting built in. Keep Koyeb or Beam for the GPU part.

A full VM with /dev/kvm

Neither Koyeb nor Beam documents /dev/kvm, so Android emulators and nested VMs cannot start there, and Beam sandboxes have no systemd. boat gives each sandbox its own kernel, root, systemd, Docker and /dev/kvm.

A disk that is still there

Koyeb loses its local disk on redeploy and a deep sleep discards the VM; a Beam sandbox ends with its time to live. Both need volumes or snapshots to keep work. boat saves the disk every minute and on stop.

Agents, desktop and keys built in

On both you build the agent harness on exec, have no desktop, expose ports one at a time or publicly, and keep keys as environment variables the agent can read. boat preinstalls seven agents, a 60fps desktop and a credentials proxy.

Use boat when your agents do real work for hours on a machine that keeps its disk: builds, Docker, emulators, a desktop browser and preview servers, with agents and keys handled for you. Compare it one to one: boat vs Koyeb and boat vs Beam.

Questions people ask

Is Koyeb cheaper than Beam?

No, Beam costs less in every scenario on this page. For one agent that never stops it is $22 against $57 a month, and for 50 agents in parallel $410 against $475. For 1,000 short jobs at once, Beam fits at $259 a month while Koyeb's burstable CPU does not.

Which is faster, Koyeb or Beam?

We cannot say: neither has a result on the CPU benchmark we use. Beam says its sandboxes cold-boot in 1 to 3 seconds, and Koyeb's Light Sleep wakes a sandbox in about 200 ms. boat did 26.69 runs per second on that benchmark.

Can Koyeb and Beam run Docker?

Both start sandboxes from Docker images. Beam runs Docker inside a sandbox when you set docker_enabled, and boat runs Docker with root and systemd in its full VM, plus /dev/kvm for emulators.

Do Koyeb and Beam sandboxes keep their files?

Not by default. Koyeb's local disk is lost on redeploy and a deep sleep discards the VM, and a Beam sandbox ends with its time to live; both need volumes or snapshots. A Beam VM keeps its root disk, and boat saves the disk every minute.

Which has better GPUs?

Both sell GPUs billed per second. Koyeb goes from an RTX 4000 SFF Ada up to H100 and H200, and Beam from an RTX 4090 up to H100, H200 and B200, with GPUs in sandboxes too. boat is CPU only.

Where do Koyeb and Beam run?

Koyeb runs in Frankfurt, Paris, Washington D.C., Singapore, Tokyo and more. Beam runs on AWS and Google Cloud in the United States, with no other region listed. boat runs in the EU only.

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