Koyeb vs Azure Container Apps Sandboxes

Both start each sandbox in its own microVM and put it to sleep when idle. Koyeb adds GPUs and runs next to apps you host there, while Azure suspends a sandbox with its memory, wakes it in under a second and lives inside your Azure account.

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.

Azure Container Apps Sandboxes

Azure Container Apps Sandboxes is a service inside Microsoft Azure that gives each agent or user an isolated microVM you create, suspend and resume through an SDK.

It is part of Azure Container Apps, the hyperscaler's serverless container platform, and lives in your Azure subscription as a sandbox group resource. Each sandbox boots from an OCI image or a snapshot, has its own kernel, and can be suspended with its memory and resumed in under a second. It is built for teams already on Azure that want stateful code execution with Azure networking, identity and billing.

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 rankAzure Container Apps Sandboxes: price rankbochka: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
A software factory needs Docker, a disk that lasts and /dev/kvm for emulators; neither Koyeb nor Azure documents nested virtualization, and bochka has all three.
54th of 367, with limits
$366 a month
288th of 367, with limits
$5,276 a month
3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
135th of 366, with limits
$923 a month
302nd of 366, with limits
$6,544 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 the next request, and Azure suspends with memory and resumes in under a second.
4th cheapest of 345
$66 a month
34th cheapest of 345
$354 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 sandboxes for your users; Koyeb costs less in this scenario, Azure keeps each user's memory across a suspend, and bochka ranks 1st with HTTPS on up to 50 ports per sandbox.
6th cheapest of 361
$495 a month
22nd cheapest of 361
$2,260 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
153rd of 360, with limits
$10,740 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
Both fit agent evals; Koyeb can also give an eval a GPU, and Azure can seed many sandboxes from one memory snapshot.
19th cheapest of 364
$429 a month
75th cheapest of 364
$1,728 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
Azure fits CI runners and Koyeb is a compromise here; builds of Android apps or VM images need /dev/kvm, which only bochka exposes.
142nd of 377, with limits
$88 a month
103rd cheapest of 377
$1,046 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
A dev box wants SSH and a disk that stays; Koyeb and Azure have no SSH, and Koyeb's local disk is lost on redeploy.
217th of 368, with limits
$37 a month
322nd of 368, with limits
$262 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
Computer-use agents need a screen; Koyeb and Azure sandboxes are headless, while bochka streams a 60fps Linux desktop with Chromium.
81st of 369, with limits
$123 a month
279th of 369, with limits
$1,573 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
288th of 367, with limits
$795 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
284th of 346, with limits
$561 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
239th of 338, with limits
$10,956 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
278th of 360, with limits
$517 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
Koyeb runs GPU instances up to H100 and H200, and neither Azure Container Apps Sandboxes nor bochka has GPUs.
3rd cheapest of 98
$628 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

FeatureKoyebAzure Container Apps Sandboxesbochka
IsolationMicroVM per instanceMicroVM per sandbox with its own kernelFull VM with its own kernel on dedicated AMD Ryzen 9 9950X hosts
Biggest machineInstance types up to 40 vCPU / 128 GB, and GPU types far largerTiers up to 4 cores / 8 GB; up to 16 vCPU / 32 GB by APIUp to 16 vCPU / 32 GB on the $100 plan and above
GPUsRTX 4000 SFF Ada up to H100, H200 and multi-GPUNoNo
Disk that survivesLocal disk is lost on redeploy; volumes (preview, 1 to 10 GB, Frankfurt and Washington) persistMemory and disk kept across a suspendDisk is kept across stops and saved every minute, with snapshots
Sleep and wakeScales to zero after 5 idle minutes or more and wakes on the next request; Light Sleep wakes in about 200 msAuto-suspend with memory after an idle timeout; traffic or a start command resumes it in under a second with processes runningAuto-stop timer you set; a stopped sandbox costs nothing, keeps its disk and boots again by API
Snapshots and forkSDK snapshots of the filesystem, or with running processes, then new sandboxes from a snapshot (experimental)Snapshot a running sandbox with its memory and create new sandboxes from itFork a running sandbox with its disk
Nested virtualizationNot documentedNot documentedYes, /dev/kvm for Android emulators and VMs
Getting a shellCommands through the Python and JavaScript SDKs; no SSHInteractive shell through the aca CLI, SDK or portal; no SSHSSH, plus CLI and API exec
Inbound accessOne exposed HTTPS port at a time, plus an optional TCP proxy to one port; no dedicated IPPublic HTTPS routes per published port; private endpoint from your VNet at extra cost; no public IPHTTPS 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 CIDRsEgress policy with allow, deny, rewrite and header rules by host, path and method; VNet integrationOpen internet, no provider-side allowlist
Desktop and browserNo desktop or browser in the sandbox SDKHeadless; no desktop or managed browser60fps Linux desktop with Chromium and computer use
Coding agentsTutorials that run agents through the command API; an MCP server lets agents manage KoyebCopilot CLI and Claude Code images, run through the exec APISeven agents preinstalled, with a prompt, steer and events API
Keeping API keys out of the sandboxSecrets are set as environment variables inside the serviceGroup secrets usable in egress header rules; Copilot and Anthropic tokens are injected into the sandbox at startupCredentials proxy for model providers and any HTTPS API; switch a credential to another account when credits run out
RegionsFrankfurt, Paris, Washington D.C., AWS US East, Singapore, Tokyo, plus San Francisco in preview40 Azure regions, 9 of them in the EUEU only (Germany, Finland, France)
Every feature Battleships tracks (43)
FeatureKoyebAzure Container Apps Sandboxesbochka
Full VM (own kernel)YesYesYes
Docker insideYesYesYes
Nested virtualizationNoNoYes
RootNot publishedYesYes
SystemdNot publishedYesYes
Desktop GUINoNoYes
BrowserNoNoYes
Computer-use APINoNoYes
SSHNoNoYes
Persistent diskYesYesYes
Pause/resumeYesYesYes
Automatic snapshotsYesYesYes
Fork/cloneYesYesYes
Live fork (no pause)Not publishedYesYes
Memory forkYesYesNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopYesYesNo
Wake on requestYesYesNo
HTTPS preview URLsYesYesYes
Raw TCP inboundYesNoYes
Public IPv4NoNoNo
Egress allowlistYesYesNo
Secret proxyNoYesYes
Secret proxy for any APINoYesYes
Preinstalled agentsYesYesYes
Agent harness APINoNoYes
MCP serverYesNoNo
GPUYesNoNo
WindowsNoNoNo
Arm64NoNoNo
Self-hostingYesNoNo
BYOCYesNoNo
Open sourceNoNoNo
Scoped API keysNot publishedNot publishedYes
Spend limitsNoYesYes
Usage per sandbox (API)NoYesYes
Audit logsYesYesNo
SSOYesYesNo
SOC 2YesYesNo
HIPAANoYesNo
EU data residencyYesYesYes
Zero data retentionNot publishedNot publishedYes

Performance

KoyebNot measured
Azure Container Apps SandboxesNot measured
bochka26.69 runs/s

There is no comparable CPU measurement for Koyeb or for Azure Container Apps Sandboxes: neither was part of the hpc-sandbox-benchmarks run. bochka did 26.69 runs per second on that Node.js build-and-test loop at 4 vCPU / 8 GB. Koyeb publishes a CPU share of at least 0.25 dedicated vCPU per GB of memory, bursting to all cores, so this page makes no speed claim between them.

Node.js build-and-test loop at 4 vCPU / 8 GB, higher is better. Measured with the open hpc-sandbox-benchmarks suite. Koyeb and Azure Container Apps Sandboxes 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 monthAzure Container Apps Sandboxes, a monthbochka, 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$68 · Pay-as-you-go$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$57 · Pro$262 · Pay-as-you-go · 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
$475 · Pro$3,421 · Pay-as-you-go$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$989 · Pay-as-you-go$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$2,148 · Pay-as-you-go$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.

Azure Container Apps Sandboxes: Azure bills per second on the Container Apps Consumption meters for the vCPU and memory of the sandbox's tier while it runs, idle time before auto-suspend included. There is no plan fee, and some regions such as West Europe and UK South charge more.

Azure Container Apps Sandboxes: 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

Koyeb's priced shape is eco-xlarge, which has a 20 GiB disk with no published price for more, and eco instances guarantee only half of each vCPU, so at 1,000 short jobs at once it throttles and does not fit. Azure handles that burst, but it bills a running sandbox until it suspends, so the always-on agent only gets close with a 3-year commitment. Azure also caps a fleet at 500 active cores by default until support raises it, and Koyeb's Pro plan allows 100 services and Scale 1,000.

ScenarioKoyebAzure Container Apps Sandboxesbochka
One coding agent, workdays
  • disk beyond 20 GiB: price unknown
None that biteNone that bite
One agent that never stops
  • disk beyond 20 GiB: price unknown
  • 3-year commitment
None that bite
50 agents in parallelNone that biteNone that biteNone that bite
Sandboxes for your usersNone that biteNone that biteNone that bite
1,000 short jobs at once
  • burstable CPU: 50% of each vCPU guaranteed, throttled above that
None that bite
  • 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 need GPUs or big CPU machines, sleep most of the time and wake on a request, or sit next to apps you already run on Koyeb.

  • GPUs in the same platform. Useful when an agent or eval needs a GPU: Koyeb runs instances from RTX 4000 cards up to H100 and H200.
  • Bigger CPU machines. For heavy jobs, Koyeb instance types go up to 40 vCPU / 128 GB, well past Azure's 16 vCPU / 32 GB.
  • Next to apps you already host. A Koyeb sandbox is a Koyeb service, so teams already serving apps or inference there keep one platform and one bill.

Use Azure Container Apps Sandboxes when

your team already runs on Azure and wants sandboxes that suspend with their memory, sit behind strict egress rules, or handle large bursts of short jobs.

  • Suspend with memory, wake on traffic. Good for stateful jobs that sleep between requests: a sandbox keeps its memory and resumes in under a second.
  • Fine-grained outbound rules. Its egress policy can allow, deny or rewrite each outbound request by host, path and method, with VNet integration.
  • Inside Azure, in 40 regions. Teams already on Azure get Entra ID, Azure billing and their VNets, in 40 regions on six continents.

Where bochka fits

Koyeb and Azure are both built for short sandboxes that sleep between requests. If your agents instead work for hours on one machine, building, running Docker, starting emulators and using a browser, look at bochka: each agent gets a whole VM that keeps its disk, with a desktop, SSH and coding agents built in.

A whole computer with /dev/kvm and SSH

bochka gives root, systemd, Docker, SSH and /dev/kvm on dedicated AMD Ryzen 9 9950X hosts. Neither Koyeb nor Azure documents nested virtualization or offers SSH, so Android emulators and VMs must run elsewhere and remote editors need workarounds.

A screen and a browser for every agent

Every bochka sandbox streams a 60fps Linux desktop with Chromium and computer-use tools. Koyeb and Azure sandboxes are headless, so a browser agent means building a browser, virtual display and streaming stack into your own image.

Agents driven from outside, keys kept outside

Seven coding agents come preinstalled with a prompt, steer and events API, and a credentials proxy keeps real keys out of the sandbox. On Koyeb keys are environment variables, and Azure injects agent tokens at startup, where a prompt-injected agent can read them.

Use bochka when your agents need a whole computer for hours: a disk that stays, Docker, /dev/kvm, SSH, a desktop and a browser, with coding agents and a credentials proxy built in. Compare it one to one: bochka vs Koyeb and bochka vs Azure Container Apps Sandboxes.

Questions people ask

Is Koyeb cheaper than Azure Container Apps Sandboxes?

In the scenarios on this page, yes, where both fit: $475 against $3,421 a month for 50 agents in parallel, and $329 against $989 for sandboxes for your users. For 1,000 short jobs at once, Azure fits and Koyeb's burstable CPU does not. bochka costs $317 and $200 in those two scenarios.

Which is faster, Koyeb or Azure Container Apps Sandboxes?

Neither has a comparable CPU measurement yet, so there is no speed claim between them. bochka did 26.69 runs per second on the hpc-sandbox-benchmarks Node.js loop at 4 vCPU / 8 GB.

Which one keeps my files and memory when it sleeps?

Azure suspends a sandbox with its memory and disk and resumes running processes in under a second. Koyeb loses the local disk on redeploy and a deep sleep discards the VM, so lasting files need a volume or an experimental SDK snapshot. bochka keeps the disk and saves it every minute, but a resume boots the machine again.

Can I run Docker or Android emulators in Koyeb or Azure?

Koyeb starts each sandbox from any Docker image, and on Azure the azure-dev image ships Docker while the default ubuntu image has only Buildah. Neither documents /dev/kvm, so Android emulators and VMs are out; bochka runs Docker on every sandbox and exposes /dev/kvm.

Which one has GPUs?

Koyeb runs instances from an RTX 4000 SFF Ada up to H100 and H200, billed per second. Azure Container Apps Sandboxes and bochka are CPU only.

Is bochka SOC 2 compliant?

SOC 2 is in progress. We're open about where we stand: live status at status.bochka.xyz and our data retention policy at docs.bochka.xyz/data-retention.

Try bochka

Install the CLI, then run bochka new.

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More comparisons

Bochka product preview · Pricing, benchmarks and commands are illustrative. Sandbox provisioning is not connected.