k6 is free and open source, and on your laptop it is a joy to use. The moment you need real scale, though, things change: tens of thousands of virtual users, traffic from several regions at once, and results you can actually read afterwards. That is the point where teams discover that “k6 is free” and “running k6 at scale is free” are two different statements.
There are three honest ways to run k6 at scale, and the right one depends on your budget, your infrastructure, and how much operations work you want to own. We run k6 in the cloud on LoadFocus, so we will be upfront about where each option fits, including ours.
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What “at scale” actually requires
A single k6 process is efficient, but one machine has limits on CPU, memory, and network. To generate a large, realistic load you need more than the binary:
- Multiple load generators. Past a few thousand virtual users you spread the load across several machines.
- Geographic distribution. Real users are not all in one data center, so meaningful tests originate from several regions at once.
- Coordination. Starting, stopping, and synchronising many generators, then collecting and merging their metrics into one result.
- Result storage and visualisation. k6 streams metrics out; something has to receive, store, and chart them.
Every option below solves these four problems differently. That is really what you are choosing between.
Option 1: k6 OSS, self hosted
The open source k6 binary is free under the AGPL licence, and you can absolutely run large tests with it. You provision your own load generators, run k6 on each, and aggregate the output yourself.
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For repeatable distributed runs, the common approach is the k6 Operator on Kubernetes, which fans a single test out across many pods:
# run k6 locally
k6 run --vus 200 --duration 5m load-test.js
# or distribute across a cluster with the k6 Operator (Kubernetes)
kubectl apply -f https://github.com/grafana/k6-operator/releases/latest/download/bundle.yaml
# then a TestRun resource fans the script out across N parallel podsGood for: teams that already run Kubernetes, want full control, and have the operations capacity to manage load generators.
The catch: the software is free, but the infrastructure and the time are not. You pay for the machines while they run, you build the multi region setup yourself (deploying generators in each cloud region), and you assemble the results pipeline (k6 to Prometheus or InfluxDB to Grafana). It is the cheapest in licence cost and the most expensive in engineering effort.
Option 2: Grafana k6 Cloud
Grafana k6 Cloud (the commercial SaaS now part of Grafana Cloud, formerly k6 Cloud) is the official managed way to run k6. You keep writing the same JavaScript tests, then run them on Grafana’s infrastructure, which handles distributed execution across multiple cloud regions and gives you hosted dashboards.
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Good for: teams that are all in on Grafana, want the first party option, and prefer managed execution with native Grafana integration.
The catch: it is a paid subscription. There is a limited free tier, but real, distributed, multi region tests at scale sit on the paid plans, priced by virtual user hours and test size. This is exactly why “k6 cloud pricing” and “k6 cloud alternatives” are such common searches: the binary is free, the cloud that scales it is not.
Option 3: A managed cloud load testing platform
The third path is a managed platform that runs your existing k6 scripts in the cloud without you adopting Grafana Cloud or building your own generators. You upload the same k6 JavaScript file, choose how many virtual users and which regions, and the platform handles distribution, coordination, storage, and charts.
This is where LoadFocus fits. With cloud k6 load testing you run your k6 script from 25+ regions with no infrastructure to provision, set pass and fail thresholds, and get AI assisted analysis that explains the results. It is the same model as Grafana k6 Cloud (managed, distributed, multi region) but as an independent platform, which is what most people mean when they look for a way to run k6 in the cloud without Grafana.
Good for: teams that want managed, multi region k6 runs, are cost conscious, or simply do not want to run their performance testing inside Grafana Cloud.
Cost and effort, side by side
| k6 OSS (self hosted) | Grafana k6 Cloud | Managed platform (LoadFocus) | |
|---|---|---|---|
| Software cost | Free (AGPL) | Paid subscription (limited free tier) | Subscription, often with a free tier |
| Infrastructure | You provision and pay for it | Managed | Managed |
| Multi region | Do it yourself, per region | Built in | Built in (25+ regions) |
| Coordination and results | You build the pipeline | Hosted dashboards | Hosted charts, trends, AI analysis |
| Operations effort | High | Low | Low |
| Best for | Full control, you have infra and ops | All in on Grafana | Run k6 in the cloud without Grafana |
How to choose
- Choose k6 OSS self hosted if licence cost is what you are optimising for, you already run Kubernetes, and you have the operations capacity to own load generators and a results pipeline.
- Choose Grafana k6 Cloud if your observability already lives in Grafana and you want the first party managed option.
- Choose a managed platform like LoadFocus if you want distributed, multi region k6 runs with no infrastructure to manage, predictable pricing, and you would rather not run performance testing inside Grafana Cloud.
And these are not mutually exclusive. Plenty of teams use the free OSS binary for quick local checks and a managed cloud for the large, multi region runs that actually need scale.
Run k6 in the cloud with LoadFocus
Bring your existing k6 JavaScript script, run it from 25+ cloud regions, set pass and fail thresholds, and get AI powered analysis that explains the results, with no load generators to manage. Start a free load test or see how cloud load testing works. Prefer JMeter? The same platform also runs JMeter cloud load testing from your .jmx files.
Frequently asked questions
Is k6 free?
Yes. The k6 open source binary is free under the AGPL licence and you can run large tests with it. What is not free is the infrastructure and the operations work required to run k6 at scale across multiple regions, or the managed cloud services that handle that for you.
Is Grafana k6 Cloud free?
Grafana k6 Cloud has a limited free tier, but distributed, multi region tests at meaningful scale require a paid subscription. The pricing is based on virtual user hours and test size, so check Grafana’s current plans for exact figures.
How do I run k6 in the cloud without Grafana?
Use a managed cloud load testing platform that runs your k6 scripts for you, such as LoadFocus, where you upload your k6 script and run it from 25+ regions with no infrastructure to manage. Alternatively, self host distributed k6 on your own cloud machines, for example with the k6 Operator on Kubernetes.
How do I run distributed k6 tests?
There are three options: self host by running multiple k6 instances or the k6 Operator on Kubernetes and aggregating the results, use Grafana k6 Cloud, or use a managed platform that distributes the run across regions for you. The first is free but operationally heavy; the other two are managed.
How many virtual users can k6 generate?
A single k6 instance can drive thousands of virtual users efficiently thanks to its Go based, goroutine model. To go higher, or to generate load from several regions at once, you distribute the test across multiple generators, which is what a cloud platform handles automatically.
Related reading: Cloud k6 load testing · Cloud load testing platform · Free load testing tool