Grafana k6
By Grafana Labs. Category: Performance testing with AI. Homepage
Grafana Labs' documentation describes Grafana k6 as an open-source load testing tool whose tests are JavaScript scripts run by the k6 runner. In Grafana Cloud, the Grafana Assistant's k6 Script Authoring mode generates test scripts from natural-language prompts. Tests run locally with the open-source CLI or in Grafana Cloud k6, including private load zones inside a customer network. The integration docs cover GitHub Actions, GitLab, CircleCI, Jenkins, Azure Pipelines and other CI systems. An experimental mcp-k6 server validates and runs scripts for AI agents. Grafana Labs announced its acquisition of k6 on 17 June 2021.
Description written from the vendor's documentation.
Status
Status: Acquired
Grafana Labs announced the acquisition of k6, the company behind the k6 open-source load testing tool. (2021-06-17)
Facts
| Fact | Value | Evidence | Source | Verified on |
|---|---|---|---|---|
| Status | Acquired | Documented | grafana.com | |
| AI capabilities | Documented | grafana.com | ||
| Test creation | Documented | grafana.com | ||
| Test output | Not documented | Not documented | None found | |
| Surfaces | Documented | grafana.com | ||
| Hosting | Documented | grafana.com | ||
| Pricing model | Documented | grafana.com | ||
| Free tier | Yes | Documented | grafana.com | |
| CI integrations | Documented | grafana.com | ||
| Self-healing | None documented | Not documented | None found | |
| Agent integration | mcp-k6 (experimental MCP server for k6: validate_script, run_script, documentation browsing, script generation) | Documented | github.com | |
| Open source | Yes, licence AGPL-3.0 | Documented | github.com |
Published prices
| Plan | Price | Billing |
|---|---|---|
| Free | $0 (Limited to 500 virtual user hours per month) | monthly |
| Pro | Starts at $0.150 / virtual user hour | pay-as-you-go after the included 500 VUh; platform fee $19 per month |
| Enterprise | Minimum commit of $25,000 per year | annual commit, custom pricing |
Vendor-stated, verbatim
What Grafana Labs says about its product, quoted as published and not confirmed in documentation.
“1 million concurrent virtual users”
“5 million requests/second”
“20 geographic locations”
Alternatives
Tools in the same category (Performance testing with AI), ordered by the number of shared creation and surface values, then by name. Each line lists documented facts that differ from Grafana k6.
- BlazeMeter: documents output Mixed; creation by recording; hosting hybrid; status acquired
- Gatling: documents hosting hybrid
- LoadFocus: Performance testing with AI; no documented difference in output, creation, hosting or free tier
- OctoPerf: documents creation by recording; hosting hybrid
- PFLB: Performance testing with AI; no documented difference in output, creation, hosting or free tier
- Tricentis NeoLoad: documents output Proprietary runner; creation by recording; hosting hybrid; status acquired
Questions
Is this page a review of Grafana k6?
No. This page is a fact sheet. Each fact shows its evidence level, its source and the date it was checked. We do not rate or rank tools.
Does Grafana k6 have a free tier?
Yes. Grafana k6 has a free tier. This is documented, checked on 2026-09-24.
What test output does Grafana k6 produce?
The test output format is not documented as of 2026-09-24.
Is Grafana k6 still available?
Status: Acquired, checked on 2026-09-24. The status note above gives the date and source.
Sources
- Grafana Cloud k6 product page Opened
- Grafana pricing Opened
- Grafana k6 documentation Opened
- k6 docs: Integrations Opened
- k6 docs: Automated performance testing Opened
- Grafana Cloud k6 documentation Opened
- Grafana Cloud docs: Use k6 Script Authoring mode Opened
- Blog: Generate test scripts from natural language with Grafana Assistant (2026-05-21) Opened
- GitHub: grafana/k6 Opened
- GitHub: grafana/mcp-k6 Opened
- Grafana Labs Brings Modern Open Source Load Testing to Observability with Acquisition of k6 Opened
Spotted an outdated or wrong fact about Grafana k6? Send the source and we apply it at the next monthly update.