Locust vs BlazeMeter
Feature checklists rarely decide anything. What decides it is the pricing metric, who has to write the tests, and which limitation you can live with.
Entry price
Free and open source
Open sourceFrom $149 per month (indicative entry plan)
Free tierWhat drives the bill
The metric that actually scales your invoice.
Free and open source. You pay in engineering time and CI minutes.
Priced by concurrent virtual users. Large enterprise tests are a substantial annual commitment.
Free tier
Everything, self-hosted
Free tier with a small virtual-user cap and limited test duration.
Open source
MIT
Self-hostable
No-code authoring
Languages
Platforms
Fits teams
Adoption
Widely used
OSS community · since 2011
Widely used
Broadcom · since 2011
Strengths
- Test scenarios are plain Python, so any logic is expressible without workarounds.
- Distributed mode is conceptually simple and works well on Kubernetes.
- Live web UI is useful during an exploratory ramp-up.
- Runs your existing open-source scripts unchanged — no migration cost.
- Global load generation from many regions without owning infrastructure.
- Reporting and trend analysis suited to handing results to management.
Limitations
- Python's per-user overhead is higher than k6 or Gatling; big loads need more machines.
- Reporting is basic — plan on exporting to Grafana.
- HTTP-centric; other protocols require writing your own client.
- Expensive relative to running the same open-source scripts on your own machines.
- Virtual-user pricing makes frequent large tests costly.
- Adds a vendor to a workflow that can function entirely on open source.
Best for
Python teams who want load scenarios expressed in their own language.
Enterprises with existing JMeter estates that need scale and reporting without building it.
Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.