OpenAI Evals
The original benchmark harness. Simple, standard, still useful.
85
sovereigntyOpenAI Evals is the framework and registry that popularised systematic LLM evaluation. It provides a standard harness for running benchmark-style evaluations and a public registry of existing ones, so comparing against a known suite is a command rather than a project. It is less actively developed than the others here and less suited to application-level regression testing, but for running or extending a standard benchmark it remains the shortest path. MIT licensed.
OPEN SOURCEMITSELF-HOSTLOCAL-FIRST
LicenseMIT
PricingFree, MIT. You pay for whatever model API the evals call.
Open sourceYes
Self-hostableYes
Local-first dataYes
What it does well
- +Large registry of existing benchmark evaluations
- +Simple, well-understood format that many teams already know
- +Straightforward to extend with your own cases
- +MIT licensed
Where it falls short
- −Development pace has slowed relative to the alternatives
- −Oriented to benchmarks, not application regression testing
- −Weaker RAG and agent evaluation support than the others
OpenAI Evals as an alternative to
Where OpenAI Evals shows up in our comparisons, and how it ranked.
OpenAI Evals head-to-head
Straight comparisons against the tools people weigh it against.