OpenAI Evals
FreeOpen framework for evaluating LLMs and model outputs with customizable benchmarks.
Tool Info
Categories
Evaluation
Developer
OpenAI
License
Open Source
Official Website
Repository
Overview
OpenAI Evals is a framework for creating and running evaluations against language models.
It includes a registry of community evals and supports model-graded scoring.
Used for benchmarking models and tracking capability improvements.
Features
- Eval registry
- Model-graded evals
- Custom eval templates
- OpenAI API integration
Pricing
Free tier available
Free (open source)
Pros
- OpenAI-maintained
- Extensible eval format
- Large eval library
Best For
Custom LLM benchmarksModel comparisonResearch evaluations
When NOT to Use
- Less RAG-specific than RAGAS
- Requires eval design expertise
Typical Users
ResearchersModel teamsAI labs
Related Tools
Alternatives
Tags
#evaluation#openai#benchmark
Related Guides
- LLM Evaluation
Measuring LLM output quality - automated metrics, human eval, LLM-as-judge, and building eval pipelines.
- Benchmarks
MMLU, HumanEval, MTEB, and domain benchmarks - what they measure and how to use them without gaming metrics.
- Evaluation
Learn how to measure and improve the quality, accuracy, and reliability of AI systems.
Stay Updated
Get the latest AI news, tools, and engineering guides delivered to your inbox.
Subscribe to Newsletter