openai/evals
OfficialEvals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
OpenAI Evals holds 18,145 GitHub stars as the original framework teams trust for rigorous LLM testing. Developers use it to benchmark RAG pipelines, coding performance, and production AI systems against shiny newcomers like DeepEval or Braintrust.
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Our Review
OpenAI Evals serves as the official open-source framework from OpenAI for evaluating LLMs and systems -- 18,145 GitHub stars and 2,913 forks as of April 2026. It combines OpenAI's testing methodology with a community registry of benchmarks, model-agnostic via Completion Function Protocol.
What OpenAI Evals does:
- •Standard benchmarks Test OpenAI models like GPT-4o and o3 on community-contributed evals for reasoning, coding, and more.
- •Custom evals Write tests for exact match, includes, model-graded, or code execution to fit your use case.
- •Completion Function Protocol Plug in any LLM endpoint, from Claude to Gemini, not just OpenAI APIs.
- •CLI runner Execute evals fast with `oaieval <completion_fn> <eval>` for batch processing and CI pipelines.
- •Snowflake logging Store enterprise-scale results in Snowflake for analysis and tracking.
- •Git LFS support Handle large benchmark datasets without repo bloat.
- •Private evals Run tests on your data without public exposure.
OpenAI Evals ecosystem:
- •Benchmark registry Submit and pull open-source evals from hundreds of contributors.
- •OpenAI Eval Dashboard Pair with platform.openai.com for UI runs alongside code-first control.
Getting started:
Clone the repo, install with pip install evals. Set up a completion function for your model. Run oaieval gpt-4o hellaswag to test on a standard benchmark. Check docs for custom eval templates and registry submission.
Limitations:
Requires an OpenAI API key for running completions -- API costs apply per eval run. Custom license (NOASSERTION) restricts commercial redistribution -- check OpenAI terms before embedding in products. Large benchmark datasets need Git LFS; initial setup adds friction. No GUI: all evals run via CLI or Python, making it inaccessible without Python skills.
Cons
- CLI-only interface demands Python skills -- no beginner-friendly GUI.
- Custom license restricts some commercial uses -- check OpenAI terms.
- Large datasets require Git LFS setup and storage space.
- Focuses on benchmarks over real-time tracing like LangSmith.
Our Verdict
OpenAI Evals updated on April 6, 2026, remains the go-to for developers needing OpenAI's exact eval standards.
Developers benchmark RAG quality, coding agents, and production LLMs with custom logic and community tests. Batch runs and CI integration speed up iteration.
Skip if you want SaaS polish -- use Braintrust instead. Pick Evals for code control and free scale.
Frequently Asked Questions
What is OpenAI Evals and what can I evaluate with it?
OpenAI Evals is OpenAI's framework for LLM benchmarks and custom tests. You evaluate reasoning, coding, RAG retrieval, and safety on models like GPT-4o. The registry holds 500+ community evals as of 2026.
Is OpenAI Evals free to use in 2026?
OpenAI Evals stays free and open-source in 2026 under its custom license. You pay only for API calls to models during runs. Last push on April 6 confirms active maintenance.
OpenAI Evals vs Braintrust vs DeepEval -- which is best for LLM testing?
OpenAI Evals suits broad LLM quality tests with official benchmarks. Braintrust adds SaaS UI for teams; DeepEval specializes in RAG metrics. Choose OpenAI Evals for code-first flexibility, Braintrust for dashboards, DeepEval for RAG focus.
Can I use OpenAI Evals with non-OpenAI models like Claude or Gemini?
OpenAI Evals supports any LLM via Completion Function Protocol. Implement a function for Anthropic or Google APIs. Run `oaieval claude-3-opus hellaswag` after setup.
How do I run my first eval with the OpenAI Evals framework?
Install via `pip install evals` from OpenAI's repo. Define a completion function for your model. Execute `oaieval gpt-4o cram` to benchmark coding instantly. See README for full templates.
What is evals?
OpenAI Evals holds 18,145 GitHub stars as the original framework teams trust for rigorous LLM testing. Developers use it to benchmark RAG pipelines, coding performance, and production AI systems against shiny newcomers like DeepEval or Braintrust.
What license does evals use?
evals uses the Other license.
What are alternatives to evals?
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Great for: Pro Vibe Builders
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Open source & community-verified
Other licensed — free to use in any project, no strings attached. 18,231 developers have starred this, meaning the community has reviewed and trusted it.
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