OpenAI Evals
Framework for evaluating and benchmarking large language models and LLM-based systems
- Vendor
- OpenAI
- Also known as
- openai-evals
What is OpenAI Evals?
An open-source framework providing a registry of evaluation tests for LLMs, with the ability to create custom evaluations and test models against your own data through code-free configuration.
OpenAI Evals pricing
We don't have OpenAI Evals's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What OpenAI Evals does
The capabilities that matter for ai evals testing, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Architecture model
- Open source CLI
- LLM as a judge prompt grading framework
- ✓
- Specialized rag metrics faithfulness context relevance
- -
- Deterministic regex and json schema assertions
- ✓
- Synthetic test dataset generation from documents
- ✓
- Ci cd github actions pipeline blocking gates
- ✓
- Red teaming and adversarial vulnerability scanning
- -
- Multi model side by side ab regression testing
- -
- Human in the loop hitl annotation UI
- -
- Dashboard analytics for metric drift over time
- -
- SOC2 type ii
- -
- Mit or apache permissive oss license
- ✓
- Pricing model
- Free open source
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
- Self-hosted
Integrations (3)
Independently observed- OpenAI API
- Snowflake
- GitHub
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
OpenAI Evals FAQ
Common questions about OpenAI Evals, answered from independent, dated evidence.
What is OpenAI Evals?
A framework that lets developers create and run evaluations to measure LLM performance, providing both pre-built benchmarks and tools to write custom tests tailored to specific use cases without requiring proprietary evaluation infrastructure. It is indexed under AI Evals Testing.
Source: https://github.com/pricing
Is OpenAI Evals free?
OpenAI Evals offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.
Source: https://github.com/pricing
What platforms does OpenAI Evals support?
OpenAI Evals supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://github.com/pricing
Can OpenAI Evals be self-hosted?
Yes. OpenAI Evals can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://github.com/pricing
What does OpenAI Evals integrate with?
We have confirmed 3 integrations for OpenAI Evals, including OpenAI API, Snowflake and GitHub. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://github.com/pricing
OpenAI Evals alternatives
Other ai evals testing we track, ranked by the same independent score.
- Patronus AIAutomated evaluation and monitoring platform for testing and optimizing language models and AI agentslow · 30%
- TruLensA library for tracking and evaluating LLM applications to identify failure points and cost-saving opportunities.low · 29%
- LM Evaluation HarnessAn open-source framework for evaluating and benchmarking language modelslow · 35%
- GalileoAI evaluation and observability platform for testing, monitoring, and improving AI systemslow · 7%
Compare OpenAI Evals
Side by side against other ai evals testing, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for OpenAI Evals, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 75 | 0.08 | 6.2 | ✓ |
| Stars | 81 | 0.03 | 2.7 | ✓ |
| Integrations | 17 | 0.05 | 0.9 | ✓ |
| Dependent projects | 5 | 0.08 | 0.4 | ✓ |
| Development activity | 0 | 0.12 | 0.0 | ✓ |
| Release cadence | 0 | 0.07 | 0.0 | - |
| Security posture | 5 | 0.09 | 0.0 | - |
| Package downloads | 0 | 0.17 | 0.0 | - |
| Security score | 0 | 0.05 | 0.0 | - |
| Developer Q&A activity | 0 | 0.08 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 0 | mediumsource · 2026-10-14 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 5 items | mediumsource · 2026-09-10 · 60% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Pricing model: free_open_source · Architecture model: open_source_cli · Mit or apache permissive oss license: Yes · Llm as a judge prompt grading framework: Yes · Ci cd github actions pipeline blocking gates: Yes · Deterministic regex and json schema assertions: Yes | mediumsource · 2026-10-14 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 3 | mediumsource · 2026-08-21 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-10-14 · 90% |
Pricing
Security
| Attribute | Value | Evidence |
|---|---|---|
| Disclosure policy | Yes | mediumsource · 2026-08-21 · 60% |
| Vulnerabilities | Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=go&package_name=github.com%2Fopenai%2Fevals&per_page=100 · Last 12m: 0 | highsource · 2026-10-14 · 90% |
| Trust center | https://github.com/security | mediumsource · 2026-10-14 · 60% |
Is OpenAI Evals the right choice for you?
Tell us the job, the constraints and what you weigh most, and we will rank OpenAI Evals against the rest of the ai evals testing we index, using the same dated evidence weighted your way.
Free to run, no account needed to start. How the evaluation works
Is this your product?
This profile was built from public sources without asking you. You can take the badge below and use it anywhere, and you can claim the profile to correct anything we got wrong. Both are free, and neither moves OpenAI Evals up or down: nobody can buy rank here, including you.
Take the badge
Live, always current, and free to use on your own site. It shows OpenAI Evals's independent score and links back to this profile.
<a href="https://www.vioscale.ai/software/openai-evals" target="_blank" rel="noopener">
<img src="https://www.vioscale.ai/badge/software/openai-evals.svg" alt="OpenAI Evals, verified on vioscaleAI" width="330" height="76" loading="lazy" />
</a>Markdown, for a README →
[](https://www.vioscale.ai/software/openai-evals)Claim the profile
Verify you control the domain, then point us at the pages that state the facts about OpenAI Evals and add your own description and media. Free, and it does not change the score.
- Correct anything wrong, with evidence
- Point our crawler at the pages that matter
- Write your own description and add media
Not the owner? How vendor profiles work