OpenAI Evals
No phone app
5.9No. 15 of 30
in AI LLM Evaluation Tools
in AI LLM Evaluation Tools
- Recognised40% of the score20
- Phone app26% of the score0
- Documented20% of the score99
- Free plan14% of the score30
- Free plan
- No
- Runs on
- api, self-hosted, Web
Summary
OpenAI Evals is ranked #15 of 30 in AI LLM evaluation tools on Samsung Mobile US Press. It runs on API, Self-hosted, Web.
Compared on AI LLM evaluation tools
- Evaluation methods
- basic exact/match evaluations, model-graded evaluations, custom evaluation logic, academic benchmarks, meta-evaluationsevals.openai.com
- Model support
- OpenAI API models and custom CompletionFunction implementationsevals.openai.com
- Safety evaluations
- Yesevals.openai.com
- Deployment
- hybridevals.openai.com
- Prompt versioning
- Yesevals.openai.com
- API access
- Yesevals.openai.com
Facts
- Purpose
- Evals test model outputs against style and content criteria that you specify.developers.openai.com · 30 Sept 2026
- Dashboard and API
- You can configure evals in the OpenAI dashboard or programmatically with the Evals API.developers.openai.com · 30 Sept 2026
- Test data
- An eval run uses a test dataset representing the kind of data you expect your prompt to handle.developers.openai.com · 30 Sept 2026
- Third-party providers
- The listed third-party model providers are Google, Anthropic hosted on AWS Bedrock, Together, and Fireworks.developers.openai.com · 30 Sept 2026
- Third-party eligibility
- Using third-party models requires an OpenAI organization at usage tier 1 or higher and an admin to enable the feature and accept its usage disclaimer.developers.openai.com · 30 Sept 2026
- Third-party spend limits
- OpenAI currently covers third-party inference costs up to monthly limits of $5, $25, $50, $100, and $200 for usage tiers 1 through 5, respectively.developers.openai.com · 30 Sept 2026
- Custom endpoint security
- Custom model endpoints must use HTTPS, and OpenAI says it encrypts API keys supplied for them.developers.openai.com · 30 Sept 2026
- External model limits
- Tool calls are currently not supported when running evals with external models.developers.openai.com · 30 Sept 2026
- Data handling
- Calls to external models pass data to third parties and are subject to different terms and weaker safety guarantees than calls to OpenAI models.developers.openai.com · 30 Sept 2026
- Deprecation
- OpenAI says the Evals platform becomes read-only for existing users on October 31, 2026, and is scheduled to shut down on November 30, 2026.developers.openai.com · 30 Sept 2026
- Alternative
- OpenAI recommends trying Datasets for a more iterative environment to experiment while building an eval.developers.openai.com · 30 Sept 2026
- Dashboard
- Evals can be configured and run directly in the OpenAI Dashboard.github.com · 1 Oct 2026
- Private evaluations
- Users can build private evals from their own data without exposing that data publicly.github.com · 1 Oct 2026
- Evaluation criteria
- An eval uses a data-source schema and testing criteria consisting of graders that determine whether model output is correct.developers.openai.com · 1 Oct 2026
- Graders
- Supported grader types include string check, text similarity, score model, label model, and Python code execution graders.developers.openai.com · 1 Oct 2026
- External models
- The OpenAI Platform can run evals against third-party models and custom model endpoints.developers.openai.com · 1 Oct 2026
- Asynchronous scale
- Evals run asynchronously, support larger data volumes, and let users monitor performance across versions.developers.openai.com · 1 Oct 2026
- Local installation
- The open-source package can be installed locally with pip, and the repository requires Python 3.9 or newer.github.com · 1 Oct 2026
- Integrations
- The repository supports logging eval results to Snowflake and says evals can be run and created using Weights & Biases.github.com · 1 Oct 2026
- Usage cost
- Running evals requires an OpenAI API key and incurs the API costs associated with model usage.github.com · 1 Oct 2026
- Data residency
- The /v1/evals endpoint supports United States and Europe (EEA plus Switzerland) data residency, with service-level support listed.developers.openai.com · 1 Oct 2026
- Security compliance
- OpenAI states that its API business services have undergone an independent SOC 2 Type 2 examination and that it maintains ISO/IEC 27001:2022 and ISO/IEC 27701:2019 certifications for supporting systems.openai.com · 1 Oct 2026
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Sources
- developers.openai.com/api/docs/guides/evals· checked 30 Sept 2026
- developers.openai.com/api/docs/guides/external-models· checked 30 Sept 2026
- github.com/openai/evals· checked 1 Oct 2026
- developers.openai.com/api/docs/guides/evaluation-getting-star· checked 1 Oct 2026
- developers.openai.com/api/docs/guides/your-data· checked 1 Oct 2026
- openai.com/security-and-privacy/· checked 1 Oct 2026




