AI Potluck
Model components / Evaluation code

simple-evals

OpenAI

OpenAI's lightweight reference harness, used to produce the model cards for its GPT and o-series releases. It bundles zero-shot and chain-of-thought implementations of MMLU, MATH, GPQA, DROP, MGSM, HumanEval, SimpleQA, BrowseComp and HealthBench, each carrying its upstream terms.

Deprecated in July 2025 and no longer updated for new models or benchmarks; only the HealthBench, BrowseComp and SimpleQA reference implementations remain maintained. Verified 2026-08-13 via the openai/simple-evals repository, its license endpoint and its README.

Openness

5 high confidence
5.0
license
MIT(OSI)
source
public(reference eval implementations)
core-gated
ungated

Fully MIT-licensed, and MIT is an OSI license; purely a reference-implementation library with no gated core. The repo is frozen and its README carries only a deprecation notice, but a frozen repo is still a published one, so the source is still public and the core still ungated.

Adoption

2 low confidence
2.0

Run from source with no pip distribution, so there is no download signal; the one declared repo carries 4,598 stars and 503 forks, and that is the only measure available. A star count caps a level at 3, and 4,598 bands at 1K-10K stars, level 2 - stars have their own scale because a star is not a download. It sits at 2 rather than higher because the project is deprecated and frozen, and is used mainly as a reference for a few specific benchmarks (HealthBench, BrowseComp, SimpleQA) rather than as a live harness.

Capability

2 medium confidence
2.0

A deliberately minimal reference harness, now frozen: the README lists nine bundled benchmarks and says the repo is not actively maintained and takes no new evals. Narrow coverage and feature set next to the category leaders - HELM, Inspect AI and lm-evaluation-harness each sit three rungs above it.

Verified 2026-08-13