codex-caGeek

Based on the available evidence, this is best treated as a lightweight personal testing script rather than a formal evaluation framework. Its value is not broad model measurement, but repeatedly asking one fixed candy-math question through Codex CLI to generate quick comparison samples across models and reasoning-effort settings.

In practice, it works more like a small regression or stability checker for Codex CLI than a general LLM benchmarking platform. It could be mistaken for a serious benchmark suite, but a better analogy is a single-question comparison harness: useful for spotting variance, degradation, or obvious setting differences on the same prompt.

On setup and cost, the evidence only supports that it is a lightweight Python script. Running it likely still requires a working Codex CLI environment and whatever model usage costs apply, but there is no official pricing, API fee detail, or reliable cost guidance in the evidence. So the conservative take is that the setup burden is probably low, while actual cost depends on model choice and run frequency; evidence remains limited.