AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

PostTrainBench Lite

PostTrainBench Lite measures whether an agent can design and execute a full post-training strategy (data, prompts, RL recipe, and eval loop) for a pretrained base model under a constrained time budget, scored as normalized mean reward over the improvement window.

Evaluation context and evidence

Source
LLM Stats
Publisher
Not recorded
Benchmark release
Not recorded
Collected
2026-08-17
Modality
text

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 3

Shown in source observation order, not ranked. Dates retain the precision provided by the source.

ModelValueUnitProtocolReported date and basisSource
GPT-5.6 Terra0.515Not recordedNot recorded2026-07-09 · model_announcementLLM Stats
GPT-5.6 Sol0.503Not recordedNot recorded2026-07-09 · model_announcementLLM Stats
GPT-5.6 Luna0.296Not recordedNot recorded2026-07-09 · model_announcementLLM Stats