AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

MLS-Bench Lite

MLS-Bench Lite is the official 30-task subset of MLS-Bench for evaluating whether AI systems can invent generalizable and scalable machine learning methods across LLM pretraining and post-training, robotics, world models, computer vision, reinforcement learning, optimization, ML systems, and AI for Science.

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
Kimi K30.483Not recordedNot recorded2026-07-16 · model_announcementLLM Stats
Qwen3.8 Max0.41Not recordedNot recorded2026-08-02 · model_announcementLLM Stats
Kimi K2.7 Code0.351Not recordedNot recorded2026-06-12 · model_announcementLLM Stats