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.
Kimi K2.7 Code from Moonshot AI currently leads the MLS-Bench Lite leaderboard with a score of 0.351 across 1 evaluated AI models.
What MLS-Bench Lite measures
MLS-Bench Lite is a text benchmark that evaluates large language models on reasoning, agents, and coding tasks. LLM Stats tracks 1 model on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.4, with the leader reaching 0.4.
Compare leaders on the best AI for reasoning, best AI for agents and best AI for coding leaderboards.
Kimi K2.7 Code leads with 35.1%.
Progress Over Time
Interactive timeline showing model performance evolution on MLS-Bench Lite
MLS-Bench Lite Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Moonshot AI | 1.0T | 262K | $0.95 / $4.00 |
FAQ
Common questions about MLS-Bench Lite.
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