MLE-Bench Lite
MLE-Bench Lite evaluates AI agents on machine learning engineering tasks, testing their ability to build, train, and optimize ML models for Kaggle-style competitions in a lightweight evaluation format.
MiniMax M2.7 from MiniMax currently leads the MLE-Bench Lite leaderboard with a score of 0.666 across 1 evaluated AI models.
MiniMax M2.7 leads with 66.6%.
Progress Over Time
Interactive timeline showing model performance evolution on MLE-Bench Lite
MLE-Bench Lite Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  MiniMax | — | 205K | $0.30 / $1.20 |
FAQ
Common questions about MLE-Bench Lite.
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