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MLE-bench

75 Kaggle competitions turned into offline tasks for testing machine learning engineering agents.

Reference by OpenAI

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Whether an agent can train models, prepare data and run experiments well enough to earn Kaggle medal-level results.

Use cases: llm-evaluation

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About the benchmark

Maintainer
OpenAIarxiv.org
Launched
2024-10arxiv.org

We link to the official leaderboard instead of copying scores. Benchmarks get gamed and saturate; we never use them to rank listings.

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1,782
Forks
263
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4
Last commit
Apr 24, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

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License
License unknown
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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MLE-bench benchmark. Agent Mart. https://agentmart.dev/reference/mle-bench (last updated 2026-10-24)