Question 1

What is MLE-Bench?

Accepted Answer

: Can the AI do the work of a machine-learning engineer? It competes in real Kaggle competitions — building, training, and tuning models end to end — and the score reflects how well it places. Higher is better.
: Gemini 3.6 Flash by Google holds the best MLE-Bench result among tracked models, at 63.9% (released Jul 21 2026). Higher scores are better on this benchmark.
: 1. Gemini 3.6 Flash (Google) — 63.9%; 2. Gemini 3.5 Flash (Google) — 49.7%; 3. Gemini 3.1 Pro (Google) — 42.6%.
: 3 tracked models have a published MLE-Bench score. Scores are collected from published lab reports and benchmark sources, with recorded sources credited alongside the results. We do not re-run the evaluations.

Question 2

Which AI model scores highest on MLE-Bench?

Accepted Answer

Gemini 3.6 Flash by Google holds the best MLE-Bench result among tracked models, at 63.9% (released Jul 21 2026). Higher scores are better on this benchmark.

Question 3

What are the top 3 models on MLE-Bench?

Accepted Answer

1. Gemini 3.6 Flash (Google) — 63.9%; 2. Gemini 3.5 Flash (Google) — 49.7%; 3. Gemini 3.1 Pro (Google) — 42.6%.

Question 4

How many models have a published MLE-Bench score?

Accepted Answer

3 tracked models have a published MLE-Bench score. Scores are collected from published lab reports and benchmark sources, with recorded sources credited alongside the results. We do not re-run the evaluations.

MLE-Bench

Rankings

MLE-Bench — frequently asked questions