WeirdML
Unusual machine-learning tasks the model must solve end to end by writing and running training code.
Writing, fixing and shipping real code, judged by tests or users. One of 7 comparable tests in coding, a category the Index averages.
Publisher: Håvard IhleWhat a model is asked to do
Solve an unusual machine-learning task end to end: write the training code, run it, and hit an accuracy target.
For exampleClassify the shapes in these noisy 32 by 32 images, where the label depends on rotation, using only the small training set provided.
Why it matters. Real machine-learning work is messy and unfamiliar. This rewards models that can experiment rather than recite a tutorial.
The example is original and illustrative, not an item from the dataset.
- Models scored here
- 69
- Who produced the numbers
- Official leaderboard
- Best published result
- 92.9%
- License
- CC BY 4.0 (via Epoch AI)
- Direction
- Higher is better
- Scale
- Published as a share of items solved. For the Index, each score is a share of the best published result (92.9%), so the frontier reads 100. Guessing earns nothing on this test, so no chance correction applies.
- Provenance
- Produced by the benchmark's own leaderboard or a third-party evaluator, not by the model's maker.
Snapshot September 8, 2026
Ranking on this test
69 models on WeirdML
Best published run per model, and how close each one comes to the best published result on this test (the frontier reads 100). Every number links to the publisher that produced it. Internal runs are marked and carry their run details on the model page.
The best models, ranked here, working inside Theo.
28 of the models on this page run inside Theo today. Theo picks the right one for each step and always shows which engine answered.