AISLE
Leaderboard
Overall and category scores for the AISLE evaluation.
These are results from a fixed research cohort, not a live ranking of today’s models. The two indices use different task sets and must not be compared directly.
AISLE · 5 models
#ModelOverallCategory contributions
0255075100
Equal category weights. Select a category above or a model for details.
Detailed scores
Select a model to view category scores.
Full-task index
Equal weight across all four categories, restricted to five models with full coverage.
| Rank | Model | Overall / 100 | Optimization | Safety | Robustness | Multimodal |
|---|---|---|---|---|---|---|
| 01 | OpenAI | 42.02 | 25.95 | 33.33 | 74.92 | 33.86 |
| 02 | Qwen | 28.36 | 26.13 | 4.44 | 65.16 | 17.71 |
| 03 | Anthropic | 24.25 | 10.27 | 8.89 | 52.58 | 25.27 |
| 04 | 19.54 | 28.47 | 0.00 | 29.28 | 20.42 | |
| 05 | Moonshot AI | 16.09 | 7.00 | 0.00 | 34.73 | 22.62 |
Rank uses the overall score. In shared tasks, multimodal is displayed but excluded from the overall score. N/A means not evaluated.
Scores are equally weighted category indices, not success rates. Shared tasks compare seven models across three categories; full tasks compare five models across four categories. N/A results are excluded, not scored as zero. Scoring details ↗