AISLE

Leaderboard

Overall and category scores for the AISLE evaluation.

Score range: 0–100Website snapshot: 27 Oct 2026
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 · 7 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.

Shared-task index

Equal weight across optimization, safety and adaptive robustness.

0–100
Study scores from 0 to 100. Rank refers to the aggregate score.
RankModelOverall / 100OptimizationSafetyRobustnessMultimodal
01OpenAI 44.7325.9533.3374.9233.86
02Z.ai 32.2723.804.4468.57N/A
03Qwen 31.9126.134.4465.1617.71
04Anthropic 23.9110.278.8952.5825.27
05Google 19.2528.470.0029.2820.42
06DeepSeek 17.0513.830.0037.32N/A
07Moonshot AI 13.917.000.0034.7322.62

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 ↗