MMLU-by-task - Moral Disputes: leaderboard

The "Moral Disputes" subtask of MMLU-by-task. A single MMLU subject, reporting per-task multiple-choice accuracy from the MMLU-by-task leaderboard across a wide range of academic and professional domains.

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 1257 models tracked.

Top models

#ModelScoreOverall rank
1Xwin-LM-70B-V0.178.61#982
2Llama 2 70B Base77.75#1025
3StableBeluga277.46#1078
4Llama 2 70B Chat75.72#1237
5WizardLM-70B-V1.072.54#1236
6Llama 2 70B Chat (HF)71.68#1264
7Mistral-7B-v0.171.1#1326
8internlm-20B69.94#1296
9vicuna-33B-v1.368.5#1347
10OpenHermes-13B64.74#1393
11Chinese-Alpaca-2-13B62.43#1414
12MythoMax-L2-13B62.43#1409
13Llama 2 13B Chat Base61.27#1422
14falcon-40B Instruct61.27#1458
15trurl-2-13B-academic60.98#1413

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=mmlu-by-task-moral-disputes · How It Works · Data refreshed daily, snapshot 2026-10-20.