MMLU-by-task - Abstract Algebra: leaderboard

The "Abstract Algebra" 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
1trurl-2-13B-academic39#1413
2MythoMax-L2-13B37#1409
3Llama 2 70B Chat36#1237
4Llama 2 70B Chat (HF)35#1264
5Phi-1.534#1549
6CodeLlama-34B-hf34#1515
7MPT-30B-Chat34#1451
8LongChat-7B-v1.5-32k34#1519
9WizardCoder-15B-V1.034#1588
10Llama 2 70B Base33#1025
11mpt-30B Instruct33#1470
12CodeLlama-7B-Instruct-hf33#1545
13vicuna-33B-v1.333#1347
14Llama 2 7B 32K Instruct33#1508
15Xwin-LM-70B-V0.133#982

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-abstract-algebra · How It Works · Data refreshed daily, snapshot 2026-10-20.