HELM Classic - LSAT: leaderboard

The "LSAT" subtask of HELM Classic. A scenario from Stanford HELM Classic, the holistic evaluation suite scoring language models across accuracy, robustness and calibration on a broad set of tasks.

Metric: Exact Match (%). Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 69 models tracked.

Top models

#ModelScoreOverall rank
1mpt-30B24.78#1476
2RedPajama-INCITE-7B-Instruct24.35#1566
3Llama 2 13B23.48#1436
4Llama 2 70B23.48#1201
5text-davinci-00323.33#1146
6text-davinci-00222.9#1225
7Palmyra X (43B)22.46#1317
8alpaca-7B22.17#1611
9OPT-175B22.03#1538
10Mistral-7B-v0.121.3#1326
11LLaMA-65B21.3#1303
12mpt-30B Instruct21.3#1470
13RedPajama-INCITE-Base-3B-v121.3#1618
14falcon-40B21.3#1442
15LLaMA-30B21.3#1423

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

Interactive version: theaggregate.ai/benchmark?slug=helm-classic-lsat · How It Works · Data refreshed daily, snapshot 2026-10-20.