HELM Classic - TruthfulQA: leaderboard

The "TruthfulQA" 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. 67 models tracked.

Top models

#ModelScoreOverall rank
1Palmyra X (43B)61.57#1317
2text-davinci-00260.96#1225
3text-davinci-00359.33#1146
4Llama 2 70B55.35#1201
5LLaMA-65B50.76#1303
6Mistral-7B-v0.142.2#1326
7vicuna-13B-v1.338.53#1447
8falcon-40B Instruct38.38#1458
9falcon-40B35.32#1442
10LLaMA-30B34.4#1423
11GPT-3.5 Turbo (0613)33.94#1118
12Llama 2 13B33.03#1436
13LLaMA-13B32.42#1516
14vicuna-7B-v1.329.2#1507
15LLaMA-7B27.98#1564

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