HELM EWoK - Quantitative Properties: leaderboard

HELM EWoK (Elements of World Knowledge, EWoK-CORE-1.0; release v1.0.0) quantitative properties domain: each target sentence is shown with two minimal-pair contexts and the model must pick the context that makes it plausible; 380 items, exact match. Percent correct, 0-100, higher is better; chance is 50.

Metric: Exact Match (%). Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 15 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 2 72B Instruct100#579
2Claude 3 Opus (20240229)100#428
3Claude 3.5 Sonnet (20240620)99.47#308
4GPT-4 Turbo98.68#417
5Claude 3 Sonnet (20240229)98.42#694
6GPT-4o (2024-05-13)98.16#337
7Llama 3 70B Instruct98.16#640
8Mixtral 8x22B Instruct98.16#738
9GPT-4o Mini (2024-07-18)97.63#568
10Claude 3 Haiku (20240307)96.84#780
11Mixtral 8x7B Instruct92.89#1085
12Mistral 7B Instruct (v0.3)91.32#1255
13GPT-3.5 Turbo (0125)90.79#975
14Claude 3.5 Haiku (20241022)90.53#590
15Llama 3 8B Instruct17.63#1116

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

Interactive version: theaggregate.ai/benchmark?slug=helm-ewok-quantitative-properties · How It Works · Data refreshed daily, snapshot 2026-11-05.