CRUXEval-output-T0.2: by models

Home Paper Code


SE predicted by accuracy

The typical standard errors between pairs of models on this dataset as a function of the absolute accuracy.

SE vs accuracy difference

The standard error of each model pair against their observed accuracy difference. Pairs below a reference line differ by more than the corresponding number of standard errors, i.e. they are statistically distinguishable at that level.

CDF of question level accuracy

Results table by model

model pass1 pass@count win_rate count SE(A) SE_x(A) SE_pred(A)
gpt-4-turbo-2024-04-09+cot 82 87.6 38.7 3 1.4 1.2 0.69
claude-3-opus-20240229+cot 82 82 38.8 1 1.4 NaN NaN
gpt-4-0613+cot 77.1 86.5 34.7 10 1.5 1.3 0.7
gpt-4o+cot 76 91 37.2 3 1.5 NaN NaN
gpt-4o 70 71.4 28.9 3 1.6 1.6 0.35
gpt-4-0613 68.7 71.1 27.7 10 1.6 1.6 0.34
gpt-4-turbo-2024-04-09 67.7 69.4 26.9 3 1.7 1.6 0.37
claude-3-opus-20240229 65.8 65.8 25.5 1 1.7 NaN NaN
gpt-3.5-turbo-0613+cot 59 76.2 22 10 1.7 1.5 0.93
deepseek-instruct-33b 49.9 54.9 14.5 10 1.8 1.7 0.49
gpt-3.5-turbo-0613 49.4 53.9 14.7 10 1.8 1.7 0.42
deepseek-base-33b 48.6 54.8 13.4 10 1.8 1.7 0.54
codetulu-2-34b 45.8 52.4 11.9 10 1.8 1.7 0.52
magicoder-ds-7b 44.4 50.6 11.4 10 1.8 1.7 0.54
codellama-34b+cot 43.6 69.8 13.3 10 1.8 1.4 1.1
deepseek-base-6.7b 43.5 51.2 10.9 10 1.8 1.6 0.6
wizard-34b 43.4 47.5 10.8 10 1.8 1.7 0.47
codellama-34b 42.4 50 10.2 10 1.7 1.6 0.59
codellama-python-34b 41.4 46.9 9.75 10 1.7 1.7 0.51
wizard-13b 41.3 47 9.73 10 1.7 1.7 0.53
deepseek-instruct-6.7b 41.2 45.1 9.74 10 1.7 1.7 0.43
mixtral-8x7b 40.5 49.5 9.27 10 1.7 1.6 0.62
codellama-python-13b 39.8 46.4 8.98 10 1.7 1.6 0.54
codellama-13b 39.7 48.1 8.98 10 1.7 1.6 0.59
phind 39.7 44.8 8.96 10 1.7 1.7 0.48
codellama-13b+cot 36 64.9 10.1 10 1.7 1.3 1.1
codellama-python-7b 35.9 42.9 8.02 10 1.7 1.6 0.56
mistral-7b 34.3 42.1 7.07 10 1.7 1.6 0.59
codellama-7b 34.2 41.9 6.81 10 1.7 1.6 0.6
starcoderbase-16b 34.2 41.5 7.2 10 1.7 1.6 0.57
phi-2 33.5 42.6 7.35 10 1.7 1.6 0.58
starcoderbase-7b 32.2 38.2 6.28 10 1.7 1.6 0.5
deepseek-base-1.3b 31 38.5 6.66 10 1.6 1.5 0.6
codellama-7b+cot 29.9 58.8 7.62 10 1.6 1.2 1.1
deepseek-instruct-1.3b 28.7 34.6 6 10 1.6 1.5 0.51
phi-1.5 27.5 35.2 6.77 10 1.6 1.5 0.59
phi-1 21.7 26.5 4.99 10 1.5 1.4 0.48