cruxeval_input_cot: by models

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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)
qwen2.5-coder-32b-instruct 74.2 82.1 48.8 2 1.5 1.2 1
google_gemma_3_27b_it 68.9 81.1 44.1 3 1.6 1.3 1
qwen2.5-coder-14b-instruct 62.7 81.8 39.7 3 1.7 1.1 1.3
google_gemma_3_12b_it 61.3 78.2 37.7 4 1.7 1.3 1.1
qwen2-72b-instruct 53.8 66.9 32.2 2 1.8 1.2 1.3
llama-3.1-70B-instruct 53.1 53.1 32.1 4 1.8 1.8 0
google_gemma_2_27b_it 52.8 65 31.4 2 1.8 1.3 1.2
mistralai_mixtral_8x22b_instruct_v0.1 48.5 70 28.7 3 1.8 1.2 1.3
qwen2.5-coder-7b-instruct 46.7 70 27.6 4 1.8 1.2 1.3
google_gemma_3_4b_it 43.8 69.5 25.4 5 1.8 1.2 1.2
qwen1.5-72b-chat 43.6 58.4 25.2 2 1.8 1.1 1.4
google_gemma_2_9b_it 42.7 60.4 24.1 3 1.7 1.3 1.2
google_codegemma_1.1_7b_it 40.5 70 23.3 5 1.7 1.1 1.3
qwen3-4b 39 59 22.2 4 1.7 1.3 1.1
qwen2.5-coder-3b-instruct 38.9 66.6 22.3 4 1.7 1 1.4
qwen1.5-32b-chat 37.5 57.2 20.6 3 1.7 1.2 1.3
qwen3-1.7b 37.2 59.4 21 4 1.7 1.2 1.2
qwen2-math-72b-instruct 35.8 51.2 20.4 2 1.7 0.97 1.4
qwen1.5-14b-chat 35.4 54 19.4 3 1.7 1.2 1.2
deepseek_r1_distill_llama_70b 34.1 45.4 18.7 2 1.7 1.2 1.2
deepseek_r1_distill_qwen_14b 34.1 58.5 18.9 4 1.7 1.1 1.3
mistralai_ministral_8b_instruct_2410 32.2 57.5 17.2 4 1.7 1.1 1.3
mistralai_mathstral_7b_v0.1 32.2 56 17.2 4 1.7 1.1 1.2
qwen3-32b 31.3 46.2 17.1 3 1.6 1.2 1.1
qwen2-7b-instruct 31 56.5 16.6 4 1.6 1 1.3
qwen3-14b 29.7 40.1 15.9 3 1.6 1.3 0.91
llama-3.1-8B-instruct 27.6 27.6 14.9 7 1.6 1.6 0
google_gemma_7b_it 27.6 53.2 15.9 4 1.6 0.91 1.3
mistralai_mixtral_8x7b_instruct_v0.1 26.1 45.8 13.8 3 1.6 0.96 1.2
mistralai_mistral_7b_instruct_v0.3 25.6 46.6 13 4 1.5 1 1.1
qwen2.5-coder-1.5b-instruct 24 52 13.1 4 1.5 0.79 1.3
deepseek_r1_distill_llama_8b 23.7 43.4 12 4 1.5 1 1.1
qwen1.5-7b-chat 22.7 39 11.9 3 1.5 0.96 1.1
llama-3.2-3B-instruct 21.2 21.2 11.6 10 1.4 1.4 0
deepseek_v2_lite_chat 21.2 40.2 11 3 1.4 0.82 1.2
qwen3-8b 18.6 33.2 10 3 1.4 0.87 1.1
qwen2.5-coder-0.5b-instruct 18 48.5 10.4 5 1.4 0.62 1.2
mistralai_mistral_7b_instruct_v0.2 17.3 39.5 8.83 4 1.3 0.7 1.1
qwen3-0.6b 15.4 40.8 8.46 5 1.3 0.65 1.1
google_gemma_2b_it 15.3 36.6 9.39 4 1.3 0.67 1.1
mistralai_mistral_7b_instruct_v0.1 13.6 33.4 6.84 4 1.2 0.6 1.1
deepseek_r1_distill_qwen_7b 12 28.9 5.92 4 1.1 0.58 0.99
qwen2-math-7b-instruct 7.44 22.1 3.89 4 0.93 0.38 0.85
qwen2-1.5b-instruct 6.72 21.1 3.64 4 0.89 0.28 0.84
llama-3.2-1B-instruct 3.62 3.62 2.07 13 0.66 0.66 0
deepseek_r1_distill_qwen_32b 3.5 6.62 1.66 2 0.65 0.18 0.62
qwen2-0.5b-instruct 1.95 9 1.03 5 0.49 0.068 0.48
qwen2-math-1.5b-instruct 1.84 6.75 0.915 4 0.48 0.094 0.47
deepseek_r1_distill_qwen_1.5b 1.78 6 0.722 4 0.47 0.15 0.44
qwen1.5-1.8b-chat 1.04 3.12 0.616 3 0.36 0 0.36
qwen1.5-0.5b-chat 0.375 1.88 0.167 5 0.22 0 0.22
google_gemma_3_1b_it 0.0938 0.375 0.0484 4 0.11 0 0.11