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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)
qwen3-32b 92 95.7 42.1 3 2.8 2.1 1.9
qwen3-14b 90.2 95.7 40.6 3 3.1 2.2 2.2
qwen3-8b 86.2 94.6 38.5 3 3.6 2.5 2.6
qwen2.5-coder-32b-instruct 85.9 90.2 37.7 2 3.6 2.9 2.2
google_gemma_3_27b_it 83.3 88 35.6 3 3.9 3.5 1.8
qwen2-72b-instruct 82.1 90.2 36.1 2 4 2.7 3
deepseek_r1_distill_qwen_32b 81.5 88 36.4 2 4 3 2.7
qwen3-4b 81.2 92.4 35 4 4.1 3 2.8
deepseek_r1_distill_llama_70b 81 84.8 35.3 2 4.1 3.6 2
google_gemma_3_12b_it 78.8 89.1 33.4 4 4.3 3.4 2.5
deepseek_r1_distill_qwen_14b 78.5 87 34 4 4.3 3.5 2.5
google_gemma_2_27b_it 78.3 85.9 33.3 2 4.3 3.2 2.9
mistralai_mixtral_8x22b_instruct_v0.1 77.5 91.3 33.7 3 4.4 2.7 3.4
qwen2.5-coder-14b-instruct 76.1 89.1 32 3 4.4 3 3.3
google_gemma_2_9b_it 72.3 85.9 30.2 4 4.7 3.6 3
qwen1.5-72b-chat 66.8 80.4 28.2 2 4.9 3.1 3.8
qwen1.5-32b-chat 66.3 84.8 27.2 3 4.9 3.3 3.7
qwen2-math-72b-instruct 64.7 83.7 28 2 5 2 4.5
google_gemma_3_4b_it 64.1 82.6 26.1 5 5 3.7 3.4
qwen2.5-coder-7b-instruct 63 91.3 26 4 5 3 4.1
qwen3-1.7b 61.7 84.8 25.2 4 5.1 3.3 3.9
deepseek_r1_distill_qwen_7b 61.7 78.3 25.7 4 5.1 3.8 3.4
deepseek_r1_distill_llama_8b 59.2 79.3 23.3 4 5.1 3.6 3.6
llama-3.1-8B-instruct 58.7 58.7 24.7 7 5.1 5.1 0
mistralai_mixtral_8x7b_instruct_v0.1 54.7 79.3 22.6 3 5.2 3.2 4.1
qwen2-math-7b-instruct 54.3 70.7 22.8 2 5.2 3 4.2
qwen1.5-14b-chat 53.3 76.1 21.3 3 5.2 3.2 4.1
qwen2-7b-instruct 50.8 81.5 20 4 5.2 2.9 4.3
mistralai_mathstral_7b_v0.1 50.5 83.7 19.7 4 5.2 2.9 4.3
mistralai_ministral_8b_instruct_2410 50.5 76.1 19.3 4 5.2 3.3 4
mistralai_mistral_7b_instruct_v0.3 46.5 77.2 18 4 5.2 3.1 4.2
qwen3-0.6b 43.3 72.8 17.2 5 5.2 3.4 3.9
qwen2.5-coder-3b-instruct 39.7 76.1 15.7 4 5.1 2.4 4.5
deepseek_v2_lite_chat 39.5 62 15.4 3 5.1 3.1 4
mistralai_mistral_7b_instruct_v0.2 39.4 64.1 16 4 5.1 3.3 3.9
llama-3.2-3B-instruct 38 38 16.2 10 5.1 5.1 0
qwen1.5-7b-chat 38 63 15.1 3 5.1 2.8 4.2
google_gemma_7b_it 35.9 63 14.1 4 5 3.2 3.9
google_codegemma_1.1_7b_it 33.7 69.6 12.7 5 4.9 2.6 4.2
google_gemma_2b_it 32.1 40.2 11.8 4 4.9 4.3 2.3
mistralai_mistral_7b_instruct_v0.1 30.7 68.5 12.5 4 4.8 1.8 4.5
google_gemma_3_1b_it 29.9 58.7 11.7 4 4.8 2.8 3.8
deepseek_r1_distill_qwen_1.5b 26.4 52.2 10.2 4 4.6 2.5 3.8
qwen2-1.5b-instruct 26.4 59.8 10.8 4 4.6 1.9 4.2
qwen2.5-coder-1.5b-instruct 25.5 62 10.6 4 4.5 1.7 4.2
llama-3.2-1B-instruct 20.7 20.7 7.9 13 4.2 4.2 0
qwen2.5-coder-0.5b-instruct 12.6 47.8 5.66 5 3.5 0.53 3.4
qwen2-0.5b-instruct 12.2 46.7 5.53 5 3.4 0.53 3.4
qwen1.5-1.8b-chat 12 31.5 5.1 3 3.4 0.15 3.4
qwen2-math-1.5b-instruct 6.52 16.3 2.87 3 2.6 1.1 2.3
qwen1.5-0.5b-chat 5.65 25 2.64 5 2.4 0.085 2.4