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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 94.2 100 40.7 11 2.4 1.8 1.6
qwen3-14b 90.9 98.9 38.2 12 3 2.4 1.8
qwen3-8b 87 100 36.3 12 3.5 2.6 2.4
qwen2.5-coder-32b-instruct 87 95.7 35.5 11 3.5 2.9 2
qwen2-72b-instruct 84.8 96.7 34.8 11 3.7 2.8 2.4
google_gemma_3_27b_it 84 92.4 33.3 12 3.8 3.4 1.8
deepseek_r1_distill_qwen_32b 83.6 92.4 34.6 11 3.9 3.1 2.3
deepseek_r1_distill_llama_70b 83.1 92.4 34.4 11 3.9 3.2 2.2
deepseek_r1_distill_qwen_14b 80.6 92.4 32.7 11 4.1 3.3 2.5
qwen3-4b 80 93.5 31.3 12 4.2 3.3 2.6
google_gemma_3_12b_it 78.5 87 30.7 11 4.3 3.8 2
qwen2.5-coder-14b-instruct 78.2 96.7 30.7 12 4.3 3 3
google_gemma_2_27b_it 75 94.6 29.4 10 4.5 3.4 2.9
qwen2-math-72b-instruct 74.6 100 29.9 11 4.5 2.7 3.7
mistralai_mixtral_8x22b_instruct_v0.1 74 93.5 29.7 11 4.6 3.3 3.2
qwen1.5-72b-chat 70.6 92.4 27.1 11 4.8 3.3 3.4
qwen1.5-32b-chat 70.3 93.5 26.8 11 4.8 3.3 3.4
google_gemma_2_9b_it 69.9 89.1 26.3 11 4.8 3.6 3.2
deepseek_r1_distill_qwen_7b 67.3 92.4 25.8 11 4.9 3.6 3.3
deepseek_r1_distill_llama_8b 66.8 92.4 25.5 13 4.9 3.4 3.5
google_gemma_3_4b_it 66.1 87 24.8 13 4.9 3.8 3.2
llama-3.1-8B-instruct 65.2 65.2 24.2 15 5 5 0
qwen2.5-coder-7b-instruct 62.5 95.7 23.3 10 5 3.2 3.9
qwen3-1.7b 60.3 90.2 22.1 12 5.1 3.6 3.7
mistralai_mathstral_7b_v0.1 58.3 91.3 21.6 11 5.1 3.3 4
qwen1.5-14b-chat 57.5 89.1 21 12 5.2 3.5 3.8
llama-3.2-3B-instruct 56.5 56.5 20.1 17 5.2 5.2 0
qwen2-math-7b-instruct 55.4 85.9 20.5 6 5.2 3.3 4
qwen2-7b-instruct 55.3 92.4 19.9 11 5.2 3.1 4.2
mistralai_mixtral_8x7b_instruct_v0.1 53.9 92.4 20.7 12 5.2 3.2 4.1
mistralai_ministral_8b_instruct_2410 53.8 95.7 19.7 11 5.2 2.9 4.3
qwen3-0.6b 47.2 84.8 17.2 13 5.2 3.7 3.7
mistralai_mistral_7b_instruct_v0.3 45.8 85.9 16.6 11 5.2 3.2 4.1
mistralai_mistral_7b_instruct_v0.2 42.7 78.3 15.6 10 5.2 3.4 3.9
qwen2.5-coder-3b-instruct 42.2 87 14.2 12 5.1 3.1 4.1
deepseek_v2_lite_chat 41.7 78.3 14.8 11 5.1 3.4 3.8
qwen1.5-7b-chat 36.9 90.2 13.3 12 5 2.9 4.1
google_codegemma_1.1_7b_it 36.2 73.9 12 13 5 3.3 3.8
google_gemma_7b_it 35.7 67.4 12.7 13 5 3.6 3.4
google_gemma_3_1b_it 34.8 78.3 11.9 13 5 3.2 3.8
mistralai_mistral_7b_instruct_v0.1 33.9 83.7 11.8 11 4.9 2.8 4
google_gemma_2b_it 33.3 43.5 10.8 13 4.9 4.6 1.8
qwen2-1.5b-instruct 28.6 72.8 10 13 4.7 2.7 3.9
deepseek_r1_distill_qwen_1.5b 28.3 81.5 10.2 13 4.7 2.3 4.1
qwen2.5-coder-1.5b-instruct 28.3 81.5 9.78 11 4.7 2.4 4.1
llama-3.2-1B-instruct 25 25 9.95 12 4.5 4.5 0
qwen1.5-1.8b-chat 19.4 73.9 7.2 11 4.1 1.9 3.7
qwen2-0.5b-instruct 15.9 76.1 6.2 13 3.8 1.2 3.6
qwen2.5-coder-0.5b-instruct 13.4 80.4 5.35 13 3.5 0.58 3.5
qwen2-math-1.5b-instruct 12.2 29.3 4.41 4 3.4 1.9 2.8
qwen1.5-0.5b-chat 9.95 59.8 4.46 13 3.1 0.79 3