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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 92.5 97.7 31.9 11 0.99 0.81 0.56
qwen3-14b 90.3 95.6 30.3 11 1.1 0.96 0.56
qwen2-72b-instruct 89 95.6 29.6 9 1.2 0.96 0.68
llama-3.1-70B-instruct 88.7 88.7 30 11 1.2 1.2 0
google_gemma_3_27b_it 88.6 94.1 29.4 10 1.2 1 0.62
deepseek_r1_distill_llama_70b 88.6 95.9 29.8 9 1.2 0.95 0.72
deepseek_r1_distill_qwen_32b 87.2 96.5 28.9 9 1.3 0.96 0.8
qwen3-8b 86.8 95.8 28.3 11 1.3 1 0.72
qwen2.5-coder-32b-instruct 86.4 95.5 27.9 9 1.3 1 0.77
deepseek_r1_distill_qwen_14b 85.3 95.5 27.6 12 1.3 1 0.83
google_gemma_3_12b_it 85.2 93.1 27.2 11 1.3 1.1 0.7
qwen3-4b 83.3 92.3 26.7 11 1.4 1.2 0.72
google_gemma_2_27b_it 83.1 93 26.1 10 1.4 1.2 0.76
qwen1.5-72b-chat 81.5 93.8 25.4 9 1.5 1.1 0.91
google_gemma_2_9b_it 80.9 92.4 25 12 1.5 1.2 0.81
qwen2-math-72b-instruct 80.5 94.8 25.3 9 1.5 1.1 0.99
qwen2.5-coder-14b-instruct 80.5 94.1 24.8 11 1.5 1.2 0.94
qwen1.5-32b-chat 79.1 94.1 24.3 11 1.5 1.2 0.97
mistralai_mixtral_8x22b_instruct_v0.1 76.8 94.4 24.9 11 1.6 1.1 1.2
llama-3.1-8B-instruct 73.4 73.4 21.8 15 1.7 1.7 0
qwen2-7b-instruct 72.6 93.7 21.4 12 1.7 1.2 1.1
qwen1.5-14b-chat 71.8 89 20.7 11 1.7 1.4 0.98
mistralai_mixtral_8x7b_instruct_v0.1 71 92.4 20.9 11 1.7 1.3 1.1
qwen2.5-coder-7b-instruct 70.9 94.7 20.7 12 1.7 1.2 1.2
qwen3-1.7b 70.8 87.6 20.9 11 1.7 1.4 0.99
mistralai_ministral_8b_instruct_2410 69.2 95.8 20.1 12 1.7 1.2 1.3
google_gemma_3_4b_it 68.5 86.5 19.7 13 1.7 1.5 0.96
deepseek_r1_distill_llama_8b 63.2 92.5 18.2 12 1.8 1.2 1.4
qwen2-math-7b-instruct 61.9 92.7 18.6 11 1.8 1.2 1.3
qwen1.5-7b-chat 61.5 90 17.1 12 1.8 1.4 1.2
llama-3.2-3B-instruct 60.3 60.3 16.4 18 1.8 1.8 0
mistralai_mistral_7b_instruct_v0.3 59.7 86.9 16.5 12 1.8 1.4 1.2
mistralai_mathstral_7b_v0.1 57.6 92.3 15.9 12 1.9 1.2 1.4
deepseek_v2_lite_chat 57.2 90.3 15.8 11 1.9 1.3 1.3
qwen2.5-coder-3b-instruct 55.3 93 15.2 11 1.9 1.2 1.4
deepseek_r1_distill_qwen_7b 54.4 88.6 15.5 12 1.9 1.2 1.4
google_codegemma_1.1_7b_it 52.9 83.4 14.2 13 1.9 1.4 1.2
mistralai_mistral_7b_instruct_v0.2 52.3 80.7 14.2 12 1.9 1.4 1.3
mistralai_mistral_7b_instruct_v0.1 49 88.9 13.1 12 1.9 1.2 1.4
google_gemma_7b_it 48.1 77.4 13.1 12 1.9 1.4 1.2
qwen3-0.6b 47.2 82.3 12.9 12 1.9 1.4 1.3
qwen2-1.5b-instruct 39.2 84.1 10.4 11 1.8 1.2 1.4
google_gemma_3_1b_it 35.4 71.3 9.39 12 1.8 1.3 1.2
qwen2-math-1.5b-instruct 34.3 85.7 10.7 11 1.8 0.95 1.5
qwen2.5-coder-1.5b-instruct 33.9 88.6 9.75 11 1.8 0.81 1.6
google_gemma_2b_it 32.6 50.9 9.28 12 1.8 1.5 0.88
llama-3.2-1B-instruct 31.9 31.9 8.67 21 1.7 1.7 0
qwen1.5-1.8b-chat 30.5 79.5 8.29 12 1.7 0.98 1.4
deepseek_r1_distill_qwen_1.5b 26.5 77.6 7.34 12 1.7 0.81 1.4
qwen2-0.5b-instruct 22.3 78.1 7.08 13 1.6 0.79 1.3
qwen2.5-coder-0.5b-instruct 19.7 85.9 6.82 12 1.5 0.39 1.4
qwen1.5-0.5b-chat 19.7 73.4 6.23 12 1.5 0.68 1.3