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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)
qwen3-14b 77.2 84.1 44.4 3 3.3 2.8 1.7
google_gemma_3_27b_it 75 78.7 41.8 3 3.4 3.2 1.2
qwen2.5-coder-32b-instruct 74.1 82.9 42.6 2 3.4 2.5 2.3
qwen3-32b 73.4 83.5 41.7 3 3.5 2.6 2.3
google_gemma_3_12b_it 72.9 76.8 40.2 4 3.5 3.3 1.2
qwen3-4b 69.4 78.7 38.1 4 3.6 3.1 1.8
qwen3-8b 68.9 81.7 38.7 3 3.6 2.8 2.3
qwen2.5-coder-14b-instruct 68.1 85.4 38.7 3 3.6 2.3 2.9
google_gemma_2_27b_it 66.8 72 35.9 2 3.7 3.2 1.8
google_gemma_3_4b_it 60.9 67.1 32.1 5 3.8 3.5 1.5
mistralai_mixtral_8x22b_instruct_v0.1 60 76.2 31.4 3 3.8 2.7 2.7
google_gemma_2_9b_it 56.1 65.2 29 4 3.9 3.5 1.7
llama-3.1-8B-instruct 50.6 50.6 24.8 7 3.9 3.9 0
qwen3-1.7b 50.5 67.1 25.6 4 3.9 3.2 2.2
deepseek_r1_distill_qwen_32b 47 67.7 25.4 2 3.9 1.6 3.6
qwen2-math-72b-instruct 45.7 61.6 24.4 2 3.9 2.3 3.1
google_codegemma_1.1_7b_it 44.9 64 21.4 5 3.9 3.1 2.4
qwen2-72b-instruct 43.3 62.8 23.2 2 3.9 1.8 3.4
deepseek_r1_distill_qwen_14b 43.1 76.2 23.8 4 3.9 1.8 3.4
deepseek_r1_distill_llama_70b 43 61 24.1 2 3.9 2 3.3
qwen1.5-14b-chat 42.3 59.8 19.9 3 3.9 2.9 2.5
qwen1.5-32b-chat 41.5 57.9 20.7 3 3.8 2.8 2.6
deepseek_v2_lite_chat 36.2 54.3 17 3 3.8 2.6 2.7
qwen2-7b-instruct 35.5 67.1 17.9 4 3.7 1.9 3.2
google_gemma_3_1b_it 35.5 39 16.4 4 3.7 3.5 1.3
qwen2.5-coder-7b-instruct 35.4 66.5 17.5 4 3.7 2.1 3.1
qwen1.5-72b-chat 34.1 46.3 16.1 2 3.7 2.5 2.7
qwen2.5-coder-3b-instruct 33.7 67.1 17.4 4 3.7 1.8 3.2
llama-3.2-3B-instruct 33.5 33.5 15.1 10 3.7 3.7 0
mistralai_ministral_8b_instruct_2410 32 63.4 15.7 4 3.6 1.9 3.1
mistralai_mixtral_8x7b_instruct_v0.1 30.3 45.1 14.2 3 3.6 2.7 2.4
mistralai_mistral_7b_instruct_v0.3 30.2 52.4 13.2 4 3.6 2.6 2.5
qwen1.5-7b-chat 29.7 45.7 13.3 3 3.6 2.5 2.5
deepseek_r1_distill_llama_8b 24.4 55.5 12.2 4 3.4 1.6 2.9
mistralai_mathstral_7b_v0.1 23.8 49.4 10.4 4 3.3 1.8 2.8
qwen2-math-7b-instruct 23.5 34.1 10.9 2 3.3 2.1 2.6
qwen2.5-coder-1.5b-instruct 22.4 50.6 10.3 4 3.3 1.6 2.8
deepseek_r1_distill_qwen_7b 20.7 48.8 10.2 4 3.2 1.5 2.8
google_gemma_7b_it 20.4 32.3 8.83 4 3.1 2.5 1.9
llama-3.2-1B-instruct 20.1 20.1 8.17 13 3.1 3.1 0
qwen2.5-coder-0.5b-instruct 18.4 45.7 8.18 5 3 1.4 2.7
qwen3-0.6b 17.1 39.6 7.15 5 2.9 1.9 2.3
mistralai_mistral_7b_instruct_v0.1 13.6 29.9 5.29 4 2.7 1.5 2.2
google_gemma_2b_it 13.3 20.7 4.63 4 2.6 2.2 1.5
mistralai_mistral_7b_instruct_v0.2 7.93 20.1 2.95 4 2.1 1.1 1.8
qwen2-1.5b-instruct 5.79 18.9 2.42 4 1.8 0.54 1.7
qwen1.5-1.8b-chat 3.66 7.93 1.27 3 1.5 0.73 1.3
qwen2-0.5b-instruct 2.68 8.54 0.851 5 1.3 0.57 1.1
qwen2-math-1.5b-instruct 1.63 3.05 0.621 3 0.99 0.69 0.7
qwen1.5-0.5b-chat 1.22 3.66 0.356 5 0.86 0.42 0.75
deepseek_r1_distill_qwen_1.5b 0.457 1.83 0.162 4 0.53 0 0.53