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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)
qwen2-72b-instruct 79.3 81.3 46.4 2 4.7 4.4 1.6
google_gemma_3_27b_it 72 82.7 42 3 5.2 4.1 3.2
qwen2-math-72b-instruct 71.3 85.3 41.2 2 5.2 2.9 4.3
qwen3-8b 70.2 81.3 40.1 3 5.3 4.1 3.3
qwen3-4b 70 86.7 39.9 4 5.3 3.8 3.7
qwen3-14b 69.3 77.3 39 3 5.3 4.6 2.7
qwen3-32b 65.8 84 37.1 3 5.5 3.7 4
qwen2.5-coder-32b-instruct 62 72 34.8 2 5.6 4.3 3.7
google_gemma_2_27b_it 58 70.7 31.9 2 5.7 3.9 4.1
google_gemma_3_12b_it 57.3 78.7 31.9 4 5.7 4.1 3.9
qwen2.5-coder-14b-instruct 56.9 73.3 30.7 3 5.7 4.3 3.8
mistralai_mixtral_8x22b_instruct_v0.1 56 74.7 30.6 3 5.7 4 4.1
qwen1.5-72b-chat 55.3 64 30.3 2 5.7 4.6 3.4
qwen1.5-32b-chat 55.1 66.7 29.4 3 5.7 4.8 3.1
qwen1.5-14b-chat 50.7 66.7 27.2 3 5.8 4.3 3.8
qwen2.5-coder-7b-instruct 48 77.3 26.4 4 5.8 3.4 4.7
qwen2-math-7b-instruct 47.3 58.7 25.5 2 5.8 4.3 3.9
qwen2-7b-instruct 46 66.7 24.6 4 5.8 4.3 3.8
qwen3-1.7b 44.3 64 23 4 5.7 4.4 3.7
google_gemma_2_9b_it 44 73.3 24.6 4 5.7 3.4 4.6
qwen1.5-7b-chat 43.1 58.7 23.6 3 5.7 4.2 3.9
mistralai_mathstral_7b_v0.1 39.3 65.3 20.7 4 5.6 3.7 4.3
llama-3.1-8B-instruct 38.7 38.7 20.8 7 5.6 5.6 0
deepseek_v2_lite_chat 37.8 62.7 21.1 3 5.6 3.4 4.4
mistralai_mistral_7b_instruct_v0.3 37.7 54.7 18.9 4 5.6 4.4 3.4
qwen3-0.6b 37.3 65.3 20.3 5 5.6 3.6 4.2
mistralai_ministral_8b_instruct_2410 36.7 78.7 19.8 4 5.6 2.5 5
google_gemma_3_4b_it 36 53.3 19.6 5 5.5 4.2 3.6
llama-3.2-3B-instruct 32 32 16 10 5.4 5.4 0
qwen2.5-coder-3b-instruct 31.7 62.7 16.5 4 5.4 2.9 4.5
qwen2-math-1.5b-instruct 29.8 49.3 16.2 3 5.3 3.3 4.1
mistralai_mixtral_8x7b_instruct_v0.1 27.6 50.7 15.3 3 5.2 3 4.2
google_codegemma_1.1_7b_it 26.1 61.3 14.2 5 5.1 2.8 4.2
qwen2.5-coder-1.5b-instruct 25 68 14.3 4 5 0 5
google_gemma_7b_it 23.7 37.3 11.9 4 4.9 3.8 3.1
mistralai_mistral_7b_instruct_v0.2 23.3 41.3 11.5 4 4.9 3.2 3.7
qwen2-1.5b-instruct 21.7 52 11.7 4 4.8 2 4.3
mistralai_mistral_7b_instruct_v0.1 20 52 10.5 4 4.6 1.9 4.2
llama-3.2-1B-instruct 18.7 18.7 10.1 13 4.5 4.5 0
google_gemma_2b_it 17.7 33.3 10.7 4 4.4 2.9 3.3
qwen1.5-0.5b-chat 17.3 57.3 11.1 5 4.4 1.2 4.2
deepseek_r1_distill_llama_70b 16.7 24 8.03 2 4.3 3 3.1
qwen2.5-coder-0.5b-instruct 16.3 57.3 10.6 5 4.3 0.17 4.3
qwen2-0.5b-instruct 16 57.3 9.53 5 4.2 0.57 4.2
google_gemma_3_1b_it 16 33.3 10.2 4 4.2 2.7 3.3
qwen1.5-1.8b-chat 13.8 34.7 7.67 3 4 1 3.8
deepseek_r1_distill_qwen_32b 12.7 22.7 6.6 2 3.8 1.2 3.7
deepseek_r1_distill_qwen_14b 8.67 28 4.49 4 3.2 0.69 3.2
deepseek_r1_distill_qwen_7b 7.33 21.3 3.17 4 3 1.4 2.7
deepseek_r1_distill_llama_8b 7 21.3 3.19 4 2.9 0.91 2.8
deepseek_r1_distill_qwen_1.5b 4.67 14.7 2.2 4 2.4 0.77 2.3