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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-math-72b-instruct 78.3 92 43.7 11 4.8 3.7 3
qwen2-72b-instruct 77.3 82.7 43.2 11 4.8 4.6 1.6
google_gemma_3_27b_it 74.4 89.3 42.2 12 5 3.9 3.1
qwen3-8b 72 90.7 39.2 12 5.2 4.3 2.9
qwen3-4b 71.9 89.3 39.7 12 5.2 4.1 3.2
qwen3-14b 71.1 81.3 38.7 12 5.2 4.6 2.5
qwen3-32b 67.9 89.3 37.6 11 5.4 4.1 3.5
qwen2.5-coder-32b-instruct 62.4 86.7 33.2 11 5.6 4.3 3.6
qwen1.5-72b-chat 60.1 76 32.3 11 5.7 5.1 2.5
google_gemma_2_27b_it 59.2 85.3 32.3 10 5.7 3.6 4.4
qwen1.5-32b-chat 58.4 70.7 29.9 11 5.7 5.1 2.5
mistralai_mixtral_8x22b_instruct_v0.1 58.1 80 29.8 11 5.7 4.5 3.5
qwen2.5-coder-14b-instruct 56.2 78.7 28.6 12 5.7 4.7 3.3
qwen2.5-coder-7b-instruct 55.2 78.7 28.5 10 5.7 4.3 3.8
google_gemma_3_12b_it 54.3 78.7 28.6 11 5.8 4.4 3.7
qwen1.5-14b-chat 52.7 77.3 26.5 12 5.8 4.6 3.5
qwen2-math-7b-instruct 51.8 66.7 26.8 6 5.8 4.7 3.3
qwen3-1.7b 48.2 77.3 24.2 12 5.8 4.3 3.8
qwen1.5-7b-chat 46.3 72 24.1 12 5.8 4.8 3.2
qwen2-7b-instruct 46.1 72 23.2 11 5.8 4.6 3.5
mistralai_mathstral_7b_v0.1 45.6 81.3 23.3 11 5.8 4.1 4
mistralai_mistral_7b_instruct_v0.3 41 60 19.5 11 5.7 4.9 2.8
qwen3-0.6b 39.8 68 19.9 13 5.7 4.5 3.4
deepseek_v2_lite_chat 39.2 74.7 19.9 11 5.6 3.7 4.3
google_gemma_2_9b_it 38.8 73.3 20 11 5.6 3.8 4.1
mistralai_ministral_8b_instruct_2410 38.3 84 18.9 11 5.6 3.3 4.5
qwen2-math-1.5b-instruct 37.3 60 19.6 4 5.6 4 3.9
llama-3.2-3B-instruct 37.3 37.3 17.5 17 5.6 5.6 0
llama-3.1-8B-instruct 37.3 37.3 17.9 15 5.6 5.6 0
google_gemma_3_4b_it 37 61.3 19.2 13 5.6 4.4 3.4
qwen2.5-coder-3b-instruct 35.3 86.7 17.6 12 5.5 3.2 4.5
mistralai_mixtral_8x7b_instruct_v0.1 29.8 69.3 15.2 12 5.3 3.4 4
qwen2.5-coder-1.5b-instruct 25.6 92 13.8 11 5 1.3 4.9
google_gemma_7b_it 24.4 41.3 11.3 13 5 4.1 2.8
qwen2-1.5b-instruct 24.3 76 12.3 13 5 2.9 4
mistralai_mistral_7b_instruct_v0.2 24 46.7 10.8 10 4.9 3.6 3.4
google_codegemma_1.1_7b_it 23.4 60 11.4 13 4.9 3.3 3.6
mistralai_mistral_7b_instruct_v0.1 20 76 10.2 11 4.6 2.3 4
qwen1.5-0.5b-chat 19.5 82.7 11.4 13 4.6 1.2 4.4
llama-3.2-1B-instruct 18.7 18.7 9.57 12 4.5 4.5 0
qwen1.5-1.8b-chat 18.3 77.3 9.79 11 4.5 1.5 4.2
qwen2.5-coder-0.5b-instruct 18.3 84 11.1 13 4.5 1.1 4.3
deepseek_r1_distill_llama_70b 18.2 53.3 8.64 11 4.5 2.5 3.7
qwen2-0.5b-instruct 18.2 80 10.6 13 4.5 1.2 4.3
google_gemma_3_1b_it 17.9 48 11.2 13 4.4 3.2 3.1
google_gemma_2b_it 17.1 45.3 9.38 13 4.4 3.2 2.9
deepseek_r1_distill_qwen_14b 14.7 53.3 6.69 11 4.1 1.9 3.6
deepseek_r1_distill_qwen_32b 12.8 52 5.98 11 3.9 1.6 3.5
deepseek_r1_distill_llama_8b 11.3 46.7 4.77 13 3.7 1.8 3.2
deepseek_r1_distill_qwen_7b 6.79 38.7 3.09 11 2.9 0.9 2.8
deepseek_r1_distill_qwen_1.5b 4 34.7 1.7 13 2.3 0.49 2.2