mmlu_pro_cot: by models

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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 70 85.5 36.4 9 0.42 0.35 0.23
qwen3-14b 67.3 81.6 34.4 10 0.43 0.37 0.21
llama-3.1-70B-instruct 63.9 63.9 32.3 12 0.44 0.44 0
qwen3-8b 62.6 78.2 31 10 0.44 0.38 0.22
qwen2-72b-instruct 62.2 78.1 31 4 0.44 0.35 0.27
qwen2.5-coder-32b-instruct 60.5 80 29.5 8 0.45 0.36 0.26
google_gemma_3_12b_it 58.7 77.6 28.2 11 0.45 0.38 0.23
deepseek_r1_distill_llama_70b 57.7 75.8 27.6 9 0.45 0.37 0.25
qwen3-4b 57.6 74.4 27.8 11 0.45 0.39 0.23
mistralai_mixtral_8x22b_instruct_v0.1 51.8 82.2 24 9 0.46 0.34 0.31
deepseek_r1_distill_qwen_32b 51.5 73.5 23.6 8 0.46 0.36 0.28
qwen2-math-72b-instruct 51.1 79.8 23.8 8 0.46 0.34 0.31
deepseek_r1_distill_qwen_14b 48.1 75.5 21.5 12 0.46 0.35 0.29
qwen1.5-72b-chat 47.5 47.5 21.7 1 0.46 NaN NaN
qwen2.5-coder-14b-instruct 47.4 81.9 21.3 10 0.46 0.33 0.32
qwen1.5-32b-chat 46.1 75 20.6 8 0.45 0.34 0.31
llama-3.1-8B-instruct 45 45 19.9 15 0.45 0.45 0
qwen2-7b-instruct 44.2 78.1 19.5 12 0.45 0.34 0.3
qwen3-1.7b 42.9 68 19.2 12 0.45 0.37 0.26
mistralai_mixtral_8x7b_instruct_v0.1 42.3 75.9 18.8 10 0.45 0.33 0.31
google_gemma_3_4b_it 41.5 66.2 17.9 13 0.45 0.38 0.25
mistralai_ministral_8b_instruct_2410 39.2 78.4 16.7 11 0.45 0.31 0.32
qwen1.5-14b-chat 37.9 69.6 16 10 0.44 0.33 0.29
qwen2.5-coder-7b-instruct 37.7 78.4 16 12 0.44 0.3 0.32
mistralai_mathstral_7b_v0.1 36.7 79.2 15.7 12 0.44 0.29 0.33
deepseek_r1_distill_llama_8b 36.1 68.5 14.7 12 0.44 0.32 0.3
deepseek_r1_distill_qwen_7b 36.1 68.1 15.1 12 0.44 0.33 0.29
llama-3.2-3B-instruct 35 35 15 19 0.43 0.43 0
mistralai_mistral_7b_instruct_v0.3 33.7 71.8 14.3 12 0.43 0.31 0.3
qwen2-math-7b-instruct 33.1 72.4 14.6 12 0.43 0.3 0.31
qwen2.5-coder-3b-instruct 29.4 74.6 12.1 12 0.42 0.27 0.31
mistralai_mistral_7b_instruct_v0.2 29.1 65.4 11.9 12 0.41 0.3 0.28
deepseek_v2_lite_chat 29 67.5 11.9 10 0.41 0.28 0.3
qwen1.5-7b-chat 25.1 62.5 10.1 10 0.4 0.26 0.3
qwen2-math-1.5b-instruct 25.1 69.3 11.5 12 0.4 0.25 0.31
qwen3-0.6b 23.8 54 10.7 13 0.39 0.29 0.26
mistralai_mistral_7b_instruct_v0.1 23.8 67.2 9.96 12 0.39 0.25 0.3
llama-3.2-1B-instruct 21.5 21.5 9.44 21 0.37 0.37 0
deepseek_r1_distill_qwen_1.5b 20.5 59.4 8.21 12 0.37 0.22 0.29
qwen2.5-coder-1.5b-instruct 20.3 64.8 8.48 12 0.37 0.22 0.29
qwen2-1.5b-instruct 17.2 63 7.59 12 0.34 0.18 0.29
qwen1.5-1.8b-chat 12.4 45.6 5.71 10 0.3 0.16 0.25
qwen2-0.5b-instruct 11.7 55.2 6.16 13 0.29 0.13 0.26
qwen2.5-coder-0.5b-instruct 10.4 53.1 5.79 13 0.28 0.1 0.26
qwen1.5-0.5b-chat 10.3 57 5.83 13 0.28 0.098 0.26