human_eval: 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)
google_gemma_3_27b_it 87 89.6 47.1 3 2.6 2.4 1
qwen3-14b 85.4 90.2 46.3 3 2.8 2.3 1.5
google_gemma_3_12b_it 82.9 86 44.1 4 2.9 2.7 1.1
qwen3-32b 80.3 93.3 43 3 3.1 1.9 2.5
qwen2.5-coder-32b-instruct 79.3 89.6 43.2 2 3.2 1.9 2.5
qwen3-4b 78.8 87.8 41.6 4 3.2 2.6 1.8
qwen3-8b 78.7 90.2 42.5 3 3.2 2.3 2.2
qwen2.5-coder-14b-instruct 74 90.9 39.6 3 3.4 2 2.8
google_gemma_2_27b_it 73.2 78.7 37.6 2 3.5 2.9 1.8
mistralai_mixtral_8x22b_instruct_v0.1 71.1 84.1 36.1 3 3.5 2.5 2.5
google_gemma_3_4b_it 69.8 75.6 34.8 5 3.6 3.3 1.5
google_gemma_2_9b_it 63.3 71.3 30.9 4 3.8 3.4 1.7
llama-3.1-8B-instruct 59.8 59.8 28 7 3.8 3.8 0
qwen3-1.7b 58.8 76.2 28.9 4 3.8 3 2.4
qwen2-math-72b-instruct 57.9 72.6 28.8 2 3.9 2.4 3
google_codegemma_1.1_7b_it 54.9 75.6 25.5 5 3.9 3 2.5
qwen1.5-14b-chat 51.8 70.7 23.6 3 3.9 2.8 2.7
deepseek_r1_distill_qwen_32b 51.5 73.8 27.2 2 3.9 1.3 3.7
deepseek_r1_distill_qwen_14b 47.3 82.9 24.3 4 3.9 1.7 3.5
qwen2-72b-instruct 47 65.9 23.8 2 3.9 1.9 3.4
qwen1.5-32b-chat 46.7 64.6 21.7 3 3.9 2.8 2.7
deepseek_r1_distill_llama_70b 45.1 65.9 24.2 2 3.9 1.6 3.6
llama-3.2-3B-instruct 42.1 42.1 18.2 10 3.9 3.9 0
qwen1.5-72b-chat 41.8 52.4 18.3 2 3.9 2.9 2.6
google_gemma_3_1b_it 40.1 48.8 17.6 4 3.8 3.4 1.8
qwen2-7b-instruct 39.6 73.2 18.6 4 3.8 1.9 3.3
deepseek_v2_lite_chat 39.2 65.9 17.9 3 3.8 2 3.2
qwen2.5-coder-3b-instruct 38.6 69.5 18 4 3.8 2.1 3.2
qwen2.5-coder-7b-instruct 38.6 74.4 17.9 4 3.8 1.9 3.3
mistralai_mistral_7b_instruct_v0.3 37.7 53.7 15.3 4 3.8 3 2.3
qwen1.5-7b-chat 36.4 54.9 15.2 3 3.8 2.7 2.7
mistralai_ministral_8b_instruct_2410 35.7 67.7 15.9 4 3.7 1.9 3.2
mistralai_mixtral_8x7b_instruct_v0.1 35 53.7 15.6 3 3.7 2.6 2.7
mistralai_mathstral_7b_v0.1 30.6 59.1 13.1 4 3.6 2.1 3
qwen2.5-coder-1.5b-instruct 28.8 54.9 12 4 3.5 2.1 2.8
deepseek_r1_distill_llama_8b 27.4 59.8 13 4 3.5 1.6 3.1
qwen2-math-7b-instruct 25 39.6 11.2 2 3.4 1.6 3
google_gemma_7b_it 24.4 37.2 9.48 4 3.4 2.7 2
qwen2.5-coder-0.5b-instruct 22.9 50 9.36 5 3.3 1.9 2.7
deepseek_r1_distill_qwen_7b 22 51.2 9.93 4 3.2 1.4 2.9
llama-3.2-1B-instruct 22 22 8.34 13 3.2 3.2 0
mistralai_mistral_7b_instruct_v0.1 20.1 43.3 7.54 4 3.1 1.7 2.6
qwen3-0.6b 18.8 42.7 6.99 5 3 1.9 2.4
google_gemma_2b_it 17.7 28.7 5.79 4 3 2.4 1.7
mistralai_mistral_7b_instruct_v0.2 11.7 29.9 4.32 4 2.5 1.2 2.2
qwen2-1.5b-instruct 8.38 28 3.32 4 2.2 0.44 2.1
qwen1.5-1.8b-chat 4.47 9.15 1.61 3 1.6 0.93 1.3
qwen2-0.5b-instruct 3.78 9.76 0.958 5 1.5 0.81 1.2
qwen2-math-1.5b-instruct 2.24 6.1 0.891 3 1.2 0.31 1.1
qwen1.5-0.5b-chat 1.83 4.88 0.367 5 1 0.62 0.84
deepseek_r1_distill_qwen_1.5b 1.37 5.49 0.484 4 0.91 0 0.91