The typical standard errors between pairs of models on this dataset as a function of the absolute accuracy.
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.
| model | pass1 | pass@count | win_rate | count | SE(A) | SE_x(A) | SE_pred(A) |
|---|---|---|---|---|---|---|---|
| google_gemma_3_27b_it | 86.5 | 90.1 | 50.3 | 2 | 0.48 | 0.4 | 0.27 |
| qwen3-14b | 82.4 | 87.7 | 47 | 2 | 0.54 | 0.43 | 0.33 |
| google_gemma_3_12b_it | 80.2 | 87.7 | 45.2 | 3 | 0.56 | 0.46 | 0.33 |
| qwen3-4b | 78.1 | 86.8 | 43.6 | 3 | 0.58 | 0.47 | 0.35 |
| qwen3-8b | 77.8 | 84.9 | 43.4 | 2 | 0.59 | 0.45 | 0.38 |
| qwen3-32b | 75.2 | 86.1 | 42.2 | 2 | 0.61 | 0.39 | 0.47 |
| google_gemma_3_4b_it | 71.5 | 82.6 | 38.7 | 4 | 0.64 | 0.53 | 0.36 |
| deepseek_r1_distill_llama_70b | 70.9 | 70.9 | 40.7 | 1 | 0.64 | NaN | NaN |
| deepseek_r1_distill_qwen_7b | 68.4 | 88.7 | 39.1 | 3 | 0.66 | 0.35 | 0.56 |
| deepseek_r1_distill_llama_8b | 65.6 | 87 | 37 | 3 | 0.67 | 0.37 | 0.56 |
| qwen3-1.7b | 63 | 76.9 | 32.8 | 3 | 0.68 | 0.52 | 0.44 |
| deepseek_r1_distill_qwen_14b | 59.9 | 83.7 | 34.1 | 3 | 0.69 | 0.38 | 0.58 |
| deepseek_r1_distill_qwen_1.5b | 59 | 82.5 | 32 | 3 | 0.7 | 0.38 | 0.58 |
| llama-3.1-70B-instruct | 58.5 | 58.8 | 29.8 | 3 | 0.7 | 0.69 | 0.077 |
| deepseek_r1_distill_qwen_32b | 57.8 | 57.8 | 32.6 | 1 | 0.7 | NaN | NaN |
| qwen2.5-coder-32b-instruct | 54.4 | 54.4 | 27.8 | 1 | 0.7 | NaN | NaN |
| qwen2-72b-instruct | 54.1 | 54.1 | 26.7 | 1 | 0.7 | NaN | NaN |
| google_gemma_2_9b_it | 44 | 56.8 | 20 | 3 | 0.7 | 0.57 | 0.41 |
| qwen1.5-72b-chat | 41.9 | 41.9 | 19.2 | 1 | 0.7 | NaN | NaN |
| qwen2.5-coder-14b-instruct | 41.4 | 55.7 | 19.4 | 2 | 0.7 | 0.45 | 0.53 |
| qwen1.5-32b-chat | 39.6 | 50.8 | 17.8 | 2 | 0.69 | 0.5 | 0.47 |
| qwen2.5-coder-7b-instruct | 35.3 | 57.6 | 16 | 3 | 0.68 | 0.41 | 0.54 |
| mistralai_mixtral_8x22b_instruct_v0.1 | 33.1 | 45.1 | 14.4 | 2 | 0.67 | 0.45 | 0.49 |
| qwen2-7b-instruct | 32.8 | 53.3 | 14.8 | 3 | 0.66 | 0.42 | 0.51 |
| mistralai_mathstral_7b_v0.1 | 32.7 | 52.4 | 14.2 | 3 | 0.66 | 0.44 | 0.5 |
| qwen3-0.6b | 32.4 | 53.3 | 14 | 4 | 0.66 | 0.47 | 0.46 |
| google_gemma_3_1b_it | 32.1 | 45.5 | 13.9 | 3 | 0.66 | 0.51 | 0.42 |
| llama-3.2-3B-instruct | 30.9 | 31.1 | 13.2 | 10 | 0.65 | 0.65 | 0.055 |
| qwen2.5-coder-3b-instruct | 29.9 | 50.8 | 13.1 | 3 | 0.65 | 0.39 | 0.52 |
| llama-3.1-8B-instruct | 28.7 | 28.9 | 12.2 | 7 | 0.64 | 0.64 | 0.057 |
| qwen1.5-14b-chat | 28.5 | 39 | 11.9 | 2 | 0.64 | 0.45 | 0.46 |
| mistralai_ministral_8b_instruct_2410 | 28.5 | 47.7 | 12 | 3 | 0.64 | 0.41 | 0.49 |
| mistralai_mixtral_8x7b_instruct_v0.1 | 22.7 | 32.7 | 9.09 | 2 | 0.59 | 0.39 | 0.45 |
| deepseek_v2_lite_chat | 22 | 32.1 | 8.79 | 2 | 0.59 | 0.38 | 0.45 |
| qwen2.5-coder-1.5b-instruct | 19.9 | 37.6 | 8.05 | 3 | 0.56 | 0.32 | 0.47 |
| google_codegemma_1.1_7b_it | 18.1 | 36.3 | 7.03 | 4 | 0.55 | 0.36 | 0.41 |
| qwen1.5-7b-chat | 17.6 | 33 | 6.8 | 3 | 0.54 | 0.32 | 0.43 |
| llama-3.2-1B-instruct | 12.4 | 12.5 | 4.6 | 12 | 0.47 | 0.46 | 0.042 |
| google_gemma_7b_it | 11.3 | 19.6 | 4.25 | 3 | 0.45 | 0.32 | 0.32 |
| mistralai_mistral_7b_instruct_v0.3 | 11.1 | 22.3 | 4.05 | 3 | 0.44 | 0.26 | 0.36 |
| mistralai_mistral_7b_instruct_v0.2 | 9.4 | 18.1 | 3.36 | 3 | 0.41 | 0.26 | 0.32 |
| qwen2-1.5b-instruct | 8.98 | 20 | 3.4 | 3 | 0.4 | 0.19 | 0.35 |
| google_gemma_2b_it | 6.05 | 12 | 2.29 | 3 | 0.34 | 0.21 | 0.26 |
| qwen2.5-coder-0.5b-instruct | 5.22 | 15.1 | 1.95 | 4 | 0.31 | 0.14 | 0.28 |
| mistralai_mistral_7b_instruct_v0.1 | 4.87 | 11.3 | 1.73 | 3 | 0.3 | 0.15 | 0.27 |
| qwen2-0.5b-instruct | 3.92 | 11.9 | 1.39 | 4 | 0.27 | 0.11 | 0.25 |
| qwen1.5-1.8b-chat | 3.29 | 8.08 | 1.15 | 3 | 0.25 | 0.11 | 0.23 |
| qwen1.5-0.5b-chat | 0.435 | 1.58 | 0.145 | 4 | 0.093 | 0.024 | 0.09 |