The typical standard errors between pairs of models on this dataset as a function of the absolute accuracy.
| model | pass1 | pass@count | win_rate | count | SE(A) | SE_x(A) | SE_pred(A) |
|---|---|---|---|---|---|---|---|
| google_gemma_3_27b_it | 94.4 | 95.9 | 32.6 | 3 | 0.63 | 0.56 | 0.29 |
| qwen3-14b | 93.5 | 95.6 | 32.2 | 3 | 0.68 | 0.59 | 0.34 |
| qwen3-32b | 93.4 | 95.8 | 32.2 | 2 | 0.69 | 0.53 | 0.43 |
| llama-3.1-70B-instruct | 92.9 | 92.9 | 31.9 | 4 | 0.71 | 0.71 | 0 |
| google_gemma_3_12b_it | 92.3 | 95.6 | 31.4 | 4 | 0.73 | 0.61 | 0.4 |
| qwen3-8b | 92 | 94.8 | 31 | 3 | 0.75 | 0.63 | 0.4 |
| qwen2.5-coder-32b-instruct | 91.3 | 95.1 | 30.8 | 2 | 0.78 | 0.56 | 0.54 |
| deepseek_r1_distill_llama_70b | 90.6 | 94.8 | 30.9 | 2 | 0.8 | 0.57 | 0.56 |
| google_gemma_2_27b_it | 89.8 | 92.8 | 29.6 | 2 | 0.83 | 0.68 | 0.48 |
| qwen2-72b-instruct | 89.5 | 94.8 | 30.1 | 2 | 0.84 | 0.56 | 0.63 |
| qwen3-4b | 89.5 | 92.9 | 29.6 | 4 | 0.85 | 0.76 | 0.38 |
| google_gemma_2_9b_it | 86.8 | 92.8 | 28 | 3 | 0.93 | 0.74 | 0.57 |
| qwen2-math-72b-instruct | 84.4 | 93.9 | 27.7 | 2 | 1 | 0.52 | 0.85 |
| google_gemma_3_4b_it | 83.3 | 91.1 | 26.3 | 5 | 1 | 0.86 | 0.57 |
| qwen1.5-72b-chat | 82.7 | 90.1 | 26.4 | 2 | 1 | 0.72 | 0.75 |
| deepseek_r1_distill_qwen_7b | 81.9 | 94.5 | 26.3 | 4 | 1.1 | 0.67 | 0.82 |
| qwen1.5-32b-chat | 81.7 | 90.1 | 26 | 2 | 1.1 | 0.7 | 0.8 |
| deepseek_r1_distill_qwen_14b | 81.3 | 93.3 | 26.4 | 4 | 1.1 | 0.72 | 0.8 |
| qwen2.5-coder-14b-instruct | 81 | 95.6 | 26.1 | 3 | 1.1 | 0.58 | 0.91 |
| deepseek_r1_distill_qwen_32b | 80.3 | 91.3 | 26.8 | 2 | 1.1 | 0.61 | 0.91 |
| qwen2-math-7b-instruct | 79.8 | 93.3 | 24.8 | 4 | 1.1 | 0.74 | 0.82 |
| llama-3.1-8B-instruct | 78.3 | 78.3 | 23.8 | 7 | 1.1 | 1.1 | 0 |
| mistralai_mixtral_8x22b_instruct_v0.1 | 78.3 | 89.3 | 24.4 | 2 | 1.1 | 0.67 | 0.91 |
| qwen2-math-1.5b-instruct | 75.2 | 90.6 | 22.7 | 4 | 1.2 | 0.81 | 0.87 |
| mistralai_ministral_8b_instruct_2410 | 73.9 | 92.3 | 22.3 | 4 | 1.2 | 0.74 | 0.96 |
| qwen3-1.7b | 73.4 | 84.8 | 21.6 | 4 | 1.2 | 0.99 | 0.71 |
| deepseek_r1_distill_llama_8b | 73 | 92.9 | 22.5 | 4 | 1.2 | 0.71 | 1 |
| qwen2-7b-instruct | 71.7 | 91.9 | 21.6 | 4 | 1.2 | 0.73 | 1 |
| qwen1.5-14b-chat | 70.4 | 85.5 | 20.3 | 3 | 1.3 | 0.87 | 0.9 |
| llama-3.2-3B-instruct | 67.6 | 67.6 | 19.4 | 10 | 1.3 | 1.3 | 0 |
| qwen2.5-coder-7b-instruct | 65.4 | 89.5 | 19.2 | 4 | 1.3 | 0.74 | 1.1 |
| mistralai_mathstral_7b_v0.1 | 63.4 | 89.8 | 18.2 | 4 | 1.3 | 0.73 | 1.1 |
| deepseek_v2_lite_chat | 62.1 | 75.2 | 17.1 | 2 | 1.3 | 0.89 | 1 |
| mistralai_mixtral_8x7b_instruct_v0.1 | 60.8 | 81.9 | 17.1 | 3 | 1.3 | 0.84 | 1 |
| deepseek_r1_distill_qwen_1.5b | 59.8 | 86.6 | 17.3 | 4 | 1.4 | 0.72 | 1.1 |
| qwen1.5-7b-chat | 55.2 | 75.4 | 14.5 | 3 | 1.4 | 0.91 | 1 |
| qwen2.5-coder-3b-instruct | 54.9 | 82.1 | 14.6 | 4 | 1.4 | 0.81 | 1.1 |
| google_codegemma_1.1_7b_it | 50.3 | 79 | 13 | 5 | 1.4 | 0.89 | 1.1 |
| google_gemma_3_1b_it | 44.6 | 62.9 | 10.9 | 4 | 1.4 | 1.1 | 0.86 |
| mistralai_mistral_7b_instruct_v0.3 | 43.4 | 72.2 | 11 | 4 | 1.4 | 0.82 | 1.1 |
| qwen3-0.6b | 38.2 | 64.8 | 8.87 | 5 | 1.3 | 0.92 | 0.98 |
| qwen2.5-coder-1.5b-instruct | 37.4 | 64.8 | 8.72 | 4 | 1.3 | 0.82 | 1 |
| mistralai_mistral_7b_instruct_v0.2 | 36.8 | 62.4 | 8.82 | 4 | 1.3 | 0.86 | 1 |
| llama-3.2-1B-instruct | 29 | 29 | 6.29 | 13 | 1.2 | 1.2 | 0 |
| google_gemma_7b_it | 27.5 | 47.5 | 6.17 | 4 | 1.2 | 0.85 | 0.89 |
| mistralai_mistral_7b_instruct_v0.1 | 22.5 | 47.8 | 4.79 | 4 | 1.1 | 0.63 | 0.96 |
| qwen2-1.5b-instruct | 20.5 | 47.8 | 4.43 | 4 | 1.1 | 0.53 | 0.98 |
| qwen1.5-1.8b-chat | 11.1 | 24.5 | 2.12 | 3 | 0.86 | 0.41 | 0.76 |
| qwen2.5-coder-0.5b-instruct | 9.83 | 29.8 | 1.87 | 5 | 0.82 | 0.38 | 0.73 |
| google_gemma_2b_it | 9.17 | 21.1 | 1.77 | 4 | 0.79 | 0.49 | 0.62 |
| qwen2-0.5b-instruct | 8.49 | 27.1 | 1.58 | 5 | 0.77 | 0.33 | 0.69 |
| qwen1.5-0.5b-chat | 3.12 | 12.7 | 0.622 | 5 | 0.48 | 0.14 | 0.46 |