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) |
|---|---|---|---|---|---|---|---|
| qwen2.5-coder-14b-instruct | 38.6 | 54 | 29 | 3 | 1.5 | 1.2 | 1 |
| qwen3-14b | 37 | 47.9 | 27.3 | 3 | 1.5 | 1.3 | 0.84 |
| google_gemma_3_12b_it | 32.2 | 40.3 | 22.9 | 4 | 1.5 | 1.3 | 0.67 |
| qwen3-8b | 30 | 41.5 | 21.3 | 3 | 1.4 | 1.2 | 0.88 |
| qwen3-4b | 28.5 | 42.6 | 19.9 | 4 | 1.4 | 1.2 | 0.85 |
| qwen2.5-coder-7b-instruct | 28.5 | 46.2 | 20.4 | 4 | 1.4 | 1 | 0.99 |
| qwen2-7b-instruct | 21.2 | 35 | 14.1 | 4 | 1.3 | 0.97 | 0.85 |
| google_gemma_3_4b_it | 19.2 | 27.7 | 12.3 | 5 | 1.2 | 1.1 | 0.6 |
| qwen1.5-14b-chat | 18.8 | 28.9 | 12.3 | 3 | 1.2 | 0.94 | 0.8 |
| google_codegemma_1.1_7b_it | 18.6 | 35.6 | 12.2 | 5 | 1.2 | 0.9 | 0.84 |
| mistralai_ministral_8b_instruct_2410 | 17.7 | 34.7 | 11.4 | 4 | 1.2 | 0.81 | 0.9 |
| qwen2.5-coder-3b-instruct | 16.8 | 33.2 | 10.9 | 4 | 1.2 | 0.76 | 0.91 |
| mistralai_mathstral_7b_v0.1 | 16.8 | 32.2 | 10.7 | 4 | 1.2 | 0.81 | 0.86 |
| mistralai_mistral_7b_instruct_v0.3 | 16.5 | 29.3 | 10.6 | 4 | 1.2 | 0.86 | 0.8 |
| qwen3-1.7b | 14.6 | 24.1 | 8.76 | 4 | 1.1 | 0.89 | 0.68 |
| deepseek_r1_distill_qwen_14b | 14 | 29.8 | 9.24 | 4 | 1.1 | 0.69 | 0.85 |
| llama-3.1-8B-instruct | 13.9 | 14 | 8.71 | 7 | 1.1 | 1.1 | 0.085 |
| deepseek_v2_lite_chat | 13.7 | 23.1 | 8.4 | 3 | 1.1 | 0.77 | 0.77 |
| qwen2-math-7b-instruct | 13.4 | 20.3 | 8.58 | 2 | 1.1 | 0.68 | 0.83 |
| deepseek_r1_distill_qwen_7b | 11.8 | 24.8 | 7.34 | 4 | 1 | 0.66 | 0.78 |
| mistralai_mistral_7b_instruct_v0.2 | 11.7 | 22.5 | 7.17 | 4 | 1 | 0.72 | 0.71 |
| google_gemma_2_9b_it | 10.5 | 16.4 | 6.19 | 3 | 0.97 | 0.78 | 0.58 |
| qwen2.5-coder-1.5b-instruct | 8.55 | 21.1 | 5.16 | 4 | 0.88 | 0.47 | 0.75 |
| qwen1.5-7b-chat | 6.77 | 13.3 | 3.9 | 3 | 0.79 | 0.5 | 0.62 |
| llama-3.2-3B-instruct | 6.31 | 6.4 | 3.39 | 10 | 0.77 | 0.77 | 0.075 |
| qwen3-0.6b | 5.92 | 13.5 | 3.14 | 5 | 0.75 | 0.52 | 0.53 |
| mistralai_mistral_7b_instruct_v0.1 | 5.83 | 13.4 | 3.1 | 4 | 0.74 | 0.46 | 0.58 |
| deepseek_r1_distill_llama_8b | 4.83 | 12 | 2.98 | 4 | 0.68 | 0.39 | 0.55 |
| google_gemma_7b_it | 4.6 | 7.2 | 2.22 | 4 | 0.66 | 0.56 | 0.35 |
| google_gemma_3_1b_it | 3.6 | 6.4 | 1.74 | 4 | 0.59 | 0.47 | 0.36 |
| qwen2.5-coder-0.5b-instruct | 2.96 | 8.9 | 1.49 | 5 | 0.54 | 0.28 | 0.45 |
| qwen2-1.5b-instruct | 2.93 | 8.6 | 1.51 | 4 | 0.53 | 0.24 | 0.48 |
| llama-3.2-1B-instruct | 1.49 | 1.5 | 0.786 | 13 | 0.38 | 0.38 | 0.028 |
| deepseek_r1_distill_qwen_1.5b | 1.23 | 3.2 | 0.73 | 4 | 0.35 | 0.2 | 0.29 |
| qwen2-math-1.5b-instruct | 1.13 | 2.7 | 0.606 | 3 | 0.33 | 0.16 | 0.29 |
| qwen2-0.5b-instruct | 1.12 | 3.6 | 0.447 | 5 | 0.33 | 0.17 | 0.28 |
| qwen1.5-1.8b-chat | 0.533 | 1.3 | 0.258 | 3 | 0.23 | 0.099 | 0.21 |
| google_gemma_2b_it | 0.45 | 1.7 | 0.197 | 4 | 0.21 | 0.038 | 0.21 |
| qwen1.5-0.5b-chat | 0.06 | 0.3 | 0.0376 | 5 | 0.077 | 0 | 0.077 |