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) |
|---|---|---|---|---|---|---|---|
| qwen3-14b | 82.1 | 87.5 | 41.4 | 3 | 0.48 | 0.41 | 0.24 |
| google_gemma_3_12b_it | 81.5 | 89.2 | 41.3 | 3 | 0.48 | 0.39 | 0.29 |
| llama-3.1-70B-instruct | 81.2 | 81.2 | 41.4 | 4 | 0.48 | 0.48 | 0 |
| qwen3-4b | 75 | 82.8 | 36.8 | 4 | 0.54 | 0.47 | 0.26 |
| qwen2.5-coder-32b-instruct | 74.8 | 83.7 | 36.7 | 2 | 0.54 | 0.39 | 0.37 |
| qwen3-32b | 73.3 | 81.9 | 36.2 | 2 | 0.55 | 0.41 | 0.36 |
| qwen3-8b | 72.6 | 80.8 | 35.2 | 3 | 0.55 | 0.47 | 0.29 |
| mistralai_mixtral_8x22b_instruct_v0.1 | 72.3 | 82.2 | 35 | 2 | 0.55 | 0.39 | 0.39 |
| qwen2-72b-instruct | 71.8 | 82.4 | 35.2 | 2 | 0.56 | 0.39 | 0.4 |
| qwen2-math-72b-instruct | 68.6 | 80.8 | 33.2 | 2 | 0.58 | 0.38 | 0.43 |
| qwen1.5-72b-chat | 65.4 | 76.5 | 31.3 | 2 | 0.59 | 0.42 | 0.41 |
| google_gemma_3_4b_it | 64.4 | 81.2 | 31.2 | 5 | 0.59 | 0.47 | 0.36 |
| qwen2.5-coder-14b-instruct | 63.7 | 82.6 | 30.3 | 3 | 0.6 | 0.38 | 0.46 |
| qwen1.5-32b-chat | 60.9 | 73.9 | 28.3 | 2 | 0.6 | 0.41 | 0.45 |
| mistralai_mixtral_8x7b_instruct_v0.1 | 58.3 | 74.6 | 26.9 | 3 | 0.61 | 0.45 | 0.42 |
| llama-3.1-8B-instruct | 54.7 | 54.7 | 25.1 | 7 | 0.62 | 0.62 | 0 |
| mistralai_mathstral_7b_v0.1 | 53 | 76.3 | 24.1 | 3 | 0.62 | 0.38 | 0.49 |
| qwen2-math-7b-instruct | 51.9 | 75 | 23.5 | 4 | 0.62 | 0.43 | 0.44 |
| llama-3.2-3B-instruct | 49.9 | 49.9 | 22.3 | 10 | 0.62 | 0.62 | 0 |
| qwen3-1.7b | 49 | 63.3 | 21.5 | 4 | 0.62 | 0.52 | 0.34 |
| mistralai_ministral_8b_instruct_2410 | 47.2 | 72.4 | 21.1 | 3 | 0.62 | 0.35 | 0.51 |
| qwen2.5-coder-3b-instruct | 46.7 | 75.9 | 20.8 | 4 | 0.62 | 0.37 | 0.49 |
| qwen2.5-coder-7b-instruct | 46.5 | 72 | 20.7 | 3 | 0.62 | 0.35 | 0.51 |
| mistralai_mistral_7b_instruct_v0.3 | 45.1 | 65.4 | 19.5 | 3 | 0.62 | 0.42 | 0.45 |
| deepseek_v2_lite_chat | 41.4 | 55.8 | 18.4 | 2 | 0.61 | 0.39 | 0.47 |
| qwen1.5-14b-chat | 36.8 | 61.1 | 16.1 | 3 | 0.6 | 0.34 | 0.49 |
| mistralai_mistral_7b_instruct_v0.1 | 35.8 | 59.1 | 15.3 | 3 | 0.59 | 0.36 | 0.47 |
| mistralai_mistral_7b_instruct_v0.2 | 35.3 | 53.9 | 14.5 | 3 | 0.59 | 0.41 | 0.43 |
| qwen2-math-1.5b-instruct | 32.7 | 53.2 | 13.9 | 3 | 0.58 | 0.38 | 0.44 |
| qwen3-0.6b | 30.6 | 54.8 | 13.2 | 4 | 0.57 | 0.37 | 0.43 |
| deepseek_r1_distill_llama_70b | 30.4 | 44.5 | 12.9 | 2 | 0.57 | 0.33 | 0.47 |
| qwen2.5-coder-1.5b-instruct | 28.7 | 59.8 | 12.5 | 4 | 0.56 | 0.29 | 0.48 |
| llama-3.2-1B-instruct | 27.5 | 27.5 | 12.2 | 13 | 0.55 | 0.55 | 0 |
| qwen2-7b-instruct | 27.3 | 50.1 | 11.4 | 3 | 0.55 | 0.3 | 0.46 |
| deepseek_r1_distill_qwen_7b | 25.6 | 46.7 | 10.4 | 3 | 0.54 | 0.3 | 0.45 |
| qwen1.5-7b-chat | 22.3 | 44.2 | 9.25 | 3 | 0.52 | 0.26 | 0.45 |
| deepseek_r1_distill_llama_8b | 22.1 | 49.7 | 8.96 | 4 | 0.51 | 0.25 | 0.45 |
| qwen2.5-coder-0.5b-instruct | 21.7 | 50.5 | 9.77 | 4 | 0.51 | 0.24 | 0.45 |
| deepseek_r1_distill_qwen_14b | 19.2 | 37.5 | 7.61 | 3 | 0.49 | 0.26 | 0.41 |
| deepseek_r1_distill_qwen_32b | 17.3 | 28.5 | 6.94 | 2 | 0.47 | 0.22 | 0.41 |
| qwen2-1.5b-instruct | 11.6 | 33.5 | 5.08 | 4 | 0.4 | 0.15 | 0.37 |
| qwen1.5-1.8b-chat | 11.3 | 25.8 | 4.66 | 3 | 0.39 | 0.17 | 0.35 |
| qwen1.5-0.5b-chat | 10.6 | 29.8 | 4.57 | 4 | 0.38 | 0.16 | 0.35 |
| qwen2-0.5b-instruct | 9.41 | 28 | 4.28 | 4 | 0.36 | 0.13 | 0.34 |
| deepseek_r1_distill_qwen_1.5b | 8.6 | 25.5 | 3.56 | 4 | 0.35 | 0.13 | 0.32 |