The typical standard errors between pairs of models on this dataset as a function of the absolute accuracy.
| model | pass1 | win_rate | count | SE(A) | SE_x(A) | SE_pred(A) |
|---|---|---|---|---|---|---|
| llama-3.1-70B-instruct | 83.4 | 37 | 12 | 0.46 | 0.46 | 0 |
| qwen3-14b | 82.5 | 36.2 | 11 | 0.47 | 0.42 | 0.22 |
| google_gemma_3_12b_it | 81.8 | 36 | 12 | 0.48 | 0.4 | 0.26 |
| qwen2-72b-instruct | 79 | 34.2 | 10 | 0.5 | 0.4 | 0.31 |
| qwen2-math-72b-instruct | 78.5 | 34 | 10 | 0.51 | 0.4 | 0.32 |
| qwen2.5-coder-32b-instruct | 78.3 | 33.9 | 10 | 0.51 | 0.39 | 0.33 |
| mistralai_mixtral_8x22b_instruct_v0.1 | 77.4 | 33 | 9 | 0.52 | 0.4 | 0.32 |
| qwen3-32b | 76.2 | 33.1 | 9 | 0.53 | 0.42 | 0.32 |
| qwen3-4b | 75.2 | 31.9 | 12 | 0.54 | 0.47 | 0.25 |
| qwen3-8b | 72.9 | 30.6 | 11 | 0.55 | 0.48 | 0.27 |
| qwen2.5-coder-14b-instruct | 71.4 | 29.9 | 11 | 0.56 | 0.41 | 0.38 |
| qwen1.5-72b-chat | 68.3 | 28.2 | 10 | 0.58 | 0.45 | 0.37 |
| llama-3.1-8B-instruct | 66.3 | 27.1 | 15 | 0.59 | 0.59 | 0 |
| qwen1.5-32b-chat | 66.2 | 26.8 | 9 | 0.59 | 0.44 | 0.39 |
| google_gemma_3_4b_it | 64.4 | 27.1 | 11 | 0.59 | 0.49 | 0.34 |
| mistralai_mathstral_7b_v0.1 | 62.2 | 24.8 | 12 | 0.6 | 0.42 | 0.43 |
| mistralai_mixtral_8x7b_instruct_v0.1 | 61.9 | 24.6 | 11 | 0.6 | 0.48 | 0.37 |
| mistralai_ministral_8b_instruct_2410 | 60.2 | 23.8 | 11 | 0.61 | 0.41 | 0.45 |
| qwen2.5-coder-7b-instruct | 59.9 | 23.6 | 12 | 0.61 | 0.41 | 0.45 |
| qwen2-math-7b-instruct | 56.9 | 22.1 | 11 | 0.61 | 0.47 | 0.39 |
| llama-3.2-3B-instruct | 56.8 | 22 | 18 | 0.61 | 0.61 | 0 |
| qwen2.5-coder-3b-instruct | 54.2 | 20.9 | 12 | 0.62 | 0.43 | 0.44 |
| mistralai_mistral_7b_instruct_v0.3 | 51.3 | 19.1 | 12 | 0.62 | 0.47 | 0.41 |
| qwen3-1.7b | 49.3 | 18.3 | 12 | 0.62 | 0.53 | 0.32 |
| deepseek_v2_lite_chat | 46.1 | 17.5 | 9 | 0.62 | 0.44 | 0.43 |
| qwen1.5-14b-chat | 42.3 | 15.9 | 11 | 0.61 | 0.39 | 0.47 |
| mistralai_mistral_7b_instruct_v0.1 | 42.2 | 15.4 | 12 | 0.61 | 0.42 | 0.45 |
| qwen2-math-1.5b-instruct | 41.5 | 15.5 | 12 | 0.61 | 0.44 | 0.42 |
| mistralai_mistral_7b_instruct_v0.2 | 40.5 | 14.3 | 12 | 0.61 | 0.45 | 0.41 |
| qwen2-7b-instruct | 38.5 | 13.9 | 12 | 0.6 | 0.38 | 0.46 |
| qwen2.5-coder-1.5b-instruct | 35.9 | 13.6 | 12 | 0.59 | 0.36 | 0.47 |
| deepseek_r1_distill_llama_70b | 35.6 | 12.9 | 9 | 0.59 | 0.37 | 0.46 |
| llama-3.2-1B-instruct | 34.9 | 13.3 | 21 | 0.59 | 0.59 | 0 |
| deepseek_r1_distill_qwen_7b | 33.1 | 11.5 | 12 | 0.58 | 0.37 | 0.45 |
| qwen3-0.6b | 33.1 | 12.2 | 12 | 0.58 | 0.42 | 0.4 |
| deepseek_r1_distill_llama_8b | 29.1 | 10.1 | 12 | 0.56 | 0.31 | 0.47 |
| qwen2.5-coder-0.5b-instruct | 27 | 10.5 | 12 | 0.55 | 0.34 | 0.43 |
| qwen1.5-7b-chat | 26.6 | 9.37 | 11 | 0.55 | 0.31 | 0.45 |
| deepseek_r1_distill_qwen_14b | 23.4 | 7.79 | 12 | 0.52 | 0.3 | 0.43 |
| qwen2-1.5b-instruct | 22.4 | 8.29 | 12 | 0.52 | 0.25 | 0.45 |
| qwen1.5-0.5b-chat | 21.7 | 8.47 | 12 | 0.51 | 0.29 | 0.42 |
| deepseek_r1_distill_qwen_32b | 21.5 | 7.26 | 7 | 0.51 | 0.26 | 0.44 |
| qwen1.5-1.8b-chat | 19.8 | 7.08 | 11 | 0.49 | 0.29 | 0.4 |
| qwen2-0.5b-instruct | 18.2 | 7.01 | 12 | 0.48 | 0.25 | 0.41 |
| deepseek_r1_distill_qwen_1.5b | 14 | 4.81 | 12 | 0.43 | 0.21 | 0.38 |