lcb_codegen_v5: by models

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SE predicted by accuracy

The typical standard errors between pairs of models on this dataset as a function of the absolute accuracy.

SE vs accuracy difference

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.

CDF of question level accuracy

Results table by model

model pass1 pass@count win_rate count SE(A) SE_x(A) SE_pred(A)
Kimi-k1.6-IOI-high 86 86 27.8 1 1.2 NaN NaN
O1-2024-12-17 (High) 83.2 83.2 26 1 1.3 NaN NaN
Kimi-k1.6-IOI 80.1 88.5 23.4 10 1.3 1.2 0.69
QwQ-Max-Preview 80 80 23.2 1 1.3 NaN NaN
O1-2024-12-17 (Med) 78.3 78.3 22.1 1 1.4 NaN NaN
DeepSeek-R1-Preview 77.9 87 21.5 10 1.4 1.2 0.69
Llama-3_1-Nemotron-Ultra-253B-v1 77.7 77.7 22.3 1 1.4 NaN NaN
O1-2024-12-17 (Low) 75.9 75.9 20.7 1 1.4 NaN NaN
DeepCoder-14B-Preview 73.3 73.3 20.6 1 1.5 NaN NaN
O1-Mini-2024-09-12 68.4 68.4 16.7 1 1.6 NaN NaN
Llama-3_1-Nemotron-Nano-8B-v1 64.4 64.4 15 1 1.6 NaN NaN
DeepSeek-R1-Lite-Preview 63.1 79.5 13.3 10 1.6 1.4 0.89
QwQ-32B-Preview 59.9 59.9 11.5 1 1.7 NaN NaN
O1-Preview-2024-09-12 55.6 55.6 10.5 1 1.7 NaN NaN
DeepSeek-V3 copy 54.5 63.6 9.84 10 1.7 1.6 0.61
MetaStone-L1-7B 54.1 74.3 10 10 1.7 1.4 0.96
Gemini-Flash-2.0-Thinking 51.1 64.1 8.08 10 1.7 1.5 0.77
Claude-3.5-Sonnet-20240620 48 51.4 7.45 10 1.7 1.6 0.4
GPT-4O-2024-05-13 43.4 50.7 5.25 10 1.7 1.6 0.53
Gemini-Pro-1.5-002 42.1 47.7 4.95 10 1.7 1.6 0.47
Mistral-Large 37.3 47.4 3.66 10 1.6 1.5 0.62
Gemini-Flash-1.5-002 36.1 39.2 3.36 10 1.6 1.6 0.34
Codestral-Latest 35.3 42.2 3.31 10 1.6 1.5 0.53
AzeroGPT-64b 22 40.7 1.15 10 1.4 1.1 0.86