terminal-bench-2.0: 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)
Ante__Gemini-3-Pro-Preview 64.7 82 26.9 5 5.1 4 3.1
Mux__GPT-5.2 60.7 60.7 23.1 1 5.2 NaN NaN
Mux__Claude-Opus-4.5 58.4 58.4 21 1 5.2 NaN NaN
OpenCode__Claude-Opus-4.5 51.7 51.7 17.3 1 5.3 NaN NaN
MAYA__Claude-4.5-sonnet 42.7 42.7 18.7 5 5.2 5.2 0
Terminus2__GLM-4.7 33 50.6 8.85 5 5 3.9 3.1
dakou__qwen3-coder-480b 27.2 42.7 7.53 5 4.7 3.7 2.9