\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrr}
\toprule
Model & Execution Accuracy & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
Llama 3.1 Instruct Turbo (405B) & 0.77 & 100.0 &  &  & 365.01 & 168.06 \\
Llama 3.1 Instruct Turbo (70B) & 0.71 & 100.0 &  &  & 365.01 & 165.82 \\
Llama 3.1 Instruct Turbo (8B) & 0.61 & 100.0 &  &  & 365.01 & 169.2 \\
Claude 3.5 Haiku (20241022) & 0.63 & 100.0 &  &  & 454.04 & 143.6 \\
Claude 3.5 Sonnet (20240620) & 0.66 & 100.0 &  &  & 454.04 & 184.57 \\
Gemini 1.5 Pro (002) & 0.8 & 100.0 &  &  & 443.55 &  \\
Gemini 1.5 Flash (002) & 0.79 & 100.0 &  &  & 443.55 &  \\
GPT-4o (2024-08-06) & 0.81 & 100.0 &  &  & 367.53 & 183.2 \\
GPT-4o mini (2024-07-18) & 0.72 & 100.0 &  &  & 367.53 & 176.02 \\
\bottomrule
\end{tabular}}
\caption{Results for spider_ (spider)}
\label{fig:spider_ (spider)}
\end{table*}