\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) & 0.61 & 100.0 &  &  & 1024.99 & 213.94 \\
Llama 3.1 Instruct Turbo (70B) & 0.55 & 100.0 &  &  & 1024.99 & 222.9 \\
Llama 3.1 Instruct Turbo (8B) & 0.37 & 100.0 &  &  & 1024.99 & 224.91 \\
Claude 3.5 Haiku (20241022) & 0.48 & 100.0 &  &  & 1102.77 & 197.73 \\
Claude 3.5 Sonnet (20240620) & 0.47 & 100.0 &  &  & 1102.77 & 232.02 \\
Gemini 1.5 Pro (002) & 0.61 & 100.0 &  &  & 1181.01 &  \\
Gemini 1.5 Flash (002) & 0.63 & 100.0 &  &  & 1181.01 &  \\
GPT-4o (2024-08-06) & 0.62 & 100.0 &  &  & 1030.82 & 240.35 \\
GPT-4o mini (2024-07-18) & 0.54 & 100.0 &  &  & 1030.82 & 227.43 \\
\bottomrule
\end{tabular}}
\caption{Results for bird_sql_ (bird_sql)}
\label{fig:bird_sql_ (bird_sql)}
\end{table*}