\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrrr}
\toprule
Model & Program Accuracy & Observed inference time (s) & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
Llama 3.1 Instruct (405B) & 0.3665714285714285 & 1.6698721793498532 & 56.0 &  &  & 2262.604591836735 &  \\
Llama 3.1 Instruct (70B) & 0.37085714285714294 & 1.100702072047847 & 56.0 &  &  & 2262.604591836735 &  \\
Llama 3.1 Instruct (8B) & 0.06457142857142859 & 0.9363173421482804 & 56.0 &  &  & 2262.604591836735 &  \\
Mistral Instruct v0.3 (7B) & 0.18257142857142863 & 1.3464759538368305 & 56.0 &  &  & 2863.576020408163 & 76.16173469387755 \\
Mixtral Instruct (8x22B) & 0.2854285714285715 & 1.8540861855964266 & 56.0 &  &  & 2863.576020408163 & 91.24642857142858 \\
Mixtral Instruct (8x7B) & 0.20228571428571437 & 2.413305601416802 & 56.0 &  &  & 2863.576020408163 & 80.02602040816323 \\
Qwen2 Instruct (72B) & 0.37171428571428583 & 1.298397460883977 & 56.0 &  &  & 2603.2285714285713 & 22.195918367346945 \\
Claude 3.5 Haiku (20241022) & 0.35571428571428587 & 1.8178487665799203 & 56.0 &  &  & 2159.4392857142857 & 23.932653061224492 \\
Claude 3.5 Sonnet (20241022) & 0.4331428571428572 & 2.2359990270770327 & 56.0 &  &  & 2159.4392857142857 & 24.56071428571429 \\
GPT-4o (2024-11-20) & 0.3982857142857143 & 0.5733635174984835 & 56.0 &  &  & 2265.8586734693877 & 14.932142857142857 \\
GPT-4o mini (2024-07-18) & 0.33485714285714285 & 0.7121497241818174 & 56.0 &  &  & 2265.8586734693877 & 15.313265306122448 \\
\bottomrule
\end{tabular}}
\caption{Results for fin_qa (fin_qa)}
\label{fig:fin_qa (fin_qa)}
\end{table*}