\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) & 0.35771428571428576 & 1.494107132413613 & 56.0 &  &  & 2304.604591836735 &  \\
Llama 3.1 Instruct (70B) & 0.3682857142857143 & 0.9690839229634881 & 56.0 &  &  & 2304.604591836735 &  \\
Llama 3.1 Instruct (8B) & 0.03942857142857145 & 0.6986956214351187 & 56.0 &  &  & 2304.604591836735 &  \\
DeepSeek v3 & 0.46285714285714286 & 6.00929188010644 & 56.0 &  &  & 2321.1357142857137 &  \\
Mistral Instruct v0.3 (7B) & 0.1942857142857143 & 1.574045292212039 & 56.0 &  &  & 2911.5760204081635 & 48.883163265306116 \\
Mixtral Instruct (8x22B) & 0.27771428571428575 & 1.399338400607206 & 56.0 &  &  & 2911.5760204081635 & 54.785714285714285 \\
Mixtral Instruct (8x7B) & 0.1991428571428572 & 8.373817681049815 & 56.0 &  &  & 2911.5760204081635 & 50.36275510204083 \\
Qwen2 Instruct (72B) & 0.37914285714285706 & 2.104362086130649 & 56.0 &  &  & 2645.2285714285713 & 22.23112244897959 \\
Claude 3.5 Haiku (20241022) & 0.3542857142857143 & 1.324528076940653 & 56.0 &  &  & 2206.4392857142857 & 13.58265306122449 \\
Claude 3.5 Sonnet (20241022) & 0.4322857142857143 & 2.8249946562611323 & 56.0 &  &  & 2206.4392857142857 & 13.553571428571432 \\
Gemini 1.5 Pro (002) & 0.47057142857142864 & 0.9528629599785314 & 56.0 &  &  & 2639.508163265305 &  \\
Gemini 1.5 Flash (002) & 0.428 & 0.4726179485418359 & 56.0 &  &  & 2639.508163265305 &  \\
GPT-4o (2024-11-20) & 0.39628571428571424 & 1.2105105159234029 & 56.0 &  &  & 2307.8586734693877 & 15.094897959183672 \\
GPT-4o mini (2024-07-18) & 0.33514285714285713 & 0.7172553587932976 & 56.0 &  &  & 2307.8586734693877 & 15.301530612244898 \\
\bottomrule
\end{tabular}}
\caption{Results for fin_qa (fin_qa)}
\label{fig:fin_qa (fin_qa)}
\end{table*}