\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrrr}
\toprule
Model & F1 Strings & Observed inference time (s) & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
Llama 3.1 Instruct (405B) & 0.9019872405712213 & 0.7292399008183637 & 60.0 &  &  & 1393.082857142857 &  \\
Llama 3.1 Instruct (70B) & 0.9072035899496431 & 0.4631964650454302 & 60.0 &  &  & 1393.082857142857 &  \\
Llama 3.1 Instruct (8B) & 0.8000881324137465 & 0.3220091754048943 & 60.0 &  &  & 1393.082857142857 &  \\
DeepSeek v3 & 0.9080285004512761 & 2.078922971430279 & 60.0 &  &  & 1405.0633333333328 &  \\
Mistral Instruct v0.3 (7B) & 0.6757413079564445 & 0.32607980932508196 & 60.0 &  &  & 1714.3566666666666 & 13.54809523809524 \\
Mixtral Instruct (8x22B) & 0.6678444615249296 & 0.9881084127653212 & 60.0 &  &  & 1714.3566666666666 & 48.96809523809524 \\
Mixtral Instruct (8x7B) & 0.6191441528040539 & 0.6640999673661732 & 60.0 &  &  & 1714.3566666666666 & 53.574285714285715 \\
Qwen2 Instruct (72B) & 0.861983470333166 & 0.4584075732458206 & 60.0 &  &  & 1563.2780952380951 & 5.649047619047618 \\
Claude 3.5 Haiku (20241022) & 0.8498416404505047 & 1.160056677205222 & 60.0 &  &  & 1381.8547619047622 & 7.496666666666665 \\
Claude 3.5 Sonnet (20241022) & 0.9193542992845425 & 1.690446512472062 & 60.0 &  &  & 1381.8547619047622 & 4.225714285714286 \\
Gemini 1.5 Pro (002) & 0.8853215694496012 & 0.9227315941311064 & 60.0 &  &  & 1447.402857142857 &  \\
Gemini 1.5 Flash (002) & 0.8806806423626965 & 0.29746713138761977 & 60.0 &  &  & 1447.402857142857 &  \\
GPT-4o (2024-11-20) & 0.9074941286428512 & 0.5559829222588313 & 60.0 &  &  & 1378.244285714286 & 3.490952380952381 \\
GPT-4o mini (2024-07-18) & 0.8842197785908746 & 0.5417477229663304 & 60.0 &  &  & 1378.244285714286 & 3.3200000000000003 \\
\bottomrule
\end{tabular}}
\caption{Results for wikitq (wikitq)}
\label{fig:wikitq (wikitq)}
\end{table*}