\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrrr}
\toprule
Model & Correct Answer & Observed inference time (s) & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
DeepSeek v3 & 0.6214285714285714 & 2.3244316458702086 & 140.0 & 5.0 &  & 5111.521428571428 &  \\
Llama 3 Instruct (70B) & 0.6071428571428571 & 2.0878336429595947 & 140.0 & 5.0 &  & 5143.964285714285 & 91.06428571428572 \\
Llama 3 Instruct (8B) & 0.19285714285714287 & 0.8005511403083801 & 140.0 & 5.0 &  & 5143.964285714285 & 113.29285714285714 \\
Llama 3.1 Instruct Turbo (405B) & 0.6285714285714286 & 3.3547147291047232 & 140.0 & 5.0 &  & 5143.964285714285 & 56.371428571428574 \\
Llama 3.1 Instruct Turbo (70B) & 0.5357142857142857 & 1.5581841502870832 & 140.0 & 5.0 &  & 5143.964285714285 & 34.035714285714285 \\
Llama 3.1 Instruct Turbo (8B) & 0.5142857142857142 & 1.1649989673069545 & 140.0 & 5.0 &  & 5143.964285714285 & 84.56428571428572 \\
Llama 3.2 Vision Instruct Turbo (11B) & 0.5071428571428571 & 0.8875142914908273 & 140.0 & 5.0 &  & 5143.964285714285 &  \\
Llama 3.2 Vision Instruct Turbo (90B) & 0.5571428571428572 & 1.383609472002302 & 140.0 & 5.0 &  & 5143.964285714285 &  \\
Mistral Instruct v0.3 (7B) & 0.39285714285714285 & 2.9810388735362463 & 140.0 & 5.0 &  & 7446.614285714286 & 88.35 \\
Mixtral Instruct (8x22B) & 0.5214285714285715 & 1.6796365550586156 & 140.0 & 5.0 &  & 7446.614285714286 & 72.95714285714286 \\
Mixtral Instruct (8x7B) & 0.44285714285714284 & 10.921213039330073 & 140.0 & 5.0 &  & 7446.614285714286 & 75.66428571428571 \\
Qwen1.5 Chat (72B) & 0.5285714285714286 & 2.079380118846893 & 140.0 & 5.0 &  & 6206.521428571428 & 59.8 \\
Qwen2 Instruct (72B) & 0.55 & 2.451318861757006 & 140.0 & 5.0 &  & 6206.521428571428 & 57.40714285714286 \\
Qwen2.5 Instruct Turbo (72B) & 0.5857142857142857 & 2.566500691005162 & 140.0 & 5.0 &  & 6206.521428571428 & 63.128571428571426 \\
Qwen2.5 Instruct Turbo (7B) & 0.42857142857142855 & 0.7495870249611991 & 140.0 & 5.0 &  & 6206.521428571428 & 28.964285714285715 \\
Claude 3 Sonnet (20240229) & 0.65 & 3.914769572871072 & 140.0 & 5.0 &  & 5641.1 & 117.62142857142857 \\
Claude 3 Opus (20240229) & 0.7 & 7.012494901248387 & 140.0 & 5.0 &  & 5641.1 & 103.92142857142858 \\
Claude 3.5 Haiku (20241022) & 0.6285714285714286 & 3.047915458679199 & 140.0 & 5.0 &  & 5641.1 & 42.30714285714286 \\
Claude 3.5 Sonnet (20240620) & 0.65 & 2.4654176797185627 & 140.0 & 5.0 &  & 5641.1 & 91.79285714285714 \\
Claude 3.7 Sonnet (20250219) & 0.6714285714285714 & 1.8939257826123919 & 140.0 & 5.0 &  & 5641.1 & 32.6 \\
Gemini 1.0 Pro (002) & 0.4357142857142857 & 1.7817237530435834 & 140.0 & 5.0 &  & 6770.978571428572 &  \\
Gemini 1.5 Flash (001) & 0.5714285714285714 & 0.8613148723329817 & 140.0 & 5.0 &  & 6770.978571428572 &  \\
Gemini 1.5 Pro (002) & 0.5785714285714286 & 1.386471814768655 & 140.0 & 5.0 &  & 6770.978571428572 &  \\
Gemini 2.0 Flash & 0.6071428571428571 & 0.6437966653278896 & 140.0 & 5.0 &  & 6770.978571428572 &  \\
Gemini 2.0 Flash Lite (02-05 preview) & 0.5142857142857142 & 0.6826488052095686 & 140.0 & 5.0 &  & 6770.978571428572 &  \\
GPT-3.5 Turbo (0125) & 0.6 & 0.7187866057668414 & 140.0 & 5.0 &  & 5144.021428571428 & 21.614285714285714 \\
GPT-4o (2024-05-13) & 0.6642857142857143 & 0.7162548065185547 & 140.0 & 5.0 &  & 5087.685714285714 & 17.37857142857143 \\
GPT-4o mini (2024-07-18) & 0.5428571428571428 & 0.7364970854350499 & 140.0 & 5.0 &  & 5087.685714285714 & 29.55 \\
Palmyra-X-004 & 0.5785714285714286 & 1.492107113770076 & 140.0 & 5.0 &  & 5143.964285714285 & 41.84285714285714 \\
Palmyra Fin & 0.5357142857142857 & 1.4973145416804723 & 140.0 & 5.0 &  & 5143.964285714285 & 50.378571428571426 \\
\bottomrule
\end{tabular}}
\caption{Results for financebench_ (financebench)}
\label{fig:financebench_ (financebench)}
\end{table*}