\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrr}
\toprule
Model & Mean score & FinQA - Observed inference time (s) & FinanceBench - Observed inference time (s) & BANKING77 - Observed inference time (s) \\
\midrule
DeepSeek v3 & 1.6441400513648985 & 1.6215074775218963 & 2.3244316458702086 & 0.986481030702591 \\
Llama 3 Instruct (70B) & 1.2487585032780966 & 1.1935231678485871 & 2.0878336429595947 & 0.4649186990261078 \\
Llama 3 Instruct (8B) & 0.5432092157999675 & 0.5183302774429321 & 0.8005511403083801 & 0.3107462296485901 \\
Llama 3.1 Instruct Turbo (405B) & 4.28161437750998 & 8.742596358060837 & 3.3547147291047232 & 0.7475320453643799 \\
Llama 3.1 Instruct Turbo (70B) & 1.3251046537785303 & 1.639717893600464 & 1.5581841502870832 & 0.7774119174480438 \\
Llama 3.1 Instruct Turbo (8B) & 0.6645607430594308 & 0.5366286609172821 & 1.1649989673069545 & 0.2920546009540558 \\
Llama 3.2 Vision Instruct Turbo (11B) & 0.549496264048985 & 0.5078834631443023 & 0.8875142914908273 & 0.25309103751182555 \\
Llama 3.2 Vision Instruct Turbo (90B) & 0.9633288103625888 & 1.1570807015895843 & 1.383609472002302 & 0.3492962574958801 \\
Mistral Instruct v0.3 (7B) & 1.3351330523831504 & 0.8072856194972992 & 2.9810388735362463 & 0.21707466411590576 \\
Mixtral Instruct (8x22B) & 1.0372571725391206 & 1.0518146810531617 & 1.6796365550586156 & 0.3803202815055847 \\
Mixtral Instruct (8x7B) & 4.79706891756966 & 1.8435993757247924 & 10.921213039330073 & 1.6263943376541137 \\
Qwen1.5 Chat (72B) & 1.1674216078917186 & 1.1098942415714264 & 2.079380118846893 & 0.31299046325683594 \\
Qwen2 Instruct (72B) & 1.29548720233781 & 1.0646638963222503 & 2.451318861757006 & 0.3704788489341736 \\
Qwen2.5 Instruct Turbo (72B) & 1.6360975090889704 & 1.8776017315387725 & 2.566500691005162 & 0.46419010472297667 \\
Qwen2.5 Instruct Turbo (7B) & 0.563066030275254 & 0.6377876965999604 & 0.7495870249611991 & 0.3018233692646027 \\
Claude 3 Sonnet (20240229) & 2.5720622040884837 & 2.5879824924468995 & 3.914769572871072 & 1.2134345469474792 \\
Claude 3 Opus (20240229) & 5.389918523811159 & 6.093606931209564 & 7.012494901248387 & 3.0636537389755247 \\
Claude 3.5 Haiku (20241022) & 3.199476380030314 & 3.182034896373749 & 3.047915458679199 & 3.3684787850379942 \\
Claude 3.5 Sonnet (20240620) & 1.9953247012864976 & 2.699126140117645 & 2.4654176797185627 & 0.8214302840232849 \\
Claude 3.7 Sonnet (20250219) & 1.8130747020812261 & 2.4652470285892485 & 1.8939257826123919 & 1.080051295042038 \\
Gemini 1.0 Pro (002) & 1.0920048601854415 & 0.9752470808029174 & 1.7817237530435834 & 0.5190437467098236 \\
Gemini 1.5 Flash (001) & 0.6214652478127253 & 0.6374294397830963 & 0.8613148723329817 & 0.36565143132209776 \\
Gemini 1.5 Pro (002) & 1.231865953252429 & 1.6533496351242065 & 1.386471814768655 & 0.6557764098644256 \\
Gemini 2.0 Flash & 0.6052940448579335 & 0.7814593784809113 & 0.6437966653278896 & 0.3906260907649994 \\
Gemini 2.0 Flash Lite (02-05 preview) & 0.560768768015362 & 0.6336144878864288 & 0.6826488052095686 & 0.3660430109500885 \\
GPT-3.5 Turbo (0125) & 0.6044009610584805 & 0.6663375458717347 & 0.7187866057668414 & 0.4280787315368652 \\
GPT-4o (2024-05-13) & 0.5917245814005533 & 0.6516874694824218 & 0.7162548065185547 & 0.40723146820068357 \\
GPT-4o mini (2024-07-18) & 0.6840368672552564 & 0.8331023499965667 & 0.7364970854350499 & 0.4825111663341522 \\
Palmyra-X-004 & 0.8192393098445164 & 0.7265779454708099 & 1.492107113770076 & 0.23903287029266357 \\
Palmyra Fin & 0.7956906373841424 & 0.6866746993064881 & 1.4973145416804723 & 0.2030826711654663 \\
\bottomrule
\end{tabular}}
\caption{Results for efficiency (financial_scenarios)}
\label{fig:efficiency (financial_scenarios)}
\end{table*}