\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrrrrrrr}
\toprule
Model & Mean win rate & FinQA - Observed inference time (s) & NumericNLG - Observed inference time (s) & QTSumm - Observed inference time (s) & SciGen - Observed inference time (s) & TabFact - Observed inference time (s) & Tablebench Data Analysis - Observed inference time (s) & Tablebench Fact Checking - Observed inference time (s) & Tablebench Numerical Reasoning - Observed inference time (s) & Turl Col Type - Observed inference time (s) & WikiTableQuestions - Observed inference time (s) \\
\midrule
Llama 3.1 Instruct (405B) & 0.17 & 1.6698721793498532 & 17.676794736943343 & 5.562434273761708 & 18.042542720627004 & 4.218391811556931 & 7.16633508078906 & 2.7509390913710305 & 5.828722149205727 & 2.2288837404616615 & 1.4842608719199786 \\
Llama 3.1 Instruct (70B) & 0.65 & 1.100702072047847 & 7.459384892124537 & 2.447730728820131 & 8.02657226048983 & 1.2749907392242645 & 1.775889611166633 & 1.4575051451215941 & 1.4544384274230777 & 1.3008998136487158 & 0.7290796170010786 \\
Llama 3.1 Instruct (8B) & 0.51 & 0.9363173421482804 & 4.668394575752952 & 1.8084831020334267 & 4.7058891951382815 & 3.318177656512643 & 3.4341909921567697 & 2.2951676806625056 & 2.845470235058213 & 2.4503582468348504 & 0.9881334972294735 \\
Mistral Instruct v0.3 (7B) & 0.51 & 1.3464759538368305 & 4.506592315888333 & 2.8161992929793978 & 3.7294595508785044 & 1.6989465622121038 & 2.1881751539269274 & 2.0907045146640466 & 1.8431657459541828 & 3.2140955526238955 & 1.9267112949692953 \\
Mixtral Instruct (8x22B) & 0.37 & 1.8540861855964266 & 3.6158475545401996 & 2.6241197157692127 & 6.059049909717434 & 2.0740070231700187 & 3.498515106999145 & 3.4899976937138297 & 2.3353960125990016 & 2.2567706714523794 & 2.3230318594872257 \\
Mixtral Instruct (8x7B) & 0.54 & 2.413305601416802 & 2.8386274062391474 & 2.5247108876050177 & 2.547883386926337 & 3.1651858848146452 & 3.01390348638807 & 1.8722484024203554 & 1.7195386017262215 & 2.958263348868501 & 1.4607247011139213 \\
Qwen2 Instruct (72B) & 0.52 & 1.298397460883977 & 6.633745721480768 & 3.0907022118568412 & 7.220263597467443 & 1.6615930949354005 & 2.499562847760259 & 1.8244810779483949 & 1.6748373420737726 & 1.4133690556582674 & 1.749211037041711 \\
Claude 3.5 Haiku (20241022) & 0.21000000000000002 & 1.8178487665799203 & 4.707854415870365 & 3.648706715578562 & 5.07264112325815 & 4.990259047916958 & 3.643230357948614 & 2.168982114353959 & 3.1474682281902973 & 3.264222191933555 & 2.289209246300422 \\
Claude 3.5 Sonnet (20241022) & 0.23 & 2.2359990270770327 & 5.850016102747353 & 3.335673967560569 & 6.3420704296657 & 3.5122133809930354 & 3.3197759598128656 & 2.537761694071244 & 2.7710964385777306 & 2.9116307213746713 & 2.3948417736719017 \\
GPT-4o (2024-11-20) & 0.98 & 0.5733635174984835 & 2.6150744564265103 & 1.8432122044510895 & 2.3081782770680856 & 0.4460545551486132 & 0.8589584695076454 & 0.558549266931962 & 0.6017049137160271 & 0.4363358132099857 & 0.5488430032685432 \\
GPT-4o mini (2024-07-18) & 0.81 & 0.7121497241818174 & 3.6823514871684253 & 3.212718227800432 & 3.894243710381643 & 0.5197380451375183 & 1.4290929236703993 & 0.6631737837986071 & 0.567422073853775 & 0.6396627369658041 & 0.698139840825101 \\
\bottomrule
\end{tabular}}
\caption{Results for efficiency (table_scenarios)}
\label{fig:efficiency (table_scenarios)}
\end{table*}