\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrr}
\toprule
Model & BBQ accuracy & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
DBRX Instruct & 0.792 & 1000.0 &  &  & 94.014 & 1.0 \\
DeepSeek LLM Chat (67B) & 0.862 & 1000.0 &  &  & 101.547 & 1.0 \\
DeepSeek R1 & 0.966 & 1000.0 &  &  & 94.098 &  \\
DeepSeek R1 (hide reasoning) & 0.966 & 1000.0 &  &  & 94.098 &  \\
DeepSeek v3 & 0.967 & 1000.0 &  &  & 94.098 &  \\
Llama 3 Instruct (70B) & 0.91 & 1000.0 &  &  & 94.014 & 1.0 \\
Llama 3 Instruct (8B) & 0.765 & 1000.0 &  &  & 94.014 & 1.0 \\
Llama 3.1 Instruct Turbo (405B) & 0.945 & 1000.0 &  &  & 94.014 & 1.0 \\
Llama 3.1 Instruct Turbo (70B) & 0.954 & 1000.0 &  &  & 94.014 & 1.0 \\
Llama 3.1 Instruct Turbo (8B) & 0.785 & 1000.0 &  &  & 94.014 & 1.0 \\
Llama 4 Maverick (17Bx128E) Instruct FP8 & 0.93 & 1000.0 &  &  & 93.625 & 1.0 \\
Llama 4 Scout (17Bx16E) Instruct & 0.875 & 1000.0 &  &  & 93.625 & 1.0 \\
Mistral Instruct v0.1 (7B) & 0.565 & 1000.0 &  &  & 107.219 & 1.0 \\
Mistral Instruct v0.3 (7B) & 0.668 & 1000.0 &  &  & 107.219 & 1.0 \\
Mixtral Instruct (8x22B) & 0.916 & 1000.0 &  &  & 107.219 & 1.0 \\
Mixtral Instruct (8x7B) & 0.857 & 1000.0 &  &  & 107.219 & 1.0 \\
Qwen1.5 Chat (72B) & 0.846 & 1000.0 &  &  & 94.134 & 1.0 \\
Qwen2 Instruct (72B) & 0.951 & 1000.0 &  &  & 94.134 & 1.0 \\
Qwen2.5 Instruct Turbo (72B) & 0.954 & 1000.0 &  &  & 94.134 & 1.0 \\
Qwen2.5 Instruct Turbo (7B) & 0.906 & 1000.0 &  &  & 94.134 & 1.0 \\
Qwen3 235B A22B FP8 Throughput & 0.966 & 1000.0 &  &  & 94.134 & 306.008 \\
Claude 3 Haiku (20240307) & 0.625 & 1000.0 &  &  & 101.981 & 1.0 \\
Claude 3 Sonnet (20240229) & 0.9 & 1000.0 &  &  & 101.981 & 1.0 \\
Claude 3 Opus (20240229) & 0.94 & 1000.0 &  &  & 101.981 & 1.0 \\
Claude 3.5 Sonnet (20240620) & 0.949 & 1000.0 &  &  & 101.981 & 1.0 \\
Claude 3.7 Sonnet (20250219) & 0.921 & 1000.0 &  &  & 101.981 & 1.0 \\
Command R & 0.724 & 1000.0 &  &  & 98.948 &  \\
Command R Plus & 0.899 & 1000.0 &  &  & 98.948 &  \\
Gemini 1.5 Pro (001) & 0.945 & 1000.0 &  &  & 96.626 &  \\
Gemini 1.5 Flash (001) & 0.947 & 1000.0 &  &  & 96.626 &  \\
Gemini 2.0 Flash & 0.954 & 1000.0 &  &  & 96.626 &  \\
Gemini 2.0 Flash Lite (02-05 preview) & 0.92 & 1000.0 &  &  & 96.626 &  \\
Gemini 2.5 Pro (03-25 preview) & 0.964 & 1000.0 &  &  & 96.626 &  \\
Gemini 2.0 Pro (02-05 preview) & 0.956 & 1000.0 &  &  & 96.626 &  \\
Gemini 2.5 Flash (04-17 preview) & 0.9769539078156313 & 1000.0 &  &  & 96.626 &  \\
Mistral Small 3 (2501) & 0.933 & 1000.0 &  &  & 94.655 & 1.0 \\
GPT-3.5 Turbo (0613) & 0.699 & 1000.0 &  &  & 94.014 & 1.0 \\
GPT-3.5 Turbo (1106) & 0.649 & 1000.0 &  &  & 94.014 & 1.0 \\
GPT-3.5 Turbo (0125) & 0.606 & 1000.0 &  &  & 94.014 & 1.0 \\
GPT-4 Turbo (2024-04-09) & 0.941 & 1000.0 &  &  & 94.014 & 1.0 \\
GPT-4o (2024-05-13) & 0.951 & 1000.0 &  &  & 93.077 & 1.0 \\
GPT-4o mini (2024-07-18) & 0.882 & 1000.0 &  &  & 93.077 & 1.0 \\
GPT-4.1 (2025-04-14) & 0.926 & 1000.0 &  &  & 93.077 & 1.0 \\
GPT-4.1 mini (2025-04-14) & 0.921 & 1000.0 &  &  & 93.077 & 1.0 \\
GPT-4.1 nano (2025-04-14) & 0.875 & 1000.0 &  &  & 93.077 & 1.0 \\
GPT-4.5 (2025-02-27 preview) & 0.92 & 1000.0 &  &  & 93.077 & 1.0 \\
o1 (2024-12-17) & 0.973 & 1000.0 &  &  & 94.014 & 1.011 \\
o1-mini (2024-09-12) & 0.969 & 1000.0 &  &  & 94.014 & 1.022 \\
o3-mini (2025-01-31) & 0.941 & 1000.0 &  &  & 94.014 & 1.0 \\
o3 (2025-04-16) & 0.979 & 1000.0 &  &  & 94.014 & 1.0 \\
o4-mini (2025-04-16) & 0.94 & 1000.0 &  &  & 94.014 & 1.0 \\
Palmyra-X-004 & 0.955 & 1000.0 &  &  & 94.014 & 1.0 \\
Palmyra X5 & 0.948 & 1000.0 &  &  & 103.014 &  \\
Palmyra-Med (70B) & 0.801 & 1000.0 &  &  & 94.014 &  \\
Palmyra Fin & 0.942 & 1000.0 &  &  & 94.014 & 1.0 \\
Grok 3 Beta & 0.936 & 1000.0 &  &  & 92.34 & 1.1 \\
Grok 3 mini Beta & 0.967 & 1000.0 &  &  & 92.34 & 1.043 \\
\bottomrule
\end{tabular}}
\caption{Results for bbq_subject:all (bbq)}
\label{fig:bbq_subject:all (bbq)}
\end{table*}