\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrr}
\toprule
Model & Mean score & HarmBench - LM Evaluated Safety score & SimpleSafetyTests - LM Evaluated Safety score & BBQ - BBQ accuracy & Anthropic Red Team - LM Evaluated Safety score & XSTest - LM Evaluated Safety score \\
\midrule
DBRX Instruct & 0.6276671511222641 & 0.2710163111668758 & 0.535 & 0.792 & 0.765875 & 0.7744444444444445 \\
DeepSeek LLM Chat (67B) & 0.872538888888889 & 0.649375 & 0.9675 & 0.862 & 0.994375 & 0.8894444444444445 \\
DeepSeek R1 & 0.8654416666666667 & 0.47125 & 0.975 & 0.966 & 0.961625 & 0.9533333333333334 \\
DeepSeek R1 (hide reasoning) & 0.8683138888888889 & 0.47875 & 0.98 & 0.966 & 0.972375 & 0.9444444444444444 \\
DeepSeek v3 & 0.8717722222222223 & 0.496875 & 0.9525 & 0.967 & 0.971375 & 0.9711111111111111 \\
Llama 3 Instruct (70B) & 0.8949055555555556 & 0.64 & 0.99 & 0.91 & 0.96675 & 0.9677777777777777 \\
Llama 3 Instruct (8B) & 0.8857472222222222 & 0.726875 & 0.9925 & 0.765 & 0.98825 & 0.9561111111111111 \\
Llama 3.1 Instruct Turbo (405B) & 0.8965777777777777 & 0.626875 & 0.9875 & 0.945 & 0.964625 & 0.9588888888888889 \\
Llama 3.1 Instruct Turbo (70B) & 0.844975 & 0.46875 & 0.925 & 0.954 & 0.932125 & 0.945 \\
Llama 3.1 Instruct Turbo (8B) & 0.8620916666666666 & 0.61625 & 0.9875 & 0.785 & 0.968375 & 0.9533333333333334 \\
Llama 4 Maverick (17Bx128E) Instruct FP8 & 0.9059250000000001 & 0.660625 & 0.9925 & 0.93 & 0.9815 & 0.965 \\
Llama 4 Scout (17Bx16E) Instruct & 0.8731361111111111 & 0.6 & 0.97 & 0.875 & 0.965125 & 0.9555555555555556 \\
Mistral Instruct v0.1 (7B) & 0.5255413735343384 & 0.23304020100502512 & 0.4325 & 0.565 & 0.7105 & 0.6866666666666666 \\
Mistral Instruct v0.3 (7B) & 0.7296861111111111 & 0.34375 & 0.81 & 0.668 & 0.901125 & 0.9255555555555556 \\
Mixtral Instruct (8x22B) & 0.8507611111111111 & 0.520625 & 0.915 & 0.916 & 0.961625 & 0.9405555555555556 \\
Mixtral Instruct (8x7B) & 0.814336111111111 & 0.45125 & 0.905 & 0.857 & 0.927875 & 0.9305555555555556 \\
Qwen1.5 Chat (72B) & 0.8862194444444444 & 0.648125 & 0.99 & 0.846 & 0.98975 & 0.9572222222222222 \\
Qwen2 Instruct (72B) & 0.9326777777777778 & 0.7675 & 0.985 & 0.951 & 0.991 & 0.9688888888888889 \\
Qwen2.5 Instruct Turbo (72B) & 0.9314388888888889 & 0.728125 & 1.0 & 0.954 & 0.995625 & 0.9794444444444445 \\
Qwen2.5 Instruct Turbo (7B) & 0.8986861111111111 & 0.676875 & 0.96 & 0.906 & 0.985 & 0.9655555555555555 \\
Qwen3 235B A22B FP8 Throughput & 0.8996295550553054 & 0.569375 & 0.985 & 0.966 & 0.9899949974987494 & 0.9877777777777778 \\
Claude 3 Haiku (20240307) & 0.8779805555555555 & 0.9125 & 1.0 & 0.625 & 0.999625 & 0.8527777777777777 \\
Claude 3 Sonnet (20240229) & 0.9428416666666667 & 0.9575 & 1.0 & 0.9 & 0.998375 & 0.8583333333333333 \\
Claude 3 Opus (20240229) & 0.96745 & 0.974375 & 1.0 & 0.94 & 0.997875 & 0.925 \\
Claude 3.5 Sonnet (20240620) & 0.9766972222222222 & 0.980625 & 1.0 & 0.949 & 0.99775 & 0.9561111111111111 \\
Claude 3.7 Sonnet (20250219) & 0.9449138888888889 & 0.8425 & 1.0 & 0.921 & 0.996625 & 0.9644444444444444 \\
Command R & 0.8094027777777777 & 0.504375 & 0.9425 & 0.724 & 0.93725 & 0.9388888888888889 \\
Command R Plus & 0.8605166666666666 & 0.485 & 1.0 & 0.899 & 0.98025 & 0.9383333333333334 \\
Gemini 1.5 Pro (001) & 0.9244637632607482 & 0.79875 & 0.9748743718592965 & 0.945 & 0.99925 & 0.9044444444444445 \\
Gemini 1.5 Flash (001) & 0.9273309603573423 & 0.8 & 0.9698492462311558 & 0.947 & 0.99925 & 0.9205555555555556 \\
Gemini 2.0 Flash & 0.9095404801786712 & 0.661875 & 0.9849246231155779 & 0.954 & 0.994125 & 0.9527777777777777 \\
Gemini 2.0 Flash Lite (02-05 preview) & 0.9078857202680067 & 0.721875 & 0.9773869346733668 & 0.92 & 0.9935 & 0.9266666666666666 \\
Gemini 2.5 Pro (03-25 preview) & 0.9139781825795644 & 0.654375 & 0.9698492462311558 & 0.964 & 0.995 & 0.9866666666666667 \\
Gemini 2.0 Pro (02-05 preview) & 0.9050526521496371 & 0.653125 & 0.9748743718592965 & 0.956 & 0.987375 & 0.9538888888888889 \\
Gemini 2.5 Flash (04-17 preview) & 0.9118123477272804 & 0.62625 & 0.9798994974874372 & 0.9769539078156313 & 0.987625 & 0.9883333333333333 \\
Mistral Small 3 (2501) & 0.8467805555555555 & 0.451875 & 0.9325 & 0.933 & 0.96375 & 0.9527777777777777 \\
GPT-3.5 Turbo (0613) & 0.8528694444444443 & 0.68 & 0.9575 & 0.699 & 0.995625 & 0.9322222222222222 \\
GPT-3.5 Turbo (1106) & 0.8349785545550553 & 0.685625 & 0.9225 & 0.649 & 0.9799899949974987 & 0.9377777777777778 \\
GPT-3.5 Turbo (0125) & 0.8135944444444444 & 0.6325 & 0.92 & 0.606 & 0.96725 & 0.9422222222222222 \\
GPT-4 Turbo (2024-04-09) & 0.9606194444444445 & 0.898125 & 0.99 & 0.941 & 0.99675 & 0.9772222222222222 \\
GPT-4o (2024-05-13) & 0.9459046926240898 & 0.829375 & 0.985 & 0.951 & 0.9913706853426714 & 0.9727777777777777 \\
GPT-4o mini (2024-07-18) & 0.930425 & 0.849375 & 0.9775 & 0.882 & 0.98325 & 0.96 \\
GPT-4.1 (2025-04-14) & 0.9628527777777778 & 0.916875 & 1.0 & 0.926 & 0.9925 & 0.9788888888888889 \\
GPT-4.1 mini (2025-04-14) & 0.9489138888888888 & 0.85625 & 1.0 & 0.921 & 0.992875 & 0.9744444444444444 \\
GPT-4.1 nano (2025-04-14) & 0.93765 & 0.8675 & 0.99 & 0.875 & 0.99575 & 0.96 \\
GPT-4.5 (2025-02-27 preview) & 0.9646722222222222 & 0.958125 & 1.0 & 0.92 & 0.994125 & 0.9511111111111111 \\
o1 (2024-12-17) & 0.9757999999999999 & 0.963125 & 0.99 & 0.973 & 0.982875 & 0.97 \\
o1-mini (2024-09-12) & 0.9553232616308154 & 0.885 & 0.97 & 0.969 & 0.9826163081540771 & 0.97 \\
o3-mini (2025-01-31) & 0.9619611111111113 & 0.951875 & 0.99 & 0.941 & 0.986375 & 0.9405555555555556 \\
o3 (2025-04-16) & 0.9816055555555556 & 0.98375 & 0.99 & 0.979 & 0.9825 & 0.9727777777777777 \\
o4-mini (2025-04-16) & 0.9732469688542826 & 0.97 & 1.0 & 0.94 & 0.982375 & 0.9738598442714127 \\
Palmyra-X-004 & 0.9325527777777778 & 0.738125 & 1.0 & 0.955 & 0.98575 & 0.9838888888888889 \\
Palmyra X5 & 0.9263916666666667 & 0.738125 & 1.0 & 0.948 & 0.9925 & 0.9533333333333334 \\
Palmyra-Med (70B) & 0.8567666666666668 & 0.55625 & 0.985 & 0.801 & 0.97825 & 0.9633333333333334 \\
Palmyra Fin & 0.9479333333333333 & 0.840625 & 1.0 & 0.942 & 0.995375 & 0.9616666666666667 \\
Grok 3 Beta & 0.8552638888888889 & 0.453125 & 0.9675 & 0.936 & 0.95525 & 0.9644444444444444 \\
Grok 3 mini Beta & 0.9022388888888889 & 0.571875 & 0.9925 & 0.967 & 0.995375 & 0.9844444444444445 \\
\bottomrule
\end{tabular}}
\caption{Results for accuracy (safety_scenarios)}
\label{fig:accuracy (safety_scenarios)}
\end{table*}