MTVA-Bench is a new benchmark for evaluating language models in cascaded voice agents, specifically addressing limitations of existing evaluation methods. The benchmark assesses the language model's performance in a real-world scenario, considering factors such as transcription issues, caller's voice, and script compliance. The results show significant variations in performance across six models, highlighting areas for improvement.