Cleanlab's TLM Lite is a new version of the Trustworthy Language Model designed to provide high-quality large language model (LLM) responses with efficient trustworthiness evaluation, addressing the challenge of balancing quality and cost in LLM deployment. TLM Lite uses a hybrid approach by employing powerful LLMs for response generation and smaller, more efficient models for trust evaluation, which optimizes both performance and cost-effectiveness. Users can customize the response and scoring models, allowing for flexible deployment across various applications. Benchmarking results show that TLM Lite outperforms traditional self-evaluation methods in trustworthiness scoring, offering a viable solution for deploying reliable generative AI in cost-sensitive or low-quality scenarios.