The GSMA Open-Telco LLM Benchmarks 2.0 provides a comprehensive evaluation framework for assessing large language models (LLMs) in the telecommunications industry, addressing a previously unquantified gap in their performance on telecom-specific tasks. The benchmarks, developed collaboratively with contributions from mobile network operators globally, test models on tasks such as standards interpretation, network troubleshooting, and configuration generation. Initial results indicate that while general-purpose LLMs like GPT-5 demonstrate strong reasoning and comprehension abilities, they often fall short in telecom-native scenarios that require deep domain understanding and structured reasoning. Domain-specific fine-tuning has shown potential in enhancing model performance on specialized tasks, yet challenges remain in structured intent generation, highlighting a critical need for hybrid architectures combining the adaptability of foundation models with domain-specific precision. The initiative continues to evolve with expanded benchmarks and collaborative contributions, aiming to integrate AI seamlessly into telecom operations while balancing accuracy with efficiency for sustainable deployment.