Head to head: GLM 5.2 vs. OpenAI: GPT-5.6 Sol (runtimewire.com)

In a recent showdown between OpenAI's GPT-5.6 Sol and GLM 5.2, the results demonstrated a clear advantage for OpenAI, with Sol scoring 113.0 compared to GLM's 93.5. The competition took into account a variety of tasks including coding, SQL queries, and reasoning, where Sol excelled by adhering closely to output formatting requirements and providing accurate responses. Key to Sol's victory was its disciplined approach, consistently returning exact JSON objects, avoiding unnecessary formatting, and producing cleaner outputs—a critical factor in real-world applications where compliance matters. While GLM 5.2 showed potential, particularly in language localization, it faltered on tasks requiring high levels of correctness, such as SQL query logic, where it delivered incorrect outputs. Additionally, SOL's performance on reasoning tasks highlighted its ability to provide complete and structurally sound answers. The results underscore a significant implication for the AI/ML community: the importance of not just accuracy, but also the meticulous execution of instructions, which will influence the design and training of future models in production scenarios. This evaluation sheds light on the critical qualities that differentiate leading AI systems in practical use.