GLM-5.2 benchmark claims put it near top coding models
GLM-5.2 is presented as scoring close to GPT-5.5, , and Gemini 3.1 Pro on several coding and . The highlighted scores are 62.1 on SWE-bench Pro, 81.0 on , 77.0 on MCP-Atlas, and 54.7 on Humanity’s Last Exam with tools. The model is also described as an open model with a , which means it can handle very long inputs.
After DeepSeek R1, GLM-5.2 is framed as another sign that open models may be moving closer to closed frontier APIs. The strong scores do not automatically mean the product experience will feel good. GLM-5.2 may spend a long time reasoning before it gives the final answer, and if that reasoning is hidden in the interface, the product can feel slow even while the model is working.
Its listed price may look far lower than Opus or GPT-level models, but heavy use of could shrink the real cost advantage.
Key points
- GLM-5.2 is claimed to be near GPT-5.5, , and Gemini 3.1 Pro on coding and .
- The cited scores include SWE-bench Pro 62.1, 81.0, MCP-Atlas 77.0, and Humanity’s Last Exam with tools 54.7.
- GLM-5.2 is described as an open model with a .
- Long reasoning time could make apps feel slow if the interface hides what the model is doing.
- Lower listed prices may not fully translate into lower real costs if are high.