GLM-5: From Vibe Coding to Agentic Engineering

Benchmark Model Rank Results
agents-on-benchGLM-5#1Accuracy: 89.7
code-generation-on-humanevalGLM 5 Thinking#6Pass@1: 97.0
agents-on-mcpatlas-public-500-tasksGLM-5#8Accuracy: 67.8
code-generation-on-swe-bench-verifiedGLM-5 (OpenHands)#15Accuracy: 77.8
code-generation-on-swe-bench-multilingualGLM-5 (OpenHands)#16Accuracy: 73.3
deep-research-agents-on-browsecompGLM-5 (w/ context manage)#20Accuracy: 75.9
multiple-choice-question-answering-mcqa-on-gpqa-diamondGLM-5#29Accuracy: 86.0