GLM-5: From Vibe Coding to Agentic Engineering
GLM-5 is a 744B-parameter MoE model (40B active) from Zhipu AI, scaled up from GLM-4.5's 355B with 28.5T pre-training tokens and DeepSeek Sparse Atten...
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Summary
GLM-5.1 is a model with enhanced coding capabilities that achieves state-of-the-art 58.4% on SWE-Bench Pro, outperforming GLM-5, GPT-5.4, Opus 4.6, and Gemini 3.1 Pro.
It sustains performance over long horizons, optimizing a vector database to 21.5k QPS across 600 iterations, delivering 3.6× speedup on KernelBench Level 3 after 1,000+ turns, and building a full Linux-style desktop web app over 8 hours. Unlike predecessors, it iterates by analyzing results, revising strategies, and handling ambiguous tasks without plateauing early.
