GLM-5.1: Towards Long-Horizon Tasks
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, an...
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Summary
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 Attention for long-context efficiency.
It outperforms GLM-4.7 on reasoning, coding, and agentic benchmarks like Vending Bench 2 ($4,432 balance) and leads open-source models, nearing Claude Opus 4.5. The model is open-sourced under MIT on Hugging Face and ModelScope, supports local deployment, and integrates with Z.ai for document generation and agent modes.
