GLM-5.1

GLM-5.1 is a next-generation large language model developed by Z.ai for advanced coding, reasoning, and long-horizon agentic engineering tasks. Built as the successor to GLM-5, the model significantly improves performance in software engineering benchmarks, repository generation, and real-world terminal-based workflows. GLM-5.1 is designed to remain effective over extended problem-solving sessions, allowing it to iteratively refine strategies, analyze failures, and sustain productivity across hundreds of reasoning cycles and tool calls. The model leverages large-scale pretraining, reinforcement learning infrastructure, and sparse attention mechanisms to improve efficiency while maintaining strong long-context understanding. It supports deployment through frameworks such as vLLM, SGLang, xLLM, and KTransformers, enabling scalable local inference for enterprise and research use cases.

Features

Delivers state-of-the-art performance on coding and agentic engineering benchmarks like SWE-Bench Pro and Terminal-Bench 2.0.
Designed for long-horizon reasoning with sustained optimization across extended multi-step workflows.
Uses sparse attention and reinforcement learning infrastructure to improve efficiency and scalability.
Supports local deployment through frameworks including vLLM, SGLang, xLLM, and KTransformers.
Handles complex coding, repository generation, and terminal-based problem-solving tasks with advanced tool usage capabilities.
Available in multiple precision formats, including BF16 and FP8, for flexible deployment and performance optimization.