GLM-5 Blog
GLM-5.3 vs GLM-5.2: Benchmark and testing tell us what has changed
GLM-5.3 vs GLM-5.2: Same base model, pure post-training delivers ~50% coding leap (Terminal-Bench 3.0 4.6→28.3) & emergent CyberGym 84.5% SOTA.
GLM-5.3 Explained: Features, Benchmarks, Pricing & Access
What is GLM-5.3? Explore Z.ai's latest AI coding model, including features, benchmarks, pricing, API access, cybersecurity capabilities
GLM 5.2: Full Guide, Benchmarks, Pricing & Access It with CometAPI
GLM 5.2: GLM-5.2 is Z.ai's open-weight flagship LLM for long-horizon coding and agentic software. Available on CometAPI — OpenAI-compatible, single key.
How to Use the GLM-5.2 API: Complete 2026 Guide for Developers
Step-by-step GLM-5.2 API tutorial: Get started fast, optimize reasoning effort, build agents, and cut costs vs GPT/Claude.
What is GLM-5.2? Everything You Need to Know
GLM-5.2: GLM-5.2 is Zhipu AI (Z.ai)'s latest flagship Mixture-of-Experts (MoE) model, released. Try CometAPI — single key, OpenAI-compatible.
GLM-5.1 + Claude Code Guide (2026): Setup, Benchmarks, Cost Comparison, and the Best API Strategy for Developers
GLM-5.1 can be used with Claude Code by connecting it throughan OpenAl-compatible or Anthropic-compatible API bridge, allowing developers toleverage Claude Code's age workflow while using GLM-5.1's lower-cost, high-performarnce coding model. This setup gives teams access to long-horizon autonomous co.ding, stronger terminal task execution, and significantly reduced API costs compared with ClaudeOpus, while preserving the Claude Code developer experience.
How to Use GLM-5.1 API
GLM-5.1 is Z.ai’s flagship open-source model (released April 7, 2026) optimized for long-horizon agentic tasks like autonomous coding and multi-step reasoning. To use the GLM-5.1 API, use CometAPI for cheaper unified access, get your API key
GLM-5-Turbo Explained: agent-first base model for “Lobster” (OpenClaw) workflows(2026 Guide)
GLM-5-Turbo is a next-generation large language model released by Zhipu AI in March 2026, optimized specifically for “lobster” agent environments (OpenClaw ecosystem). It is a high-speed, agent-focused variant of GLM-5 designed for long-chain task execution, tool calling, and enterprise-grade AI automation. It features a ~200K token context window, Mixture-of-Experts architecture, and improved stability in multi-step agent workflows.