GLM-5 Blog

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.

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.

GLM-5 vs GLM-4.7: what changed, what matters, and should you upgrade?

GLM-5, released February 11, 2026 by Zhipu AI (Z.ai), represents a large architectural leap from GLM-4.7: bigger MoE scale (≈744B vs ~355B total params), higher active parameter capacity, lower measured hallucination, and clear gains on agentic and coding benchmarks — at a cost in inference complexity and (sometimes) latency.

Mar 19, 2026

Qwen 3.5 vs Minimax M2.5 vs GLM 5: Which is Better in 2026

Qwen 3.5 targets large-scale, low-cost agentic multimodal workloads with a sparse Mixture-of-Experts (MoE) design and massive activated capacity; Minimax M2.5 emphasizes cost-efficient, realtime agent throughput at low running costs; GLM-5 focuses on heavy reasoning, long-context agents and engineering workflows via a very large MoE-style architecture optimized for token efficiency. The “best” depends on whether you prioritize raw reasoning/coding quality, agent throughput and cost, or open-source flexibility and long-context engineering workflows.

GLM 5.2: Full Guide, Benchmarks, Pricing & Access It with CometAPI

How to Use the GLM-5.2 API: Complete 2026 Guide for Developers

What is GLM-5.2? Everything You Need to Know

GLM-5.1 + Claude Code Guide (2026): Setup, Benchmarks, Cost Comparison, and the Best API Strategy for Developers

How to Use GLM-5.1 API

GLM-5-Turbo Explained: agent-first base model for “Lobster” (OpenClaw) workflows(2026 Guide)

GLM-5 vs GLM-4.7: what changed, what matters, and should you upgrade?

Qwen 3.5 vs Minimax M2.5 vs GLM 5: Which is Better in 2026