# GLM Turbo > GLM Turbo, a family of models by Z.ai, listed from OpenRouter. Indexed, not reviewed: facts and our own checks, no score or ranking. GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios.… - Canonical: https://www.anchorterminal.com/tools/glm-turbo - Markdown: https://www.anchorterminal.com/tools/glm-turbo.md (~450 tokens) - Slim: https://www.anchorterminal.com/tools/glm-turbo.min.md (~380 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/tools/glm-turbo.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-04 # GLM Turbo > Indexed, not reviewed: facts from OpenRouter and our own checks. No score, grade or rank, and not in the rankings until the panel reviews it. How the index works: https://www.anchorterminal.com/indexed/ - Kind: model family, by Z.ai - Category: Model APIs & inference (https://www.anchorterminal.com/categories/inference.md) - Listed because: OpenRouter lists it, with prices from the providers that serve it. - What OpenRouter says: GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows... ## Models (1) | Model | OpenRouter id | Released | Context | Input $/1M | Output $/1M | Supports | | --- | --- | --- | --- | --- | --- | --- | | GLM 5 Turbo | `z-ai/glm-5-turbo` | 2026-03 | 202k | $1.20 | $4 | tools, reasoning, caching | Prices and limits as OpenRouter lists them; a provider's own price can differ. - JSON: https://www.anchorterminal.com/api/v1/tools/glm-turbo.json - Being indexed says nothing about quality, and nobody can pay for it. Ask for a review: https://www.anchorterminal.com/builders/#claiming