Z.aiZ.ai·💬 Text Generation·New

GLM 5.2

ReasoningFunction CallingWeb Searchfp8private
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Quick reference
GLM 5.2 — TLDR
  • 🎯 Z.ai's newest flagship in the GLM line
  • 📏 200K-token context window
  • 🧠 Enhanced reasoning and instruction following
  • 🔧 Function calling plus built-in web search
  • 📜 Open-source under the permissive MIT License
  • 🌍 Multilingual with fast inference
💰 Pricing
$1.75 / $5.50
per 1M · input / output
📏 Context
1M tokens
📅 On Venice since
Jun 16, 2026
1 day ago
Provider

Z.ai, formally Knowledge Atlas Technology Joint Stock Co., Ltd., is a Chinese technology company specializing in artificial intelligence. Previously known internationally as Zhipu AI, the company rebranded to Z.ai in 2025. Its core focus is the GLM family of…

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12 models on Venice
11 text · 1 image
Since Apr 1, 2024

About this model

GLM 5.2 is Z.ai's next-generation large language model and the newest entry in the company's flagship GLM line, released in June 2026. Built by the Chinese AI firm formerly known as Zhipu AI, it advances the series with significantly stronger reasoning, sharper instruction following, and broad multilingual support, all served under the permissive MIT License that Z.ai has applied to GLM releases since mid-2025.

Within the lineup, GLM 5.2 sits at the top of the core GLM family, succeeding GLM 5.1 (April 2026) and the earlier GLM 5 and GLM 4.7 generations. It pairs a roomy 200K-token context window with fp8 quantization for efficient, fast inference, and ships with reasoning, function-calling, and web-search capabilities baked in.

That combination makes GLM 5.2 well suited to demanding work: long-document analysis, multi-step reasoning tasks, tool-augmented agents, and multilingual applications where an open, MIT-licensed model is preferred. Users wanting the most capable current GLM should reach for this release, while older siblings remain available for those balancing cost or speed.

This About section is AI-generated from public sources (Claude Opus 4.8), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.

Research & Papers

2 reference papers linked from the HuggingFace model card.

Data sources: Venice API · HuggingFace · Wikipedia · arXiv — enrichment updated 12h ago