Z.aiZ.ai·💬 Text Generation·VS Pick

GLM 5.2

ReasoningFunction CallingWeb Searchfp8private
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Quick reference
GLM 5.2 — TLDR
  • 🎯 Z.ai's newest flagship GLM, current incumbent of the line
  • 📏 Massive 1M-token context window
  • 🧠 Near-Opus reasoning with fast inference
  • 🔧 Function calling and web search supported
  • 📜 Open-weight under permissive MIT license
  • 🌍 Strong multilingual and instruction-following ability
💰 Pricing
$1.40 / $4.40
per 1M · input / output
📏 Context
1M tokens
📅 On Venice since
Jun 16, 2026
22 days 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 latest large language model and the current head of the open-source GLM line, released in June 2026. It pushes the series' reasoning, instruction-following, and multilingual strengths further, pairing them with a one-million-token context window and fp8 quantization for fast inference across long documents and extended analysis. Z.ai — the Chinese AI company formerly known as Zhipu AI — has shipped the GLM family under the permissive MIT license since mid-2025, and GLM 5.2 continues that fully open-weight tradition.

Within the lineup, GLM 5.2 supersedes the earlier GLM 5.1 (April 2026) and GLM 5 (February 2026), and stands above the prior-generation GLM 4.7. It builds on the same core line rather than the lighter Turbo and Flash variants, positioning it as the reasoning-focused workhorse of the family.

With reasoning, tool calling, and web search built in, GLM 5.2 is best suited to agentic workflows, long-context retrieval and analysis, and multilingual tasks where capable reasoning at a lower cost than frontier closed models matters.

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 14h ago