Z.aiZ.ai·text

GLM 5.2

CodeReasoningWeb searchFunction calling
Advertised as glm-5-2glm-5.2GLM5.2z-ai/glm-5.2zai-org-glm-5-2
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
💰 Best price on AntSeed
$0.017 / $0.020
per 1M · cheapest in / out
📏 Context
1M tokens
🐜 Sellers
24
advertising on AntSeed
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 large language…

Explore 17 more models by Z.ai
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.

View source on GitHub ↗View model card on HuggingFace ↗

This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.

Usage on AntSeed
Tokens served
4.12B
input + output
Requests
64,143
settled calls
Buyers
57
distinct, on this model
Sellers used
30
of 24 advertising
Settled
$751.37
gross USDC, this model
Sellers serving GLM 5.2 (24)compare on the network explorer →
SellerReputationRoutingInput $/MCached $/MOutput $/MCategoriesAPI

"Best price" and the seller table are live AntSeed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = on-chain trust (0-100). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on AntSeed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.