Released 70 days after GLM 5.1 · All Z.ai releases
GLM-5.2 is Z.ai's flagship GLM-5 series model, a 744-billion-parameter mixture-of-experts system with 40 billion active parameters, built for agentic engineering and long-horizon coding, with open weights published on Hugging Face. Its standout capability is a 1M-token context window, a roughly fivefold jump over the GLM-5.1 generation's 200K, letting it reason across entire repositories, long plan-then-execute traces, and book-length inputs in a single pass. The model introduces IndexShare, a sparse-attention design that reuses one indexer across every four attention layers, which Z.ai reports cuts per-token compute by 2.9 times at full 1M context while preserving long-range recall. Selectable thinking-effort levels, High and Max, let developers trade reasoning depth against latency, and Z.ai's own benchmarks put it at 62.1 on SWE-bench Pro, up from 58.4 for GLM-5.1. Released under an MIT license, GLM-5.2 suits developers building coding agents, repository-scale tools, and reasoning-intensive applications who want frontier capability with downloadable, self-hostable weights.
GLM-5.2 runs on 16 different routes through the Opper gateway. Compare residency, ZDR, and training posture at a glance — full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Input | Output |
|---|---|---|---|---|---|
| Multi | Not by default | No | $1.19 | $4.17 | |
| EU | Zero data retention | No | $1.63 | $5.11 | |
| Multi | Not by default | No | $1.40 | $4.40 | |
| US | Zero data retention | No | $0.75 | $2.40 | |
| US | Not by default | No | $0.70 | $2.20 | |
| EU | Zero data retention | No | $1.45 | $5.81 | |
| Multi | Zero data retention | No | $1.40 | $4.40 | |
| EU | Zero data retention | No | $0.75 | $2.90 | |
| EU | Zero data retention | No | $1.16 | $4.65 | |
| US | Not by default | No | $1.10 | $4.10 | |
| EU | Not by default | No | $1.40 | $4.40 | |
| US | Zero data retention | No | $1.40 | $4.40 | |
| EU | Zero data retention | No | $2.32 | $6.04 | |
| EU | Zero data retention | No | $1.20 | $4.20 | |
| EU | Zero data retention | No | $1.50 | $4.50 | |
| US | Zero data retention | No | $1.26 | $3.96 |
GLM-5.2 runs on 6 independently monitored routes through the Opper gateway. A direct integration leaves you on one of them, the gateway serves whichever is healthy.
Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. 10 further routes for this model are not on the board yet and are not counted above. See uptime for every provider Opper monitors.
Each route hosting GLM-5.2 has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.
Zero data retention is not on by default — abuse monitoring. No training on customer data. GLOBAL; SCCs; DPA available.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. EU; DPA available.
Zero data retention is not on by default — abuse monitoring, 180-day retention. No training on customer data. GLOBAL; SCCs; DPA available.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. US; unknown; DPA available.
Zero data retention is not on by default — a moderation hold applies. No training on customer data. US; dpf sccs; DPA available.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. EU; DPA available.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. GLOBAL; SCCs; DPA available.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. EU; DPA available.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. EU; DPA available.
Zero data retention is not on by default — abuse monitoring, 30-day retention. No training on customer data. US; SCCs; DPA available.
Zero data retention is not on by default — abuse monitoring. No training on customer data. EU; DPA available.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. US; SCCs; DPA available.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. EU; DPA available.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. EEA; SCCs; DPA available.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. EU; DPA available.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. US; SCCs; DPA available.
Independent benchmark scores — composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call GLM-5.2 through the Opper gateway with one API key. Let your coding agent set it up, or call it directly — Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up Opper for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.OPPER_API_KEY,baseURL: "https://api.opper.ai/v3/compat",});const completion = await client.chat.completions.create({model: "alibaba:global/glm-5.2",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
Side-by-side on privacy, EU hosting, pricing, and benchmarks.
