Released 50 days after GLM 4.5V Β· All Z.ai releases
GLM 4.6 is Zhipu's iterative advance over GLM-4.5, with 357 billion total parameters (32 billion active) in a Mixture-of-Experts configuration tuned for extended reasoning and agent workflows. Its 200K context window, with up to 128K output, supports long documents, multi-turn technical conversations, and complex tool-driven agentic systems. Released September 2025, GLM 4.6 improves coding performance, function calling, and search-based agent integration over GLM-4.5, making it well suited to retrieval-augmented generation, support automation, and information synthesis. It keeps the bilingual training and hybrid reasoning design of the earlier release, balancing depth and speed. Available as open weights under an MIT license, GLM 4.6 targets developers building production agents that need deeper context for sophisticated multi-step reasoning, tool coordination, and long-horizon planning, including code review automation, document-heavy question answering, and multi-document reasoning.
GLM 4.6 runs on 2 different routes through the qynio gateway. Compare residency, zero retention, and training posture at a glance β full data-handling detail per route below.
GLM 4.6 runs on 2 independently monitored routes through the qynio 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. See uptime for every provider qynio monitors.
Each route hosting GLM 4.6 has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.
Zero data retention is on by default on Pay-as-you-go β no action required. No training on customer data. US; unknown; deposit available.
Zero data retention is on by default on Pay-as-you-go β no action required. No training on customer data. US; wallets; deposit available.
Independent benchmark scores β composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call GLM 4.6 through the qynio gateway with one API key. Let your coding agent set it up, or call it directly β qynio 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 qynio for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.QYN_API_KEY,baseURL: "https://api.qyn.io/v3/compat",});const completion = await client.chat.completions.create({model: "deepinfra/zai-org/GLM-4.6",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
Side-by-side on privacy, crypto rails, pricing, and benchmarks.
