GLM 4.5 Air is the efficiency-focused variant of the GLM-4.5 series, with 106 billion total parameters and only 12 billion active per forward pass through MoE routing. Designed to run on consumer-class GPUs and quantizable for broader hardware, it reports a benchmark score of 59.8, leading models in its parameter tier while keeping compute requirements modest. The model keeps the hybrid reasoning design of its larger sibling, switching between a thinking mode for complex tasks and a non-thinking mode for immediate responses. Its 128K context window and strong tool-calling results make it a fit for resource-constrained agentic systems where speed and cost matter alongside capability. Training spans many languages with strong Chinese and English fluency, and it ships under an MIT license for commercial use and further development. GLM 4.5 Air is aimed at agent applications that need a balance of reasoning depth and inference efficiency, including local deployment and cost-sensitive production systems where a smaller active parameter count reduces latency.
GLM 4.5 Air runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance β full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Input | Output |
|---|---|---|---|---|---|
| US | Zero data retention | No | $0.13 | $0.85 |
GLM 4.5 Air runs on a single route through the qynio gateway today, so its availability is that provider's availability.
Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. .
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 4.5 Air 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; wallets; deposit available.
Independent benchmark scores β composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call GLM 4.5 Air 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: "novita/zai-org/glm-4.5-air",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
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