NVIDIA NIM: GLM-5.2 (NVIDIA NIM)

import Everstack from "@everstack/node";const client = new Everstack({  apiKey: process.env.EVERSTACK_API_KEY!,  baseUrl: "https://{instance}.{region}.everstack.ai",});const completion = await client.chat.completions.create({  model: "@nvidia-nim/z-ai__glm-5.2",  messages: [{ role: "user", content: "Explain vector cache routing." }],});console.log(completion.choices[0]?.message?.content);

Endpoint

Base URL

https://integrate.api.nvidia.com/v1

Chat completions

https://integrate.api.nvidia.com/v1/chat/completions

Model

z-ai__glm-5.2

Auth env

NVIDIA_API_KEY

GLM-5.2 (NVIDIA NIM) FAQ

What is the context window of GLM-5.2 (NVIDIA NIM)?

GLM-5.2 (NVIDIA NIM) accepts up to 1M tokens of context and returns up to 131.1K output tokens on NVIDIA NIM.

Which providers offer GLM-5.2 (NVIDIA NIM)?

GLM-5.2 (NVIDIA NIM) is available from NVIDIA NIM, OpenRouter, Fireworks AI, Hugging Face, Together AI and Z.AI. Everstack can route between them with automatic fallback when one is unavailable.

What can GLM-5.2 (NVIDIA NIM) do?

GLM-5.2 (NVIDIA NIM) supports chat, function calling and reasoning. It accepts text input.

How do I call GLM-5.2 (NVIDIA NIM) through Everstack?

Point any OpenAI-compatible SDK at your Everstack gateway and set the model to @nvidia-nim/z-ai__glm-5.2. Everstack adds retries, provider fallback, caching, per-tenant budgets and OpenTelemetry traces for every request.

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