Released 14 days after GLM 4.5 · All Z.ai releases
GLM 4.5V is Zhipu's multimodal model built on the GLM-4.5-Air architecture, pairing 106 billion total parameters (12 billion active) with native vision understanding for broad visual reasoning. Released August 2025, it reports state-of-the-art results across roughly 41 to 42 public multimodal benchmarks, covering image question answering, video understanding, document parsing, and GUI automation. The model's 65K multimodal context window and 3D-RoPE vision encoder let it process high-resolution images, extreme aspect ratios, video, and text-heavy documents together, using 3D convolutions for efficient video handling. Native multimodal function calling allows images and screenshots to be passed directly as tool parameters, simplifying agentic integration, and a hybrid thinking mode trades reasoning depth against latency across single-image and multi-image tasks. With English and Chinese support and an MIT license, GLM 4.5V suits front-end web coding, document intelligence, accessibility systems, and multimodal agents, keeping the MoE efficiency of GLM-4.5-Air for vision plus tool-driven reasoning at modest cost.
GLM 4.5V runs on 1 route 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 |
|---|---|---|---|---|---|
| US | Zero data retention | No | $0.60 | $1.80 |
GLM 4.5V runs on a single route through the Opper 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. Set up a fallback chain.
Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider Opper monitors.
Each route hosting GLM 4.5V has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.
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 4.5V 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: "novita/zai-org/glm-4.5v",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
Side-by-side on privacy, EU hosting, pricing, and benchmarks.
