GLM 4.5V

by Z.ai

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.

Key info

Input
Output
Features
Context window
66K
Max output
16K
Input price
$0.60 /1M
Output price
$1.80 /1M
  • US residency available
  • Zero data retention via Enterprise
  • No training by default
  • GDPR DPA available

Available routes

GLM 4.5V runs on 1 route through the Opper gateway. Compare residency, ZDR, and training posture at a glance β€” full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutput
USEnterpriseNo$0.60$1.80

Uptime and availability

GLM 4.5V runs on a single route through the Opper gateway today, so its availability is that provider's availability.

100%route uptime, last 30 days
Single route, no failover target within this model.

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.

Data handling per route

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.

Novita β€” United StatesπŸ‡ΊπŸ‡Έ

Zero data retention is available via Opper Enterprise contract. No training on customer data. US; SCCs; DPA available.

Zero data retention
Available via Opper Enterprise contract.
Training
No training on customer data.
Logging
Abuse monitoring
Third-party access
None disclosed
GDPR DPA
DPA available
Transfer mechanism
SCCs

Benchmarks

Independent benchmark scores β€” composite indices for reasoning, coding, and math, plus individual eval scores where available.

Global rank#449 of 583 LLMs
TierEfficient
Output speed0 tok/s
First token0.00s
Intelligence Index6.8
Math Index15.3
Reasoning & knowledge
MMLU-Pro
75%
GPQA Diamond
57%
Humanity's Last Exam
4%
Long-context reasoning
0%
Coding
LiveCodeBench
35%
SciCode
19%
Agentic & tool use
Terminal-Bench Hard
7%
τ²-Bench Telecom
20%
Math & instruction following
AIME 2025
15%
IFBench
29%

Get started

Call GLM 4.5V through the Opper gateway with one API key. Let your coding agent set it up, or call it directly β€” Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up Opper for you.

Or call it directly

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);

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Side-by-side on privacy, EU hosting, pricing, and benchmarks.

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