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Z.AI: GLM 4.5V

by Z.AI

GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding, image Q&A, OCR, and document parsing, with strong gains in front-end web coding, grounding, and spatial reasoning. It offers a hybrid inference mode: a "thinking mode" for deep reasoning and a "non-thinking mode" for fast responses. Reasoning behavior can be toggled via the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config)

Avg Score

80.8%

13 answers

Avg Latency

51.3s

9 runs

Pricing

$0.60

input

/

$1.80

output

per 1M tokens

Context

66K

tokens

Alternatives

Models with similar or better quality but different tradeoffs

No alternatives found

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Other Models from Z.AI

Compare performance with other models from the same creator

ModelScoreLatencyCost/1M
Z.AI: GLM 4.696.9%36.3s$0.93
Z.AI: GLM 4.592.1%48.4s$0.95
Z.AI: GLM 4.691.9%41.7s$1.10
Z.AI: GLM 4.5 Air86.5%35.6s$0.14
Z.AI: GLM 4.5 Air85.6%90.8sFree
Z.AI: GLM 4.782.7%56.9s$0.95
Z.AI: GLM 4.6V71.4%57.3s$0.60
Z.AI: GLM 4 32B 67.7%18.7s$0.10
Z.AI: GLM 4.7 Flash54.2%175.4s$0.23

Benchmark Performance

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Price vs Performance

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Current model (baseline)
Other models (relative score)
Y-axis shows score difference from shared benchmarks. X-axis uses log scale.

Score Over Time

Performance trends across all benchmark runs

Benchmark Activity

Number of benchmark runs over time

Quickstart

Get started with this model using OpenRouter

View on OpenRouter
import { OpenRouter } from "@openrouter/sdk";

const openrouter = new OpenRouter({
  apiKey: "<OPENROUTER_API_KEY>"
});

const completion = await openrouter.chat.completions.create({
  model: "z-ai/glm-4.5v",
  messages: [
    {
      role: "user",
      content: "Hello!"
    }
  ]
});

console.log(completion.choices[0].message.content);

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