GLM 4.5 Vision

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GLM 4.5 Vision

Q: What is the context length of GLM 4.5 Vision?

GLM 4.5 Vision has a 64,000 token context window. It supports up to 16,384 output tokens.

Q: How much does GLM 4.5 Vision cost?

On AIHubMix, GLM 4.5 Vision costs $0.274 per million input tokens and $0.822 per million output tokens.

Q: What modalities does GLM 4.5 Vision support?

GLM 4.5 Vision accepts text, image and video input. It returns text output.

Q: How do I call GLM 4.5 Vision via API?

GLM 4.5 Vision is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to glm-4.5v — no other code changes needed.

Q: Who created GLM 4.5 Vision?

GLM 4.5 Vision is developed by Z.AI. AIHubMix aggregates it alongside models from other providers behind one API and one bill.

glm-4.5vllms.txt

Z.AI

GLM-4.5V is a vision-language foundational model designed for multimodal agent applications. Based on a mixture-of-experts (MoE) architecture, it has 106 billion parameters and 12 billion active parameters. It delivers outstanding performance in video understanding, image question answering, OCR, and document parsing, and achieves significant improvements in front-end web encoding, basic reasoning, and spatial reasoning.

Pricing

Tier	Pricing	Cache Read
Tier	Pricing	Cache Read
Input<=32K	$0.274$1.096	-
32K<Input<=64K	$0.548$1.644	-

Input Modalities

Text
Vision
Video

Output Modalities

Text

Providers

Z.AI zai-glm-4.5v

Pricing$0.274$0.822

Pricing$0.548$1.644

Context64K

Max output16K

Latency8.4S

Throughput81.2TPS

Uptime

100.00% uptime 3 days ago

100.00% uptime 2 days ago

0.00% uptime yesterday

Performance for glm-4.5v

Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).

Uptime

Latency

Throughput

Try this model

Python

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="glm-4.5v",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is GLM 4.5 Vision?

What is the context length of GLM 4.5 Vision?

How much does GLM 4.5 Vision cost?

What modalities does GLM 4.5 Vision support?

How do I call GLM 4.5 Vision via API?

Who created GLM 4.5 Vision?

Compare GLM 4.5 Vision

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GLM 4.5 Vision

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Input Modalities

Output Modalities

Providers

Performance for glm-4.5v

Try this model

Frequently asked questions

What is GLM 4.5 Vision?

What is the context length of GLM 4.5 Vision?

How much does GLM 4.5 Vision cost?

What modalities does GLM 4.5 Vision support?

How do I call GLM 4.5 Vision via API?

Who created GLM 4.5 Vision?

Compare GLM 4.5 Vision

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GLM 4.5 Vision

Pricing

Input Modalities

Output Modalities

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Performance for glm-4.5v

Try this model

Frequently asked questions

What is GLM 4.5 Vision?

What is the context length of GLM 4.5 Vision?

How much does GLM 4.5 Vision cost?

What modalities does GLM 4.5 Vision support?

How do I call GLM 4.5 Vision via API?

Who created GLM 4.5 Vision?

Compare GLM 4.5 Vision

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