Zhipu AI: GLM-4.6V

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to zhipuai/glm-4.6v.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "zhipuai/glm-4.6v"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

GLM-4.6V API Pricing

Benchmarks

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Artificial Analysis measurement · Non-reasoning

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

GLM-4.6V Compare models

Model specifications

Input

text, image, video

Output

text

Context window

128,000

Maximum output

32,768

Release date

2025-12-08

Attachments

Yes

Reasoning

Yes

Tool calling

Yes

Temperature setting

Yes

Open weights

Yes

Frequently asked questions

Related models

GLM-4.5VZhipu AIInputUSD 0.2192 / 1M tokens · Base context tier (boundary 32000 tokens)OutputUSD 0.8768 / 1M tokens · Base context tier (boundary 32000 tokens)View model