Moduck

Zhipu AI: GLM-4.6V

GLM vision model for visual reasoning, documents, and multimodal agents

Model lab
Zhipu AI
Model family
glm

Model resources

Modalitiestext, image, video → text
Context window128,000
Maximum output32,768
Input · Base context tier (boundary 32000 tokens)USD 0.1096 / 1M tokens
Output · Base context tier (boundary 32000 tokens)USD 0.3288 / 1M tokens

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

TypePrice information
Input · Base context tier (boundary 32000 tokens)USD 0.1096 / 1M tokens
Output · Base context tier (boundary 32000 tokens)USD 0.3288 / 1M tokens
Cached input · Base context tier (boundary 32000 tokens)USD 0.02192 / 1M tokens

Benchmarks

Non-reasoning

Intelligence Index · v4.38.4
Coding Index—
Agentic Index—

Performance

Output speed75.34 tokens/s
Time to first token3.65 s
Time to first answer token—
End-to-end response time—
Measurement variantOutput speedTime to first tokenTime to first answer tokenEnd-to-end response time
Non-reasoning75.34 tokens/s3.65 s——

Performance trends

Throughput75.34 tok/sCurrent
Time to first token3.65 sCurrent
End-to-end latency7.0 sCurrent
Throughput
Current75.34 tok/s
Window average75.2 tok/s
Time to first token
Current3.65 s
Window average3.8 s
End-to-end latency
Current7.0 s
Window average7.5 s
Tail latency (P99)
Current15.0 s
Window average16.7 s
Prompt cache hit rate
Current31.2%
Window average22.7%
Error rate
Current0.0%
Window average0.1%

Availability

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

GLM-4.6V Compare models

ModelInput priceOutput priceContext windowCapabilities
GLM-4.6VThis pageUSD 0.1096 / 1M tokens · Base context tier (boundary 32000 tokens)USD 0.3288 / 1M tokens · Base context tier (boundary 32000 tokens)128,000Text output · Reasoning · Tool calling
GLM-4.5VUSD 0.2192 / 1M tokens · Base context tier (boundary 32000 tokens)USD 0.8768 / 1M tokens · Base context tier (boundary 32000 tokens)64,000Text output · Reasoning · Tool calling
GLM-5.3USD 0.0632 / 1M tokens · Quantization fp4USD 1.12 / 1M tokens · Quantization fp41,000,000Text output · Reasoning · Tool calling
GLM-5.2USD 0.24 / 1M tokensUSD 0.84 / 1M tokens1,000,000Text output · Reasoning · Tool calling
GLM-5.1USD 0.36 / 1M tokensUSD 1.72 / 1M tokens200,000Text output · Reasoning · Tool calling

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

What is GLM-4.6V for?

GLM vision model for visual reasoning, documents, and multimodal agents

What inputs and outputs does GLM-4.6V support?

Recorded inputs: text, images, video; outputs: text.

How is GLM-4.6V priced?

The pricing table shows the current recorded Moduck price. For example: Input · Base context tier (boundary 32000 tokens) USD 0.1096 / 1M tokens; Output · Base context tier (boundary 32000 tokens) USD 0.3288 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for GLM-4.6V?

Current model records list Context window 128,000 tokens; Maximum output 32,768 tokens.

What model parameter does the Quickstart use?

The example uses zhipuai/glm-4.6v. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.