Speed
Output tokens / second
Custom pricing for production workloads
GLM 4.5V on AIMLAPI.
z-ai/glm-4.5vhttps://api.aimlapi.com/v1Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.
Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.
Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.
Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.
GLM-4.5V is documented as suited to webpage coding, where it can analyze webpage screenshots or screen recordings, understand layout and interaction logic, and generate usable webpage code.
It is also documented for grounding tasks, including precisely identifying and locating target objects for practical uses such as security checks, quality inspections, content reviews, and remote sensing monitoring.
Another documented use case is GUI agent work, where it can recognize and process screen images and support actions like clicking and sliding for operational tasks.
It is further documented for complex long document interpretation, including summarization, translation, chart extraction, and producing insights from lengthy documents.
See how GLM 4.5V compares in generation speed and latency. Data retrieved Nov 3, 2026.
Output tokens / second
Compare 12 models available on AI/ML API across 5 independent benchmarks.
Expert-written questions across academic subjects.
Graduate-level science questions written to resist web search.
Reasoning across long documents of about 100k tokens.
Following precise instructions about the shape of the answer.
Customer support agent tasks with tool calls.
| Usage | Price | Unit |
|---|---|---|
| Input | $0.6348 | 1M tokens |
| Output | $1.9 | 1M tokens |
| Cached input | $0.1164 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $0.6348 | $1.9 | |
| $0.15 | $0.5 | |
| $0.37 | $1.25 | |
| $1.4 | $4.4 | |
| $3.5 | $11 |
Give your agent the model details, code and documentation.
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "z-ai/glm-4.5v",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "z-ai/glm-4.5v",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "z-ai/glm-4.5v",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());GLM 4.5V has a 65,536 tokens context window and can return up to 16,384 tokens.
GLM 4.5V takes image, text as input and returns text.
Use z-ai/glm-4.5v as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
GLM 4.5V costs $0.6348 input and $1.9 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Yes, GLM 4.5V can stream responses as they are generated.
Yes, GLM 4.5V accepts image input alongside text.
GLM 4.5V was built by Zhipu AI.