z-ai/glm-4.5v
65,536 context · $0.60/M input tokens · $1.80/M output tokens
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,...
Pricing
Pay-per-use
No upfront costs, pay only for what you use
Try the model
API Usage
Use the following code examples to integrate with our API:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="z-ai/glm-4.5v",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)Model Introduction
Z-Ai glm-4.5v
GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameter
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
Why It Looks Great
- Large Language Model architecture for efficient processing
- 65536 context window for long document handling
- Competitive pricing at $0.7/$1.10 per million tokens
Key Features
- Context Window: 65536 tokens
- Max Output: 16384 tokens
- Vision: Supported
- Function Calling: Supported
Specifications
| Specification | Value |
|---|---|
| Provider | Z-Ai |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 65536 tokens |
| Max Output | 16384 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
Pricing
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.7 |
| Output | $1.10 |
How to Use
- Write your prompt — describe the task, provide context, and specify desired output format.
- Submit — the model processes your request and returns the response.
API Integration
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: z-ai/glm-4.5v
API Usage
Python SDK
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="z-ai/glm-4.5v",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)cURL
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "z-ai/glm-4.5v",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: z-ai/glm-4.5v
- Provider: Z-Ai
Info
Supported Functionality
API Access Guide
GLM 4.5v API
z-ai/glm-4.5v
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,...
Input
$0.6 /M
Output
$1.8 /M
Context
66K
Max Output
16K
Vision
Supported
Tool Use
Supported
Try GLM 4.5v on WaveSpeedAI
Access GLM 4.5v through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Frequently Asked Questions about GLM 4.5v
How much does GLM 4.5v cost via the API?+
Pricing on WaveSpeedAI: $0.60 per million input tokens and $1.80 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.
What is the context window of GLM 4.5v?+
GLM 4.5v supports up to 66K tokens of context with up to 16K tokens of output per request.
Is GLM 4.5v OpenAI-compatible?+
Yes. WaveSpeedAI exposes GLM 4.5v through an OpenAI-compatible endpoint at https://llm.wavespeed.ai/v1. Point the official OpenAI SDK at this base URL with your WaveSpeedAI API key — no other code changes required.
How do I get started with GLM 4.5v?+
Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with model id set to the value shown above. New accounts receive free credits to evaluate GLM 4.5v before paying per token.