z-ai/glm-4.6
204,800 context · $0.39/M input tokens · $1.90/M output tokens
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...
Pay-per-use
No upfront costs, pay only for what you use
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-4.6",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)z-ai glm-4.6
| Specification | Value |
|---|---|
| Provider | Z-Ai |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 202752 tokens |
| Max Output | 65536 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.4 |
| Output | $1.6 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: z-ai/glm-4.6
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-4.6",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "z-ai/glm-4.6",
"messages": [{"role": "user", "content": "Hello!"}]
}'
z-ai/glm-4.6
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...
Input
$0.39 /M
Output
$1.9 /M
Context
205K
Max Output
205K
Tool Use
Supported
Access GLM 4.6 through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Pricing on WaveSpeedAI: $0.39 per million input tokens and $1.90 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.
GLM 4.6 supports up to 205K tokens of context with up to 205K tokens of output per request.
Yes. WaveSpeedAI exposes GLM 4.6 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.
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 4.6 before paying per token.