GLM-4.5 is the latest flagship foundation model from Z.AI, specifically designed for agent-based applications. It utilizes a Mixture-of-Experts (MoE) architecture and supports context lengths of up to 128k tokens. GLM-4.5 offers significantly improved capabilities in reasoning, code generation, and agent alignment. It features a hybrid inference mode with two options: a "thinking mode," tailored for complex reasoning and tool usage, and a "non-thinking mode," optimized for instant responses.
Pricing
Pay-as-you-go rates for this model. More details can be found here.
Input Tokens (1M)
$0.35
Output Tokens (1M)
$1.55
Capabilities
Input Modalities
Output Modalities
Supported Parameters
Available parameters for API requests
Usage Analytics
Token usage across the last 30 active days
Uptime
Reliability over the last 7 days
Throughput
Time-To-First-Token (TTFT)
Code Example
Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.
Basic request example. Ensure API key permissions. For more details, see our documentation.
from openai import OpenAI
client = OpenAI(
base_url="https://api.naga.ac/v1",
api_key="YOUR_API_KEY",
)
resp = client.chat.completions.create(
model="glm-4.5",
messages=[
{{"role": "user", "content": "What's 2+2?"}}
],
temperature=0.2,
)
print(resp.choices[0].message.content)