Z.AI GLM 4.5 on W&B Inference
Price per 1M tokens
$0.55 (input)
$2.00 (output)
Parameters
32B (Active)
355B (Total)
Context window
131K
Release date
July 2025
GLM 4.5 inference details
GLM-4.5 is purpose built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and delivers significantly enhanced capabilities in reasoning, code generation, and agent alignment. It supports a hybrid inference mode with two options, a “thinking mode” designed for complex reasoning and tool use, and a “non-thinking mode” optimized for instant responses. Users can control the reasoning behavior with the reasoning enabled boolean.
Created by: Z.AI
License: mit
🤗 model card: GLM-4.5
import openai
import weave
# Weave autopatches OpenAI to log LLM calls to W&B
weave.init("<team>/<project>")
client = openai.OpenAI(
# The custom base URL points to W&B Inference
base_url='https://api.inference.wandb.ai/v1',
# Get your API key from https://wandb.ai/authorize
# Consider setting it in the environment as OPENAI_API_KEY instead for safety
api_key="<your-apikey>",
# Team and project are required for usage tracking
project="<team>/<project>",
)
response = client.chat.completions.create(
model="zai-org/GLM-4.5",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Tell me a joke."}
],
)
print(response.choices[0].message.content)
GLM 4.5 resources
A primer on building successful AI agents
W&B Inference powered by CoreWeave guide
