Which of the Six GLM-4 Models on Novita AI Suits You Best?

Aren’t you curious — why release six different models under the GLM-4 series? What’s the reason behind this lineup, and what makes each model unique? From general-purpose chatting to deep logical reasoning and real-time responsiveness, each model in the GLM-4 family is built for a specific scenario.

In this article, we’ll break down the differences, strengths, and use cases of all six GLM-4 models — so you can find the one that best fits your development needs.

For a limited time, new users can claim $10 in free credits to explore and build with GLM-4 series.

What is GLM-4 Series?

Item / Model	GLM-4-32B	GLM-Z1-32B	GLM-Z1-Rumination-32B	GLM-4-9B	GLM-Z1-9B
Parameters	32B	32B	32B	9B	9B
Context Length	32K	32K	32K	32K	32K
I/O Price (Novita AI)	$0.24 / $0.24	$0.24 / $0.24	$0.24 / $0.24	Free	Free

Language Support: Strong performance in Chinese and English; supports 26 languages

Multimodal: Text-to-text; supports visualization of generated HTML and SVG

Training: Pretrained on 15T high-quality data including synthetic reasoning datasets

Dialogue Optimization: Fine-tuned with human preference alignment (rejection sampling + RLHF)

Six GLM-4 Models’s Application Scenarios

GLM-4-32B-Base-0414

• Parameters: 32B
• Focus: General-purpose pretraining foundation
• Training: Trained on 15T high-quality tokens (including synthetic reasoning data) across diverse domains

GLM-4-32B-0414

• Parameters: 32B
• Focus: Instruction following and applied alignment
• Training: Fine-tuned from the base model using human preference alignment (rejection sampling + RLHF)

GLM-Z1-32B-0414

• Parameters: 32B
• Focus: Deep reasoning and complex problem-solving
• Training: Cold-start + extended reinforcement learning, with emphasis on math, code, and logic tasks

GLM-Z1-Rumination-32B-0414

• Parameters: 32B
• Focus: Long-context reasoning and domain adaptation
• Training: Optimized for scenarios such as healthcare and autonomous driving; supports multi-turn reflection

GLM-4-9B-0414

• Parameters: 9B
• Focus: High-concurrency and lightweight deployment
• Training: Optimized for high-frequency tasks like translation; agentic capabilities not enhanced

GLM-Z1-9B-0414

• Parameters: 9B
• Focus: Lightweight reasoning and real-time responsiveness
• Training: Based on GLM-4-9B with improved reasoning speed and low-latency performance

GLM-4-32B-0414’s Ability

GLM-Z1-32B-0414’s Ability

Prompt:Help me gather information about the following models, describe their basic attributes, and suitable application directions, and try to get a peek at why Zhipu has launched six models GLM-4-32B-Base-0414: GLM-4-32B-0414 GLM-Z1-32B-0414 GLM-Z1-Rumination-32B-0414 GLM-4-9B-0414 GLM-Z1-9B-0414.

GLM-Z1-Rumination-32B-0414’s Ability

Prompt: Please analyze the current technological development of the AI Agent, including the market performance of key players, and future trends, relevant technical specifications, performance metrics, and industry updates. Please support your analysis with authoritative data sources.

How to Access GLM-4 Series Model?

Exciting News for Developers: Novita AI is now offering free API access to two powerful models — GLM-4-9B and GLM-Z1-9B — to accelerate innovation in the open-source community.

Step 1: Log In and Access the Model Library

Log in to your account and click on the Model Library button.

Step 2: Choose Your Model

Browse through the available options and select the model that suits your needs.

Step 3: Start Your Free Trial

Begin your free trial to explore the capabilities of the selected model.

Step 4: Get Your API Key

To authenticate with the API, we will provide you with a new API key. Entering the “Settings“ page, you can copy the API key as indicated in the image.

Step 5: Install the API

Install API using the package manager specific to your programming language.

After installation, import the necessary libraries into your development environment. Initialize the API with your API key to start interacting with Novita AI LLM. This is an example of using chat completions API for python users.

from openai import OpenAI
  
client = OpenAI(
    base_url="https://api.novita.ai/v3/openai",
    api_key="<YOUR Novita AI API Key>",
)

model = "thudm/glm-4-32b-0414"
stream = True # or False
max_tokens = 2048
system_content = """Be a helpful assistant"""
temperature = 1
top_p = 1
min_p = 0
top_k = 50
presence_penalty = 0
frequency_penalty = 0
repetition_penalty = 1
response_format = { "type": "text" }

chat_completion_res = client.chat.completions.create(
    model=model,
    messages=[
        {
            "role": "system",
            "content": system_content,
        },
        {
            "role": "user",
            "content": "Hi there!",
        }
    ],
    stream=stream,
    max_tokens=max_tokens,
    temperature=temperature,
    top_p=top_p,
    presence_penalty=presence_penalty,
    frequency_penalty=frequency_penalty,
    response_format=response_format,
    extra_body={
      "top_k": top_k,
      "repetition_penalty": repetition_penalty,
      "min_p": min_p
    }
  )

if stream:
    for chunk in chat_completion_res:
        print(chunk.choices[0].delta.content or "", end="")
else:
    print(chat_completion_res.choices[0].message.content)
  
  
  

Whether you’re building a smart assistant, conducting market-level analysis, or deploying AI at scale, the GLM-4 series has a model tailored to your needs. From high-performance 32B models to responsive 9B variants, each delivers unique strengths. Novita AI’s support for free API access (GLM-4-9B and GLM-Z1-9B) makes it easier than ever to get started. For developers, this is a scalable, open-source-friendly entry into high-performance language modeling.

Frequently Asked Questions

Novita AI is an AI cloud platform that offers developers an easy way to deploy AI models using our simple API, while also providing the affordable and reliable GPU cloud for building and scaling.

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