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Very High Reasoning

GLM 4.5

GLM-4.5 is Z.ai's groundbreaking open-source AI model with 355B parameters, delivering top-tier reasoning, coding, and agentic capabilities through its efficient MoE architecture and dual thinking/non-thinking modes. Optimized for agent tasks with 128K context and native tool calling, it rivals proprietary giants like Claude while enabling fast, powerful applications.

128k Context
Very High Intelligence
I cannot find the training knowledge cutoff date for GLM-4.5 in the provided search results. While one search result mentions GLM-4.5 exists, it does not specify its knowledge cutoff date. Knowledge

Available for Chat, Vision, and File Uploads.

Performance Benchmarks

MMLU-Pro
84.6%
GPQA
79.1%
AIME24
91.0%

How do you want to interact?

Start a Conversation

Ask anything.
Have a natural conversation, brainstorm ideas, draft emails, or ask for advice.

Start Chatting

Use a Persona

Specialized Experts.
Instruct the AI to act as a Coding Tutor, Marketing Expert, or Travel Guide.

Pick a Persona

Why use GLM 4.5?

Reasoning

Advanced multi-step logical reasoning and problem-solving capabilities with thinking and non-thinking modes

Coding

Full-stack development abilities including frontend, backend, database management, and autonomous code generation

Agentic Capabilities

Tool integration, function calling with 90.6% accuracy, and autonomous task execution with web browsing

Capability Examples

Agentic Web Development
Build a full-stack todo app with React frontend, Node backend, and MongoDB. Include deployment script to Vercel.
Here's the complete code: [React frontend with hooks and Tailwind CSS for UI. Node/Express backend with REST APIs and Mongoose schema. MongoDB connection. Vercel deployment script with env vars.] Deployed at: todo-app.vercel.app
Complex Reasoning Task
Solve this math puzzle: A farmer has 17 sheep, all but 9 die. How many are left? Then plan a supply chain optimization for 3 warehouses using linear programming.
9 sheep left. LP model: Minimize cost = 2x1 + 3x2 + 4x3 s.t. x1 + x2 >= 100, etc. Optimal: x1=40, x2=30, x3=30. Python PuLP code provided.

How to use

1
Go to Chat

Navigate to the "AI Chat" page.

2
Select Model

Ensure GLM 4.5 is selected.

3
Type Prompt

Ask a question or paste code.

4
Interact

Refine the answer by replying to the AI.

Compare LLMs Side-by-Side

Is GLM 4.5 better than Claude 3.5 or Gemini? Test same prompts simultaneously in the Chat Playground.

Open Chat Playground

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