GLM 4.6 just changed everything.
You’re paying $20 a month for ChatGPT.
Maybe $18 for Claude.
And right now, there’s a GLM 4.6 model sitting at #3 in the world that costs you nothing.
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What Makes GLM 4.6 Different From Every Other AI
GLM 4.6 isn’t just another chatbot.
It’s agentic.
That means GLM 4.6 doesn’t sit there waiting for you to ask questions.
It does actual work.
GLM 4.6 browses the web on its own.
GLM 4.6 writes code and builds entire applications.
GLM 4.6 handles multi-step projects without you holding its hand.
A Chinese company called Zhipu AI dropped GLM 4.6 and nobody’s talking about it.
While everyone’s obsessed with ChatGPT and Claude, GLM 4.6 quietly climbed to third place globally.
Not fifth.
Not tenth.
Third.
In just two years.
And the crazy part? GLM 4.6 is completely free.
The GLM 4.6 Numbers That Nobody’s Showing You
Let me show you why GLM 4.6 matters.
On the BrowseComp web browsing benchmark, GLM 4.6 scored 26.4%.
Claude 4 Opus? 18.8%.
That’s not a small gap.
That’s GLM 4.6 destroying the competition.
For tool calling, GLM 4.6 hit a 90.6% success rate.
Claude 4 Sonnet scored 89.5%.
Kimi 2 got 86.2%.
Qwen 3 Coder only managed 77.1%.
GLM 4.6 beats them all.
In 74 real-world coding tests inside the Claude Code environment, GLM 4.6 outperformed Claude Sonnet.
On CC Bench for real-world tasks, GLM 4.6 reached near parity with Claude Sonnet 4 with a 48.6% win rate.
On SWBench Verified, GLM 4.6 matched Claude’s performance.
And it’s open source.
How GLM 4.6 Actually Works (The Technical Stuff Made Simple)
GLM 4.6 has 355 billion parameters.
But here’s the trick.
Only 32 billion are active at any time.
That’s what makes GLM 4.6 so fast.
It uses something called mixture of experts architecture.
When you ask GLM 4.6 a coding question, it activates the coding expert.
When you ask GLM 4.6 about writing, it activates the writing expert.
The GLM 4.6 context window is 200,000 tokens.
You can feed GLM 4.6 an entire book and it remembers everything.
Upload huge code bases to GLM 4.6.
Long research papers.
Entire project documentation.
GLM 4.6 handles it all.
What You Can Actually Do With GLM 4.6
GLM 4.6 for Coding
I asked GLM 4.6 to create a cyberpunk search engine website.
It built the whole thing.
Neon colors.
Futuristic design.
Working search functionality.
Production-ready code.
Then I asked GLM 4.6 to make a fitness app dashboard.
User profiles.
Workout tracker.
Progress charts.
Complete with colors, icons, responsive design.
Everything worked.
I tested GLM 4.6 on a coffee shop landing page.
Hero image.
Menu section.
Contact form.
Clean HTML and CSS.
Professional looking.
Ready to deploy.
GLM 4.6 supports Python, JavaScript, Java, and every major programming language.
It’s especially good at front-end development.
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GLM 4.6 for Long Context Tasks
With that 200,000 token context window, GLM 4.6 does things other models can’t handle.
You can upload entire documentation libraries to GLM 4.6.
Feed it massive datasets.
Give GLM 4.6 complex research papers.
It remembers every detail.
GLM 4.6 for Presentations and Documents
GLM 4.6 creates full slide decks.
Complete presentations with proper formatting.
Logical flow.
Clean design.
No more spending hours on PowerPoint.
Just tell GLM 4.6 what you need and it builds it.
Is GLM 4.6 Actually Free? (The Real Cost Breakdown)
Yes.
The GLM 4.6 model itself is completely open source and free to download.
You can run GLM 4.6 locally if you have the hardware.
The GLM 4.6 model weights are publicly available on Hugging Face and Model Scope.
But if you don’t want to run GLM 4.6 locally, you can use their API.
The GLM 4.6 API has costs, but they’re incredibly low:
About 11 to 20 cents per million input tokens.
About 28 to 80 cents per million output tokens.
Compare that to ChatGPT or Claude, which costs way more.
Here’s the math that matters:
If you’re paying $20 a month for ChatGPT Plus, that’s $240 a year.
But with GLM 4.6, you’re looking at $36 a year.
You just saved over $200.
If you’re running a business with a team of five people, that’s $1,000 saved per year with GLM 4.6.
Ten people? $2,000.
Why Chinese AI Labs Are Winning (And What That Means For You)
China is not playing around with AI anymore.
In the last six months, Chinese AI labs went from nowhere to competing at the highest level.
First came DeepSeek.
Then Kimi 2.
Then Qwen 3.
Now GLM 4.6.
And each one keeps getting better.
These models are trained for a fraction of the cost.
DeepSeek V3 cost about $6 million to train.
GPT-4 probably cost hundreds of millions.
And yet they’re performing at similar levels.
While American companies are closing up, Chinese labs are staying open.
GLM 4.6 is open source and free to download.
You can see the code.
You can modify it.
You can build on top of GLM 4.6.
The model weights are publicly available.
What You Should Actually Do With GLM 4.6 Right Now
Step 1: Try GLM 4.6
Download GLM 4.6 for free and run it locally.
Or use it through Zhipu AI’s API platform if you prefer.
Test GLM 4.6 on your actual work.
See how it compares.
Step 2: Consider Switching From ChatGPT to GLM 4.6
If you’re paying for ChatGPT or Claude, consider switching to GLM 4.6.
You might find that GLM 4.6 handles most of what you need.
And you’ll save hundreds of dollars per year.
Step 3: Use The GLM 4.6 API For Your Business
If you’re a developer or running a business, look into the GLM 4.6 API.
The pricing is so good that you can build AI features into your products without breaking the bank.
Step 4: Keep An Eye On Chinese AI
These companies are releasing new models constantly.
And each release is better than the last.
GLM 4.6 is just the beginning.
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We have an SOP and process for everything.
Over 100 different use cases.
You’ll see exactly how to use tools like GLM 4.6 for real business tasks.
Inside you’ll get all the video notes, tutorials, and resources.
Plus access to a community of over 1,000 members.
The GLM 4.6 Truth Nobody’s Telling You
Let me be clear.
GLM 4.6 is not perfect.
Claude still beats GLM 4.6 on some coding tasks.
ChatGPT might be better at creative writing.
But for most business tasks, GLM 4.6 holds its own.
And the price makes it a no-brainer to at least try.
Here’s what I think is going to happen:
Right now, most people don’t know about GLM 4.6.
But in six months, everyone will.
The people who adopt GLM 4.6 early are going to have a huge advantage.
Think about when ChatGPT first came out.
The people who jumped on it immediately got a massive head start.
Now, same thing here with GLM 4.6.
This is your chance to get ahead before everyone else catches up.
How To Get Started With GLM 4.6 Today
You have two options with GLM 4.6:
Option 1: Download the GLM 4.6 model for free from Hugging Face or Model Scope and run it locally if you have the hardware.
Option 2: Use Zhipu AI’s API platform which has low costs.
Sign up for a GLM 4.6 account.
Start with simple tasks.
Then move to more complex stuff with GLM 4.6.
Test it against whatever you’re currently using.
The paid coding plan for GLM 4.6 is optional.
It’s $3 a month for light.
$15 for pro.
That gets you better rate limits and works with Claude Code, Cline, and other coding tools.
But the base GLM 4.6 model is free.
The GLM 4.6 Agentic Capabilities That Change Everything
Don’t sleep on the agentic capabilities of GLM 4.6.
This is where GLM 4.6 really shines.
Instead of thinking of GLM 4.6 as a chatbot, think of it as an assistant that can actually do tasks.
Give GLM 4.6 multi-step projects.
Let it figure out the details.
GLM 4.6 doesn’t just answer questions.
It solves problems.
Why GLM 4.6 Matters For Your Business
Two years ago, Chinese AI was nowhere.
Fast forward to today and Chinese models like GLM 4.6 are ranked third in the world.
They’re matching Claude and GPT on multiple benchmarks.
And they’re doing it for a fraction of the cost.
These companies are focused.
They’re efficient.
They’re moving fast.
While American companies are raising billions, Chinese companies are doing more with less using GLM 4.6.
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We show you exactly how to use tools like GLM 4.6 at scale.
Get the processes.
The community.
The ongoing updates.
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The GLM 4.6 Proof Is In The Performance
Models like GLM 4.6 are proving that you don’t need billions of dollars to build world-class AI.
The Chinese labs figured that out.
And now we all get to benefit from GLM 4.6.
So don’t sit on the sidelines.
Go test GLM 4.6 out today.
Quality Control Is Everything With GLM 4.6
Here’s something critical most people miss about GLM 4.6:
You still need to quality control everything.
GLM 4.6 is powerful, but it’s not magic.
It can make mistakes.
It can misunderstand context.
It can generate code that looks right but has subtle bugs.
Always review what GLM 4.6 produces.
Test the code before deploying.
Read through the content before publishing.
GLM 4.6 is a tool, not a replacement for human judgment.
Inside the AI Profit Boardroom, we teach you the exact quality control processes to use with GLM 4.6 and other AI tools.
You’ll learn what to check.
How to test.
When to trust the AI and when to question it.
This is the difference between using GLM 4.6 effectively and wasting time fixing its mistakes.
Frequently Asked Questions About GLM 4.6
Is GLM 4.6 really free?
Yes, the GLM 4.6 model is completely open source and free to download. You can run GLM 4.6 locally or use the API with very low costs starting around $9 per month.
How does GLM 4.6 compare to ChatGPT?
GLM 4.6 ranks third globally across 12 different benchmarks. It beats ChatGPT on several coding and tool-calling tasks, though ChatGPT may still be better for some creative writing tasks.
Can I use GLM 4.6 for my business?
Absolutely. GLM 4.6 is built for agentic AI, which means it can handle real business tasks like coding, web browsing, document creation, and multi-step projects.
Does GLM 4.6 work with coding tools like Claude Code?
Yes, GLM 4.6 works with Claude Code, Cline, and other popular coding tools. In 74 real-world coding tests, GLM 4.6 outperformed Claude Sonnet.
How much does the GLM 4.6 API cost?
The GLM 4.6 API costs about 11 to 20 cents per million input tokens and 28 to 80 cents per million output tokens. Compare that to $240 per year for ChatGPT Plus.
What languages does GLM 4.6 support?
GLM 4.6 supports Python, JavaScript, Java, and every major programming language. It’s especially strong at front-end development.
Can GLM 4.6 handle long documents?
Yes, GLM 4.6 has a 200,000 token context window. You can upload entire books, massive code bases, and long research papers.
Is GLM 4.6 better than Claude?
GLM 4.6 outperforms Claude on web browsing (26.4% vs 18.8%) and tool calling (90.6% vs 89.5%). Claude may still be better on some specific coding tasks.
The Bottom Line On GLM 4.6
GLM 4.6 just changed the game.
You don’t need to pay $20 a month anymore.
You don’t need to wait for the next ChatGPT update.
GLM 4.6 is here, it’s free, and it works.
Go test it.
See how it performs for your specific use cases.
And if you want the complete training on how to use GLM 4.6 and other AI tools to scale your business, join the AI Profit Boardroom.
We’ll show you exactly what to do.
Step by step.
No guessing.
No wasted time.
Just results.
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That’s it.
Go use GLM 4.6.
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