People keep asking me which model is better — GLM 4.7 vs MiniMax M2.1.
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If you’re tired of guessing which AI tool gives you the best results, this one’s for you.
I tested GLM 4.7 vs MiniMax M2.1 head-to-head — from building landing pages to coding full games.
And the results will surprise you.
Why Compare GLM 4.7 vs MiniMax M2.1?
Both GLM 4.7 and MiniMax 2.1 are free, open-source AI models from China.
They claim to outperform Claude and GPT on reasoning, coding, and creative generation.
Each has a 200,000-token context window.
Each can run locally through Ollama or via OpenRouter.
But which one actually performs better in real-world use?
That’s what I wanted to find out.
How I Tested GLM 4.7 vs MiniMax M2.1
I ran five practical tests.
Landing page creation, racing game coding, rock-paper-scissors game, 3D car racer, and a whack-a-mole game.
The goal was simple — see which model performs better for creators, developers, and entrepreneurs.
Every prompt, every setup was identical.
No bias, no cherry-picking.
Test 1: Landing Page Creation
Both models were asked to build a simple landing page for an SEO agency.
GLM 4.7 responded faster and generated a visually clean, ready-to-deploy page.
It even added a logo and layout elements without extra prompting.
MiniMax M2.1 did well, but the page looked slightly unfinished compared to GLM’s output.
Result: GLM 4.7 wins this round.
Test 2: Coding a Racing Game
Then I asked both models to code a simple 2D racing game.
GLM 4.7 produced a playable version in seconds.
But MiniMax M2.1’s version had a score tracker, better animations, and felt more interactive.
The difference was clear — MiniMax M2.1 handled structure and logic better.
Result: MiniMax M2.1 wins this round.
Test 3: Rock-Paper-Scissors Game
Next, I tested small-scale logic with a rock-paper-scissors game.
Both models built fully functional games with score systems and simple UI.
GLM 4.7 was faster to generate.
MiniMax M2.1 looked smoother and added animations.
Result: Draw — depends on what you value more, speed or polish.
Test 4: Building a 3D Car Racer
Here’s where it got interesting.
Both GLM 4.7 and MiniMax M2.1 managed to create a 3D car game — something that used to take hours of code.
GLM’s version was basic but stable.
MiniMax’s version included detailed environments and score tracking.
Result: MiniMax M2.1 wins again.
Test 5: Whack-A-Mole Game
Finally, I challenged both to build a click-based Whack-A-Mole game.
GLM 4.7’s version worked, but MiniMax M2.1 took it further — with pop-up effects, responsive animations, and real-time scoring.
Result: MiniMax 2.1 dominates.
Benchmark Insights: GLM 4.7 vs MiniMax 2.1
On benchmarks, both models perform closely.
GLM 4.7 slightly outperforms on reasoning and creative text generation.
MiniMax 2.1 excels in interactive app development and long-context problem solving.
Both models run efficiently on open platforms and can be deployed locally for free.
If you’re building AI-powered websites, prototypes, or interactive content — both will save you time and money.
Pricing and Accessibility
GLM 4.7 is free with minimal limits.
MiniMax M2.1 has a small usage cap unless you upgrade to the paid plan.
For developers who just want to test ideas quickly, GLM 4.7 is ideal.
For business builders and creators who need deployment and advanced control, MiniMax M2.1 is the better pick.
Final Verdict: Which Model Should You Choose?
If you want speed, simplicity, and zero limits — go with GLM 4.7.
If you want power, full app deployment, and better creative control — go with MiniMax M2.1.
Both models are incredible open-source alternatives to GPT and Claude.
But MiniMax M2.1 feels more like an AI agent — not just a chatbot.
And that’s what makes it special.
The Real Power: Automating With These Tools
You can actually combine both GLM 4.7 and MiniMax M2.1 inside your AI workflow.
Use GLM 4.7 to brainstorm content or code snippets.
Then use MiniMax M2.1 to deploy, test, or visualize those outputs in real time.
That’s what we teach inside the AI Profit Boardroom.
Inside, you’ll see real members using open-source AI models to automate workflows, build SaaS tools, and generate leads.
Learn More Inside the AI Success Lab
If you want the full prompts and tutorials from my tests, check out Julian Goldie’s FREE AI Success Lab Community here: https://aisuccesslabjuliangoldie.com/
Inside, you’ll see exactly how creators use GLM 4.7 vs MiniMax M2.1 to automate education, content creation, and client training.
You’ll also find free guides, experiments, and workflow breakdowns updated weekly.
FAQs
What’s the main difference between GLM 4.7 and MiniMax M2.1?
GLM 4.7 is faster and simpler for text and code generation, while MiniMax 2.1 is more advanced for full-stack app creation and deployment.
Which one is better for beginners?
GLM 4.7 — it’s lightweight, easy to use, and free.
Can I use both together?
Yes. You can use GLM 4.7 for idea generation and MiniMax M2.1 for execution or deployment.
Do I need to code to use these models?
Not necessarily. Both offer sandbox chat environments where you can build and test with natural language.
Where can I get templates to automate this?
You can access full templates and workflows inside the AI Profit Boardroom, plus free guides inside the AI Success Lab.
