Everyone’s talking about GPT-4 and Claude.
But here’s the truth: open source AI models just beat them.
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You don’t need to spend thousands on expensive AI subscriptions anymore.
These open source AI models are faster, smarter, and completely free.
And today, I’ll show you which ones dominate — and how you can use them to automate your business.
Let’s break it down.
GLM 4.7: The All-Around King of Open Source AI Models
GLM 4.7 just ranked #1 on the OpenArena leaderboard.
Made by GPU AI, it’s fully open source under the MIT license.
It’s not just good — it’s balanced.
It reasons like Claude, codes like GPT-4, and keeps context like Gemini.
Imagine this:
You upload 10 competitor websites.
You ask your agent to analyze their content, find patterns, and spot content gaps.
GLM 4.7 handles that instantly.
It doesn’t summarize — it thinks.
It connects dots and gives strategy.
Because it’s MIT licensed, you can use it commercially.
Build your own AI tools, SaaS products, or client systems with zero restrictions.
If you want one model that does it all, this is it.
Kimi K2: The Logic and Planning Machine
Most AI tools guess.
Kimi K2 plans.
It’s built for multi-step reasoning — perfect for automations, workflows, or agents that need to think before acting.
Let’s say you run a customer support agent.
Kimi K2 breaks tasks down step-by-step:
Understand the question, find the tool, execute, and reply.
That makes it perfect for AI agents in your business — content planning, research, or task routing.
It doesn’t skip steps.
It executes like a strategist.
If you’re building workflows that require logic, Kimi K2 is your best friend.
DeepSeek V3.2: The Coder’s Dream
DeepSeek V3.2 is one of the best open source AI models for coding.
It writes, debugs, and optimizes code better than most paid tools.
It’s been leading benchmarks for years.
Now, version 3.2 is faster, cleaner, and sharper.
Here’s a real use case:
Let’s say you need an automation that takes a customer request, writes a Python script, and runs it.
DeepSeek does all of that — no API, no fees, no limits.
You can even automate GitHub workflows — fixing issues, pushing commits, creating pull requests — all handled by an agent running DeepSeek.
It’s open source power at its best.
MiniMax M2.1: Built for AI Agents
Now we get to the dark horse — MiniMax M2.1.
This model quietly beat Gemini 3 Pro and Claude 4.5 in agent benchmarks.
It’s designed for multi-tool orchestration, meaning it can use multiple tools at once and manage them intelligently.
Example:
You want an agent that monitors your AI Profit Boardroom community.
It spots new questions, finds answers from past threads, and posts helpful replies.
That’s what MiniMax M2.1 does.
It doesn’t just “chat.”
It runs systems.
It’s built for production-level agents, not experiments.
If you care about speed, reliability, and privacy, this one wins.
Gemma 3 27B: Clean, Reliable, and Deployable
Gemma isn’t the flashiest model.
But it’s the most reliable.
Google built it for deployment — clean, efficient, and stable.
You don’t need the most powerful model for simple tasks.
You need something that just works.
Gemma is perfect for building assistants, community bots, or support tools that run smoothly without massive GPU power.
It’s also easy to fine-tune on your data — which means you can train it for your own business workflows.
Why Open Source AI Models Are Winning
For the first time, open source AI models aren’t just catching up — they’re winning.
They beat GPT-4, Claude, and Gemini in real-world performance.
They’re faster, cheaper, and customizable.
You can run them locally with zero API costs.
No vendor lock-in.
No subscription drain.
Just pure freedom.
That’s why developers, entrepreneurs, and creators are switching.
If you want the templates and AI workflows, check out Julian Goldie’s FREE AI Success Lab Community here: https://aisuccesslabjuliangoldie.com/
Inside, you’ll see exactly how creators are using open source AI models to automate education, content creation, and client training.
The Future of Open Source AI Models
2026 is the year open source dominates.
Meta’s releasing Llama 4.
Chinese labs are producing world-class models like GLM and DeepSeek.
Smaller teams are matching — even surpassing — billion-dollar companies.
This is great news for you.
You now have access to enterprise-level AI performance — completely free.
You don’t need to pay thousands for GPT-4.
You can run MiniMax or GLM 4.7 locally and get better results.
The playing field is finally level.
Join the AI Profit Revolution
If you want to actually use these tools to automate your business, join the AI Profit Boardroom.
It’s where entrepreneurs learn to save time, automate income, and build AI systems that work.
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FAQs
What are open source AI models?
They’re AI systems released publicly with full code access. Anyone can use, edit, and deploy them without restrictions.
Which open source AI model is best?
GLM 4.7 is the best all-around. MiniMax M2.1 is best for agents. DeepSeek V3.2 is best for coding.
Can I use open source models commercially?
Yes. Most are MIT licensed — meaning you can use them for products, services, or SaaS.
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.
