The TeleChat 3 AI Agent just dropped — and it’s insane.
Most AI models, like GPT-4 or Claude, give you answers.
The TeleChat 3 AI Agent gives you reasoning.
It explains every step of its thought process so you can see exactly how it gets from question to answer.
Watch the video below:
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What Is TeleChat 3 AI Agent?
The TeleChat 3 AI Agent is China’s newest large language model, released in December 2025.
It’s open-source, runs locally, and was trained entirely on Chinese hardware.
No dependence on U.S. chips, no reliance on American infrastructure.
That’s a big move geopolitically — but what’s even bigger is the technology itself.
It comes in two sizes:
- A 105B parameter version that uses 4.7B active parameters per task.
- A smaller 36B parameter version optimized for lower-end systems.
That means it’s both powerful and efficient — a model that balances scale with smart architecture.
It was trained on over 150 trillion tokens — that’s more data than most Western models ever touch.
But raw numbers aren’t what make it special.
The real game changer is Thinking Mode.
The Power of Thinking Mode
The TeleChat 3 AI Agent doesn’t just output results — it explains how it reached them.
When you ask it a question, it activates “thinking mode.”
Instead of spitting out an answer instantly, it walks through each logical step in real time.
For example, ask it to solve a math problem, and you’ll see:
- Step 1: Identify the operation.
- Step 2: Simplify the fractions.
- Step 3: Verify the result.
It’s like watching a human write out the reasoning on a whiteboard.
That transparency is huge for trust and debugging.
Because when AI is running your business, you need to know why it’s doing what it’s doing.
With TeleChat 3, you can audit the process.
You can confirm whether it’s right or wrong — and correct it if needed.
That’s not possible with black-box models like GPT-4 or Claude.
They hide their reasoning.
TeleChat 3 reveals it.
And that’s what makes it perfect for automation, research, and decision-making.
Why Thinking Mode Matters for Business Automation
Let’s get practical.
Say you run the AI Profit Boardroom or any business that uses automation.
You rely on AI to write emails, plan campaigns, analyze data, or respond to customers.
But here’s the problem — most AIs don’t explain why they’re doing what they do.
If they make a mistake, you have no idea where it came from.
TeleChat 3 changes that.
Imagine you ask it:
“Write me a five-email sequence that converts cold leads into paying members.”
Instead of just giving you the emails, it shows you its logic.
- Email 1: Hook with a relatable pain point.
- Email 2: Offer a clear solution.
- Email 3: Build trust with a case study.
- Email 4: Handle objections.
- Email 5: Include a strong call-to-action.
You don’t just get content — you get a strategy.
You can follow its reasoning, learn its logic, and tweak it if needed.
That’s how you scale smarter.
You’re not guessing what the AI is doing anymore — you’re collaborating with it.
TeleChat 3 AI Agent Technical Specs
Under the hood, the TeleChat 3 AI Agent uses an architecture designed for efficiency and interpretability.
It activates only a small fraction of its parameters for each task — just 4.7B out of 105B — making it much faster and cheaper to run.
It was trained entirely using Huawei’s domestic processors, meaning it’s 100% independent of U.S. hardware.
But the specs are just the start.
Here’s how it performs.
Benchmark Performance vs GPT-4, Qwen, and Claude
Benchmarks don’t lie — and the TeleChat 3 AI Agent dominates.
On MMLI Pro (general reasoning), it scores 78–80%, matching GPT-4.
On Math 500, it hits 91–95%, outperforming Claude.
On HumanEvalX (coding tasks), it lands 87–92%, nearly identical to Qwen 2.5.
And on TA2 Bench (autonomous agent tests), it reaches 58–63%, showing world-class decision-making performance.
These aren’t beta numbers.
They’re production-ready.
And remember — this is open-source.
You can download it right now and run it locally.
That’s unheard of for a model this powerful.
How to Run TeleChat 3 AI Agent Locally
Setting up TeleChat 3 AI Agent is simple.
Here’s how to get started:
- Go to Hugging Face and search for “TeleChat 3.”
- You’ll find two versions — TeleChat-3-105B-A4.7B-Thinking and TeleChat-3-36B-Thinking.
- Download the one that fits your hardware.
- Use the Transformers library to load the model.
You can set the temperature between 0.6 and 1.2 for creativity.
Set top-p to around 0.95 for stable sampling.
Then, when you send a prompt, include the “thinking” tag.
You’ll see the model write out its reasoning before giving the final answer.
This is incredibly helpful for debugging workflows, automating marketing, or designing multi-step systems.
It’s AI you can watch think.
Real-World Example: AI Marketing Workflow
Let’s say you want to build a landing page for your AI community.
You tell TeleChat 3 AI Agent:
“Create a landing page outline for an AI automation community that converts visitors into members.”
With Thinking Mode on, it will respond like this:
- “First, identify the audience’s pain points — they feel overwhelmed by AI tools.”
- “Second, highlight the transformation — they’ll save time and make money.”
- “Third, outline benefits — expert training, templates, community access.”
- “Fourth, write a strong CTA — Join 40,000 members using AI to grow.”
Then it generates the complete landing page structure.
Headline, sections, calls to action — everything.
You get both the deliverable and the reasoning behind it.
That’s like having an AI strategist and a copywriter working together — for free.
TeleChat 3 AI Agent for Building Better AI Agents
Here’s where it gets wild.
The TeleChat 3 AI Agent can actually help you build other AI agents.
Because it reveals its reasoning, you can trace and refine its logic to train your own systems.
Let’s say you’re building a customer support agent.
A user asks a refund question.
TeleChat 3 will think aloud:
- “Identify the request: refund inquiry.”
- “Check order database.”
- “Apply refund policy.”
- “Draft polite response.”
You can literally see every decision path.
You can test, audit, and improve it.
That’s massive for businesses that care about quality and control.
No hidden processes.
No guessing what the AI is doing.
You see it all.
TeleChat 3 AI Agent vs Other Models
Here’s how it stacks up.
TeleChat 3 vs GPT-4: GPT-4 is powerful, but it’s a black box. You never see how it thinks. TeleChat 3 shows every reasoning step.
TeleChat 3 vs Qwen: Qwen is advanced but closed-source. TeleChat 3 is fully open — anyone can inspect or fine-tune it.
TeleChat 3 vs Claude: Claude is excellent for reasoning but expensive to use. TeleChat 3 is free and runs locally.
For entrepreneurs and developers, that means full control, no API costs, and zero vendor lock-in.
You own your AI.
That’s freedom.
Why Transparency Is the Future of AI
The biggest breakthrough of the TeleChat 3 AI Agent isn’t speed or accuracy.
It’s transparency.
For the first time, you can see AI reasoning in real time.
That builds trust.
That enables regulation.
And that allows businesses to automate complex workflows responsibly.
You don’t have to hope the AI is doing the right thing.
You can see it.
That’s the future — open, explainable, human-aligned AI.
How Businesses Can Use TeleChat 3
Here are practical ways to use the TeleChat 3 AI Agent:
- Content creation: Generate and audit marketing materials with clear reasoning.
- Automation design: Build transparent AI workflows that you can debug easily.
- Customer support: Train agents that explain their own responses.
- Education: Use it as a tutor that shows each step of problem-solving.
- Coding: Watch it plan and test algorithms line by line.
Whether you’re a solo creator or a startup founder, this model saves you time and gives you clarity.
If you want to see exactly how business owners are using the TeleChat 3 AI Agent to automate systems, check out Julian Goldie’s FREE AI Success Lab Community here: https://aisuccesslabjuliangoldie.com/
Inside, you’ll see how creators are connecting open-source tools like TeleChat 3, Claude Code, and Gemini to build real AI automations — from client onboarding to course creation — all without writing a single line of code.
How to Access TeleChat 3
Getting started is easy:
- Visit Hugging Face and search “TeleChat 3.”
- Download the version that fits your setup (105B or 36B).
- Run it using Transformers or test it directly in Hugging Face Spaces (no code needed).
- Try “thinking mode” on different tasks — writing, coding, or customer support.
You’ll instantly see why this model stands out.
China’s AI Strategy and Why It Matters
China built TeleChat 3 to reduce reliance on Western hardware and software.
It runs entirely on Huawei’s new processors.
That’s not just national pride — it’s proof that innovation in AI is now global.
For the rest of us, that’s great news.
Competition drives progress.
And this competition is pushing AI to become more open, affordable, and explainable.
Final Thoughts
The TeleChat 3 AI Agent isn’t just another model — it’s a movement.
A shift toward open-source transparency.
A system that lets you see, understand, and trust AI.
Whether you’re building automations, writing content, or training your own models, this tool gives you an edge.
You can see how AI thinks.
That’s powerful.
That’s the future.
And if you want to learn how to apply it to your business — from automation frameworks to content systems — join the AI Profit Boardroom.
That’s where you’ll master tools like this and use them to scale faster than ever.
FAQs
What is the TeleChat 3 AI Agent?
It’s China’s new open-source AI model that can show its reasoning step by step through Thinking Mode.
Is TeleChat 3 better than GPT-4?
In reasoning and transparency, yes. It matches GPT-4 on benchmarks while letting you see how it thinks.
Can I run TeleChat 3 locally?
Yes. You can download it free from Hugging Face and run it on your machine or in the cloud.
Does it support English?
Yes — it performs well in both English and Chinese.
Where can I get templates to automate this?
You can access full templates and workflows inside the AI Profit Boardroom, plus free guides in the AI Success Lab.
