TeleChat3: The Chinese AI Agent That Shows Its Work (And Why That Changes Everything)
Most AI models give you answers like a magic trick - you see the result but not how it got there. China's TeleChat3 changes the game by showing its reasoning step-by-step, creating unprecedented transparency for business automation while outperforming GPT-4 on key benchmarks. Here's what makes this open-source model different and how to implement it.
The Power of Thinking Mode
Traditional AI models operate like black boxes - you input a question and receive an answer with no visibility into the reasoning process. This creates trust issues for business automation, where understanding the "why" behind decisions is often as important as the decisions themselves.
TeleChat3's thinking mode solves this by revealing its cognitive process step-by-step. When solving a math problem, it doesn't just output the answer - it shows the steps: "First I'll find the common denominator, then add the fractions, then simplify." This transparency enables three critical advantages:
Auditable automation: You can verify each step of an automated process rather than blindly trusting the final output.
Correctable mistakes: If the AI makes an error in reasoning, you can identify exactly where it went wrong and provide corrective feedback.
Educational value: The step-by-step explanations help users learn the underlying principles being applied.
Technical Specs and Performance
Released in December 2025, TeleChat3 represents a significant leap in Chinese AI capabilities. The model comes in two versions:
- TeleChat3-105B: 105 billion parameters total, but only uses 4.7 billion at a time via mixture-of-experts architecture
- TeleChat3-36B: More compact 36 billion parameter version suitable for less powerful hardware
Both models were trained on 150 trillion tokens using exclusively Chinese-made Huawei hardware, achieving benchmark scores that rival or exceed top Western models:
Key Benchmark Scores:
- 78-80% on MMLU Pro (general knowledge)
- 91-95% on MATH 500 (mathematics)
- 87-92% on HumanEval (coding)
- 58-63% on AgentBench (AI agent performance)
Business Automation Use Cases
TeleChat3's thinking mode makes it particularly valuable for business automation where transparency matters. Consider these practical applications:
1. Email Sequence Creation
Rather than just generating emails, TeleChat3 outlines the complete strategy:
"First email hooks with a pain point, second presents the solution, third builds trust with social proof, fourth overcomes objections, fifth makes the offer with urgency."
2. Landing Page Development
The model doesn't just output page copy - it explains the conversion psychology behind each element:
"Headline must address the core frustration, hero section should show transformation, benefits need clear visualization, CTA requires strong value proposition with social proof."
3. Customer Support Automation
Agents powered by TeleChat3 can explain their reasoning:
"Customer asked about refunds. First I'll verify purchase date, then check policy exceptions, then draft response acknowledging their concern while explaining eligibility."
How to Implement TeleChat3
Getting started with TeleChat3 involves just a few steps:
Step 1: Access the Model
Visit Hugging Face and search for "TeleChat3" to find both model versions. The platform provides:
- Model weights for local deployment
- Inference code examples
- Demo interfaces through Hugging Face Spaces
Step 2: Set Up Thinking Mode
Enable the unique reasoning display by including the <thinking> tag in your prompt:
Example Prompt: "<thinking> Create a 5-email sequence that converts cold leads into paying customers for an AI automation service."
Step 3: Configure Parameters
Optimize output quality with these recommended settings:
- Temperature: 0.6-1.2 (controls creativity)
- Top-p: 0.95 (sampling method)
- Max tokens: Adjust based on task complexity
Why This Changes AI Agents Forever
Traditional AI agents operate as black boxes - they take actions but don't explain why. TeleChat3's thinking mode enables a new generation of transparent agents that:
Build trust: Users can verify the agent's reasoning before it takes consequential actions.
Enable debugging: When something goes wrong, you can trace exactly which step in the reasoning chain failed.
Facilitate improvement: The visible thought process makes it easier to provide targeted feedback that enhances performance.
This transparency is particularly valuable for:
- Financial decision-making agents
- Legal document automation
- Medical diagnosis assistants
- Any application where understanding the "why" matters as much as the "what"
TeleChat3 vs. GPT-4 vs. Claude
How does China's new model stack up against the established leaders?
| Feature | TeleChat3 | GPT-4 | Claude |
|---|---|---|---|
| Thinking Mode | ✅ Shows reasoning | ❌ Black box | ❌ Black box |
| Open Source | ✅ Free to use | ❌ Proprietary | ❌ Proprietary |
| Cost | ✅ No token fees | ❌ Pay-per-use | ❌ Pay-per-use |
| Performance | ✅ Matches GPT-4 | ✅ Top tier | ✅ Top tier |
The combination of transparent reasoning, open-source availability, and top-tier performance makes TeleChat3 particularly attractive for business automation where cost, control, and auditability matter.
Current Limitations
While groundbreaking, TeleChat3 isn't perfect. Users should be aware of:
Hallucination risk: Like all LLMs, TeleChat3 can generate incorrect information, though the thinking mode makes these easier to spot.
Chinese bias: Trained primarily on Chinese data sources, the model may have different cultural reference points than Western-trained AIs.
Hardware requirements: The full 105B parameter model requires significant computing power for optimal performance.
These limitations are balanced by the model's unique advantages - particularly the ability to audit and correct its reasoning process when errors occur.
Watch the Full Tutorial
See TeleChat3's thinking mode in action with this complete walkthrough demonstrating how to implement the model for business automation (jump to 3:45 for the email sequence generation example).
Key Takeaways
TeleChat3 represents a significant evolution in AI by prioritizing transparency alongside capability. For businesses considering AI automation, this changes the calculus in several important ways:
In summary: TeleChat3 delivers GPT-4 level performance with unprecedented transparency through its thinking mode, all while being open-source and free to use. This combination makes it particularly valuable for business automation where understanding the reasoning behind decisions matters as much as the decisions themselves.
Frequently Asked Questions
Common questions about TeleChat3
TeleChat3's key innovation is its 'thinking mode' that shows step-by-step reasoning before delivering final answers. Unlike GPT-4 which operates as a black box, TeleChat3 reveals its internal thought process, making it more transparent and trustworthy for business applications.
This transparency allows users to:
- Verify the AI's logic at each decision point
- Correct mistakes in the reasoning chain
- Understand the strategic framework behind outputs
- Learn from the model's problem-solving approach
TeleChat3 achieves benchmark scores comparable to top-tier models while offering additional transparency. Key performance metrics include:
- 78-80% on MMLU Pro (general knowledge) - matches GPT-4
- 91-95% on MATH 500 (mathematics) - exceeds most models
- 87-92% on HumanEval (coding) - competitive with best
- 58-63% on AgentBench (AI agents) - strong for open-source
These scores demonstrate that TeleChat3 delivers top-tier capability alongside its unique thinking mode advantage.
Absolutely. TeleChat3 excels at business automation tasks because its thinking mode allows for auditing and refinement of automated processes. Practical applications include:
- Content generation with visible strategic frameworks
- Email sequence creation showing conversion psychology
- Customer support automation with auditable reasoning
- Data analysis revealing methodology behind insights
- Process documentation that explains each step's purpose
Yes, TeleChat3 is completely open-source and free to download from Hugging Face. This represents a significant cost advantage over proprietary models:
- No per-token charges unlike GPT-4 or Claude
- No API fees for high-volume usage
- No vendor lock-in - you control the deployment
- Local operation avoids cloud service costs
The open-source model makes TeleChat3 particularly cost-effective for business automation at scale.
TeleChat3 comes in two versions with different hardware requirements:
- TeleChat3-36B: Can run on powerful consumer GPUs (e.g., Nvidia RTX 4090 with 24GB VRAM)
- TeleChat3-105B: Requires enterprise-grade hardware (multiple high-end GPUs or TPUs)
Both models were trained on Chinese-made Huawei hardware, demonstrating China's growing semiconductor independence in AI development.
Thinking mode transforms AI agents from black boxes into transparent systems by:
- Showing decision rationale: Agents explain why they're taking each action
- Enabling error detection: Mistakes become visible in the reasoning chain
- Facilitating improvement: Clear audit trails allow targeted corrections
- Building user trust: Transparency increases confidence in automated processes
For example, a customer support agent would show its complete reasoning process before responding to inquiries, allowing human oversight where needed.
TeleChat3 is available through multiple access points:
- Hugging Face: Search for "TeleChat3" to find model weights and documentation
- GitHub: Contains inference code and implementation examples
- Hugging Face Spaces: Offers demo interfaces requiring no coding
- Chinese AI platforms: Various domestic implementations exist
The open-source nature means developers can integrate TeleChat3 into their own applications without restrictive licensing.
GrowwStacks specializes in implementing cutting-edge AI like TeleChat3 for business automation. Our services include:
- Custom agent development: Building TeleChat3-powered solutions for your specific needs
- Workflow integration: Connecting TeleChat3 to your existing tools and processes
- Performance optimization: Tuning models for your particular use cases
- Training and support: Ensuring your team can effectively use and maintain the systems
We offer a free 30-minute consultation to discuss how TeleChat3 could transform your business operations with transparent automation.
Ready to Implement Transparent AI Automation?
Most businesses waste hours every day on repetitive tasks because they don't trust black-box AI solutions. With TeleChat3's thinking mode, you get both automation and transparency. GrowwStacks can have your first workflow live in under 48 hours.