A brand new Chinese AI model just dropped — and it’s shaking up the entire industry.

It’s called **iQuest Coder V1 40B**, and it’s already outperforming GPT and Claude on real coding benchmarks.

Watch the video below:

[https://www.youtube.com/watch?v=uwXPEyzulCo&t=12s](https://www.youtube.com/watch?v=uwXPEyzulCo&t=12s)

Want to make money and save time with AI?  
👉 Join the AI Profit Boardroom: [https://juliangoldieai.com/7QCAPR](https://juliangoldieai.com/7QCAPR)



Most people think you need massive 500B+ parameter models to compete.

But this one? It runs locally.

It’s open-source.

And it’s only **40 billion parameters** — yet it beats models ten times its size.

That’s the power of **iQuest Coder V1 40B**.



# Why iQuest Coder V1 40B Matters

Here’s why this model is such a big deal.

It’s not a chatbot.

It’s not another “assistant.”

It’s a real **AI coding agent** that can reason through your code, fix issues, and understand full repositories.

It hits **81.4% on S-Bench**, a coding benchmark that tests whether an AI can fix actual GitHub bugs.

GPT and Claude? They struggle with that.

But **iQuest Coder V1 40B** dominates it.

And it’s completely open source — no API fees, no rate limits, no hidden costs.

You can literally download it today and run it from your laptop.



# The Secret: Looped Recurrent Transformer Design

Most AI models process data in one big pass.

**iQuest Coder V1 40B** doesn’t.

It loops through the data multiple times, reusing parameters efficiently.

That’s why it’s smaller but faster.

This architecture means:

* Lower inference costs
* Faster processing
* More context awareness

And with a **128K token window**, it can read entire codebases at once.

Not just files.

Not just snippets.

The entire repository.

That’s a game-changer for developers automating workflows or debugging at scale.



# Trained on Real Code Flow

Most AI models are trained on frozen snapshots of code.

They don’t understand how code evolves over time.

**iQuest Coder V1 40B** changes that.

It’s trained on **commit histories** — meaning it learns from how developers actually refactor, fix bugs, and push updates.

It doesn’t just know syntax.

It understands logic.

That’s why it performs so well in real-world automation and software development tasks.



# Crushing Benchmarks

Here’s what the numbers look like:

* **S-Bench Verified:** 81.4%
* **BigCodeBench:** 49.9%
* **LiveCodeBench V6:** 81.1%

All of these are real-world benchmarks that test how well AI can handle practical coding challenges.

And remember — this is a **40B parameter model**.

Claude and GPT are both hundreds of billions of parameters — yet this smaller open-source model is keeping up.



# Real Use Cases for AI Builders

At the **AI Profit Boardroom**, we use coding agents like **iQuest Coder V1 40B** to automate our business systems.

Client onboarding.

Lead generation.

Content creation pipelines.

With this model, you can build the same systems — without paying for expensive APIs or dealing with closed platforms.

It’s freedom.

Pure AI automation that runs on your terms.

If you want to see how we build these systems, join the AI Profit Boardroom:  
👉 [https://juliangoldieai.com/7QCAPR](https://juliangoldieai.com/7QCAPR)



# Model Variants You Can Use

**iQuest Coder V1 40B** isn’t just one model.

It’s a family.

Here’s how they differ:

* **Instruct Variants:** Great for writing and cleaning code.
* **Thinking Variants:** Best for reasoning, debugging, and architectural planning.
* **Loop Variants:** Most efficient for large-scale workflows.

All of them are available right now on Hugging Face.

You can run them locally or fine-tune them for your own company’s codebase.



# Run It Locally — No API Needed

If you’ve got a strong GPU, you can run **iQuest Coder V1 40B** directly on your hardware.

If not, use a quantized version — even 4-bit models run on consumer GPUs or MacBooks using MLX.

That means:

* No monthly API costs
* No privacy risks
* Total control of your AI stack

And for agencies or teams working with private client data, that’s huge.

You don’t need to send sensitive information to third-party servers anymore.



# Real Talk: The Limitations

Every model has limits, and **iQuest Coder V1 40B** is no different.

It doesn’t execute code — you still need to test outputs manually.

Performance may dip on uncommon languages.

And a 40B model, while efficient, still needs solid hardware to run fast.

But for most automation tasks, this model is already ahead of the curve.



# The Future of Coding Agents

This is what the future of development looks like.

AI agents that write, refactor, and understand code deeply.

That reason through logic.

That scale your productivity.

And because **iQuest Coder V1 40B** is open source, you can build on top of it, fine-tune it, and make it your own.

That’s what innovation should look like.

Open. Accessible. Powerful.

If you want the templates and AI workflows we use to automate all this, check out Julian Goldie’s **FREE AI Success Lab Community** here:  
👉 [https://aisuccesslabjuliangoldie.com/](https://aisuccesslabjuliangoldie.com/)

Inside, you’ll see exactly how creators are using models like **iQuest Coder V1 40B** to automate education, content creation, and client training.



# How to Get Started

1. Go to Hugging Face.
2. Search for **iQuest Coder V1 40B Loop Instruct**.
3. Download the model.
4. Run a simple script.
5. Build your first automation.

That’s it.

Start small.

Then scale up to API automation, data processing, and workflow orchestration.

You’ll be amazed how fast it works.



# Final Thoughts

**iQuest Coder V1 40B** is a wake-up call.

It’s proof that innovation doesn’t have to come from Big Tech.

That open-source AI can outperform giants like GPT and Claude.

And that you can now build world-class automation — locally, privately, and at zero cost.

This is the model that changes how developers and entrepreneurs think about coding agents.



# FAQ

**Q: Where can I download iQuest Coder V1 40B?**  
A: From Hugging Face. Search “iQuest Coder V1 40B Loop Instruct.”

**Q: Does it work offline?**  
A: Yes, you can run it locally with the right GPU or a quantized model.

**Q: How does it compare to GPT?**  
A: It beats GPT and Claude on several real-world coding benchmarks.

**Q: Where can I get templates to automate this?**  
A: You can access full templates and workflows inside the **AI Profit Boardroom**, plus free guides inside the **AI Success Lab**.

This 40B Model Just Crushed Every Benchmark