How to build your Qwen 3.8 Max AI system
1. Add Qwen as your main AI brain. 2. Connect Hermes or Claude Code. 3. dd Obsidian memory. 4. Create custom workflows. 5.
1. Add Qwen as your main AI brain. 2. Connect Hermes or Claude Code. 3. dd Obsidian memory. 4. Create custom workflows. 5.
It costs less than Claude Opus 5, Kimi K3, GPT-5.6 Sol, Claude Fable 5, and Qwen 3.8 Max.
The numbers are difficult to ignore. → 2.4T total parameters. → Around 95B active per response. → More than 10 days of autonomous coding.
That’s what makes its price-to-performance ratio so impressive.
Not 10 hours. 10 days. Alibaba is trying to turn AI from a tool you constantly prompt into a worker that finishes the entire project.
Will Qwen 3.8 Max, Claude Opus 5, Kimi K3, GPT-5.6 Sol, and Claude Fable 5 match it.
This dropped an hour ago. I've been testing it for weeks in preview. Check the Arena leaderboards: → Front-end code: #4, above Fable 5 → Text Arena:…
The free model won most of the builds. The paid model kept my daily-driver spot anyway.
I ran the same build on both models. Fable 5's version: buggy graphics, movement broken, felt linear.
The article covered news that dropped the same day. Fully automated. Zero logins to the website.
Hermes is the hands. You swap the brain. And this 2.4 trillion parameter brain learned a brand-new skill in 2 minutes flat. Here's what got built
Qwen 3.8 Max came out. It got plugged in and knew the whole business instantly. The secret is Obsidian, a free open-source memory vault.
KAT Coder V2.5 Dev (Q4_K_M) - 162 tokens/sec decode - Single RTX 4090 (24GB VRAM) - 8500+ tokens/sec prefill - 250k context - almost fully in VRAM -…
A 2.4 trillion parameter giant plugged into your chat, memory, tickets, and builds. 99% of your competitors don't have this setup.
And real people ranked it #2 in the world for vision without knowing which model they were rating. Alibaba's new model isn't winning on hype.
It rebuilt a machine-learning experiment, wrote thousands of lines of code and produced improvements that reportedly beat the original method.
A year ago, AI lost focus after 30 minutes. This one built a real tool from scratch. Zero humans stepping in.
265 commits. 127 pull requests. Zero human input. It assigned itself the work, wrote the code, ran the tests, and improved on repeat.
Not 10 minutes. Not 10 hours. 10 days. It starts with an empty folder and ends with finished software.
I ran it against GPT 5.6 Soul, Fable 5, and Qwen 3.8 on real builds. The results: → Games came out laggy, buggy, and basic → Qwen 3.8 crushed it on…