Qwen3.8 Max is getting open-sourced tomorrow and before it does I want to state my opinion on the model after rigorous use. Although I am a Qwen ambassador this is my full real opinion. The model from my experiences acts more like Opus than it does Sol, it's less programmatic and has more a expressive personality. On lower thinking modes (low, medium) this expressive-ness is very clear, it's more opinionated, moody, and definitely more likely to make irreversible mistakes. Qwen3.8 has been my daily driver for a couple weeks now and I want to say the output in omp is some of the best I've ever got, Qwen3.8 + OMP > GPT-5.6 Sol + Codex, this is a hard truth to straddle as I send hundreds of dollars/month to OpenAI for codex, but it's ability to hold this harness by the neck and work like a dog is truly unbelievable. it orchestrates sub-agents really well, and although a (very large) token burner it never disappoints. However, it still falls far behind in real-world developer experiences and definitely behind Sol/Fable in "out of the box" thinking. This thing is the biggest work horse model I've ever tested and can be set on a task to run for days without any interruptions (they really didn't lie there), to the point where it can spend hours doing extremely deep research on a indirect task. Also, dont use xhigh thinking, waste of tokens.

😃Meet Qwen3.8-Max On Qwen Cloud — our most capable model to date. Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all! 👏Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters: - Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub： - Real work, real results: Production-quality deliverables across hundreds of professions. - Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy. - Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, execution, and self-correction. 💰Pricing: Input: $2.0 / M tokens Output: $6.0 / M tokens Implicit Caching: $0.25 / M tokens Start building with Qwen3.8-Max!🚀 👇Try Qwen3.8-Max and get your API KEY on Qwen Cloud

I spent $10,000 on Claude Fable 5.1 this week. It one shotted a Mario Kart remake. Built a Swift app end to end with zero bugs. Built the system that processes every support ticket for my $229K ARR company. Nothing else designs or reasons like this. But it hallucinates more than any Claude model ever has. It costs more than Fable 5. It burns three times the tokens GPT 6 Astra does on the same task. And a $200 Max plan gets you about 30 minutes of it. Fable 5.1 vs GPT 6 Astra. Full review out now.

I might’ve found a way to make yesterday’s Blender to Real video ~5,000x faster (and better imo) lol. I put the scene together with GPT-6 Astra and PATINA in about 30 minutes. But it had around 7 million polygons, so rendering took a while. I split it into chunks across 8 GPUs and rendered it in about 30min. My estimate for an M4 Pro was around 40 hours. Obviously, I could’ve optimized the settings, but that’s for the version I posted yesterday. Since then, I’ve been trying different prompts to get H3 Max to follow the Blender animation while making the buildings and materials actually look real. I think I finally got it. The 30s video took about 30s to generate with H3 Max. Compared to that estimated 41h render, that’s roughly 5000x faster :) The part I’m most excited about is how much control this gives me. GPT-6 Astra can build a detailed 3D prototype in minutes, and I can use Blender to set up the camera and movement however I want, then have H3 Max follow it.