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This trio of models are fantastic releases for local ai enthusiasts from the Alibaba team and are pushing the edge of both my hardware and my expectations. The Instruct and Reasoning models are both based off a recent checkpoint, 2507, which is included in the ridiculous naming schemes we are subjected to from these brilliant scientists. This includes a FP8 for the Instruct and and Thinking variants so you will see these denoted as names like Qwen3-235B-A22B-Thinking-2507-FP8 and Qwen/Qwen3-235B-A22B-Instruct-2507-FP8. These are Mixture of Expert Local LLMs (MoE) and feature 22B activated parameters out of 235B total. The Coder variation Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8 features 35B active out of 480B total. Qwen team has entered shipped amazing bits, run them if you can. They are a challenge to run as local Ai and get good performance!
Video that accompanies this review here:
Qwen 3 Reasoning Local Ai Review
OMG STOP THINKING! (likely you when you run this hahaha) Man this is a good reasoner. Really out of left field I was not expecting the level of though and consideration to surface. This is a vibe shift. A major one. In Local Ai, we have not experienced reasoning like this yet.
Review Questions from the Video
Armageddon with a Twist
Question
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Question
Creative Cat SVG
Create the SVG code for an image of a cat walking on a fence. Do not take more than 2 thousand tokens.
I’m not sure. It is close but those eyes.