New open source model achieves same score as GPT 5.2 High on AIME2026 I

The int4 weights are ~110GB. That sounds insane, but 128GB unified memory machines already exist, and people are running it today. A few years ago, a 200B-class model was pure datacenter territory. Now it’s “expensive laptop / workstation” territory. That’s a huge shift.

The interesting part isn’t that this model is big. It’s that hardware curves and model efficiency are finally intersecting. Sparse MoE + quantization means frontier-ish reasoning is no longer locked to hyperscalers. We’re basically one consumer hardware generation away from this class of model being normal for power users.