Post-training is beginning to see the light of economic viability, which 6 months ago many VCs didn’t believe in it.
When a model that is 5× cheaper than Opus 4.8 and can beat on PostTrainBench, the economics start to change.
The marginal cost of shaping intelligence is falling, and many enterprise cos start to realize that, we just need to teach them better. That means more businesses can own models trained on their own data, tuned to their own judgment, and improved inside their own feedback loops.
GLM 5.2 is 5x cheaper than Opus 4.8 and 11x than Fable 5, yet it tops PostTrainBench.
That’s exciting because lower costs make personalized intelligence economically viable. Every company and country should be able to own models trained on its own data and have sovereignty over it. The future is millions of models, each crafted around the data, values, and decisions of the people who rely on them.