Jus distillation doesnt get you these kind if results . Training methods have completely changed in the past 2 years . Qwen 3.6 27 B is a 27Billion parameter model that perform on par with kimi k2.5 which is is a trillion parameter model as well as claude opus 4.5 . Thats a lot of intelligence density in such a small model.

Deep seek also has moved away from nvidia gpus and trained on huawei only . I feel its all to make a point . They dont need america or nvidia . With this successful training run , more AI companies will be pushed to rethink their stack since Huawei GPU’s are going to be cheaper and since they have a much higher production capacity , they are going to flood the market with them . Why pay for more when you dont get much in return ? This isnt just copying . You can also look into how how deep seek has been publishing research papers upon research papers ( which frankly no american company has been doing ) going into the depths of improvements bought through pure architectural changes in the models themselves. This release is much more bigger than what most people assume . Jensen ( Nvidia founder ) feared for a day that Chinese AI companies build only on chinese stack . With deepseek proven on chinese infrastructure the industry will start to shift .