That’s how increasing performance works. You make a model 10x faster, then you make it think 2x as much.

Its cost is now 1/10th per token, and 1/5th per task.

Basically they have shitty hardware so they have to do a lot of optimization. Think of it like replacing an O(n) algorithm with O(log n).

Anthropic / Open AI think the best path is the most intelligent models deepseek is more focused on tok/$