Are frontier models actually becoming less important?

I’m genuinely mind-blown by what’s happening with AI models right now. On one side, you have GPT-6-class frontier models that are just… insane. The level of capability is getting hard to wrap your head around. And at the exact same time, you have models like DeepSeek V4.1 becoming exceptionally good while costing almost nothing in comparison. That gap, or maybe the fact that the gap keeps shrinking, is what fascinates me most. Frontier models keep pushing the ceiling higher, obviously. But underneath them, smaller and cheaper models keep getting optimized at an incredible pace. What felt like frontier-level capability not that long ago keeps getting compressed into something faster, smaller and dramatically cheaper. And then there’s Claude. At least this week, it feels like Claude suddenly took a pretty serious hit in that race. Not because it became worse overnight, but because everything around it is moving so ridiculously fast. Which brings me to the part I find even more interesting: China. My current intuition is that Chinese AI players could end up benefiting enormously from this dynamic. Not only because they may be able to iterate through models faster and cheaper, but because the consequences could extend well beyond benchmarks and model rankings. There’s a geopolitical dimension here that I think we’re still underestimating. If intelligence keeps getting cheaper, more efficient and easier to deploy, does having the absolute best frontier model matter as much as we currently think? Or does the real advantage eventually go to whoever can industrialize intelligence at massive scale and at the lowest cost? Curious where everyone lands on this. And yes, small confession: I dictated all of this in French and had it turned into English 😅 Somehow it’s still easier to get the essence of the thought out that way. Consider this a voice note disguised as a post. submitted by /u/Forsaken-Storage-154 [link] [comments]

Source: r/ollama | 2026-09-11

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