Anthropic's Opus 4.6 and 4.7 models cost $25 per 1M output tokens.
DeepSeek-V4-Flash costs $0.28 per 1M output tokens.
It's nearly 100 X cheaper and almost 100% as good (not quite, but very close for the majority of tasks).
Is this China weaponizing pricing to destroy the U.S. AI industry? Not at all. It's just math:
DeepSeek engineered an astonishing new method for compressing context (KV cache) to use about 1/10th the memory. That means roughly 10 parallel queries can run on the same GPU hardware that used to only be able to run 1 query. So now there's 10X throughput (I'm simplifying it, but that's the idea).
On top of that DeepSeek innovated in the sparse attention space, allowing their high-parameter models to function with the speed of very small models while still demonstrating the near-full intelligence of large frontier models.
The result? DeepSeek runs faster, smarter, in less memory than anything else.
Thus, they can charge a lot less on a per-token basis and still make a decent profit.
DeepSeek's pricing, in other words, isn't some international punitive price war that's initiated a a loss. It's actually reflective of the far better technology and architecture of the DeepSeek model.
In fact, DeepSeek has published all their science papers on these innovations. It's all public. They aren't hiding it.
The ONLY way for U.S. AI companies to compete will be to adopt DeepSeek architectural innovations, or somehow surpass them on their own.
Even then, electricity is cheaper in China because the Chinese government wasn't retarded about "climate change" and they didn't dismantle their core energy infrastructure like Europe, the USA, Canada and Australia did (all to appease the climate cultists whose assertions never matched reality).
Bottom line? If you want to build a successful AI industry for your nation:
1) Invest in power infrastructure and keep building in every way you can: Nuclear, clean coal, gas, wind, solar, hydro, etc.
2) Don't dumb down your education system. Demand excellence and merit, and stop handing out college scholarships based on people being "woke."
3) Don't reward GREED and corporate secrets. Encourage industry-wide sharing of knowledge and innovation. Encourage open source.
The USA didn't do these things. China did. That's why China is winning the AI race to superintelligence. And that's why the USA is at least two decades behind on power infrastructure and education excellence.
The race is already over, in other words.