Distilling DeepSeek into GPT vs Wattfare

The affordability and accessibility of open frontier models has led to their widespread usage among American developers and enterprises.

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you.

About Distilling DeepSeek into GPT

The affordability and accessibility of open frontier models has led to their widespread usage among American developers and enterprises. While this has enabled the benefits of AI to be reaped by more people, concerns have mounted over models influenced by foreign actors, namely the Chinese Communist Party. The worry expressed in Washington and regulated industries is that values, censorship or viewpoints at odds with American ideals are intrinsically transferred along with the gains in intelligence.

About Wattfare

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you. OpenAI-compatible Works with the Vercel AI SDK ~5-min integration. One button connects a user's inference budget to your app, metered, capped, and revocable. The problem AI costs are the one line item you can't predict. Every AI app makes the same uncomfortable bet: price high enough to survive your power users, ration usage so nobody hurts you, or quietly lose money on the heavy ones.