Model size is no longer the whole story. In token-aware intelligence, unit economics decide who actually wins. @OpenAI's GPT-5.6 Sol High and @Kimi_Moonshot's Kimi K3 land in a similar capability tier, but cost matters just as much as benchmark scores. The real race is not just for the smartest mo
OpenAI's GPT-5.6 Sol High and Kimi K3 from Kimi_Moonshot are compared on capability and cost, highlighting that unit economics are as important as benchmark scores.
Model size is no longer the whole story. In token-aware intelligence, unit economics decide who actually wins. @OpenAI's GPT-5.6 Sol High and @Kimi_Moonshot's Kimi K3 land in a similar capability tier, but cost matters just as much as benchmark scores. The real race is not just for the smartest mo
Anyone loudly touting how much cheaper Kimi K3 is than Western LLMs is deliberately ignoring how much more expensive it has become compared with previous Chinese LLMs.
On Kimi K3 pricing being higher than DeepSeek etc at $15/m tokens: 1. It is optimised so it has very high cache hit rates (90% lower cost) 2. It is not optimised for large RAM (B300 etc) node clusters as @Kimi_Moonshot doesn't have access to them! Cost per token lower there