Recently, the global large model market has witnessed a highly anticipated price and ecosystem adjustment. Anthropic officially launched the low-cost lightweight model Claude Haiku 5.5, with its unit price dropping to one-tenth of the previous generation, and the bare API price for short context is even lower than some domestic small models. At the same time, OpenAI also announced the full release of GPT-6 and lowered the price of the same-generation small model GPT-6 Luna to the free tier of ChatGPT. Both overseas giants simultaneously reduced the prices of small models during the same period, triggering high attention from the industry.

From a deeper business logic perspective, these two companies are not relying on low prices to lose money in order to attract traffic, but rather have established a mature "tiered pricing system." They use low-cost small models as a traffic entry point to attract a massive user base, while real profits rely on high-priced complex task processing, enterprise-level services, and developer subscriptions. This scientific business pyramid structure ensures the sustainability of the low-price strategy.

For the domestic large model market, this wave of low-price trend from overseas currently has limited impact. Domestic top models, supported by their own advantages in the Chinese language, high-quality localized services, and extensive private deployment demand, have solid barriers that make it difficult for overseas products to shake the existing market structure in the short term. However, domestic manufacturers will inevitably face a certain degree of user diversion pressure in the overseas market.

Facing this trend, domestic manufacturers do not need to blindly follow the homogenized price wars abroad. The current core task is to complete and improve their own business structure, building a diversified revenue system that is not solely dependent on token price differences, thus firmly establishing themselves in the fierce global competition.