Source#scmp

### SummaryThe article discusses OpenAI’s aggressive price reductions for its GPT-5.6 model family in response to growing competition from Chinese artificial intelligence companies. OpenAI cut API pricing for GPT-5.6 Luna, its lightweight model, by up to 80%, reducing costs to US$0.20 per million input tokens and US$1.20 per million output tokens. It also lowered prices for GPT-5.6 Terra while introducing a faster version of GPT-5.6 Sol, aiming to provide better performance and value for developers.According to the report, these price cuts immediately improved the competitiveness of GPT-5.6 Luna, placing it above several Chinese rivals, including Zhipu AI’s GLM-5.2 and MiniMax’s M3, in “intelligence-per-dollar” rankings compiled by Artificial Analysis. The move reflects increasing pressure on Western AI firms as Chinese companies rapidly improve their models and offer low-cost alternatives.The article highlights recent developments among Chinese competitors, particularly Moonshot AI’s open-weight Kimi K3 model, which reportedly outperformed OpenAI’s GPT-5.6 Sol and Anthropic’s Claude Fable 5 on Arena AI’s benchmark for front-end web development tasks. However, after Moonshot AI increased Kimi K3’s pricing, OpenAI’s updated models became more cost-effective.Despite OpenAI’s reductions, several Chinese AI models remain highly competitive. Examples include MiniMax’s M3 and DeepSeek’s V4-Pro, which continue to offer very affordable pricing. Industry analysts note that cost efficiency has become a crucial factor as AI providers compete for developers and enterprise customers worldwide.### ConclusionThe article illustrates the intensifying global AI competition, particularly between OpenAI and emerging Chinese AI firms. OpenAI’s substantial price cuts are a strategic effort to retain market share by improving the value proposition of its models. While Chinese companies continue to challenge Western leaders through strong performance and competitive pricing, OpenAI’s response demonstrates that affordability is becoming just as important as technical capability in the AI industry. Going forward, continued innovation, lower costs, and improved performance are likely to drive the next phase of competition in the global AI market.