AI Model Inflation: The Unsustainable Subsidy (tomtunguz.com)

Recent developments in AI model pricing highlight a clear divide among major players in the industry. Google’s Gemini 3.1 Pro model has seen its prices triple each year, now priced at $2.00 for input and $12.00 for output. In contrast, OpenAI's GPT-5.5 model maintains a higher price point at $5.00 for input and $30.00 for output, although it was previously subsidized. Meanwhile, Anthropic's Claude Opus 4.7 model has recently decreased its prices, marking a shift from its previous premium strategy. These variations illustrate distinct pricing strategies as the companies navigate a challenging economic landscape. This evolving pricing dynamic is significant for the AI/ML community as it reflects broader market pressures. Vendors appear to adjust their strategies based on market conditions, maintaining lower prices when cash flow is abundant and raising them when financial margins become tighter. Such fluctuations may influence adoption rates among developers and businesses, as cost becomes a crucial factor in choosing AI solutions. The ongoing increase in capex spending further compels companies to reassess their pricing models, signaling an industry at a pivotal juncture in balancing profitability and competitiveness.