The Great AI Divide: Why Proprietary Models Retain Pricing Power Despite Open Source Surge
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Claude 4 Sonnet and Gemini 2.5 Flash show significantly stronger retention than competitors. (Source: OpenRouter State of AI Report 2025)
Retention metrics underscore the specialization trend. While most models lose 60-70% of users within the first month, Anthropic’s Claude 4 Sonnet and Google’s Gemini 2.5 Flash achieve 40-50% Month 1 retention—far exceeding GPT-4o Mini and DeepSeek R1 (25-35%). This suggests models deeply embedded in professional workflows (like coding) develop stronger user loyalty than those used for transient entertainment.
The data ultimately reveals a market segmented by willingness-to-pay: Enterprises prioritize precision and reliability for critical tasks like software development, insulating premium providers from price competition. Meanwhile, open-source models capture volume-driven, cost-sensitive segments like roleplay—a divergence ensuring both ecosystems thrive but under fundamentally different economic rules.
Data Source: OpenRouter State of AI Report (2025). Analysis based on November 2025 usage data.
Original Report: Tom Tunguz - OpenRouter Insights