X @Ivan on Tech 🍳📈💰 Head Trader @ Bullmania

Cost Structure and Market Pricing - AI inference costs exhibit the steepest commodity price decline in history, outpacing the historical cost-reduction curves of oil and semiconductors [1] - Chinese AI models currently lead in cost-efficiency at $0.50 per million tokens, representing a 112x price advantage over Anthropic's $56 per million tokens [1] - Competitive pricing landscape for per million tokens: Anthropic ($56), OpenAI ($26), Meta ($1.50), xAI and Google ($1.00), and Chinese models ($0.50) [1] Strategic Industry Outlook - High-cost providers are intentionally maintaining premium pricing to secure time for enterprise contract consolidation and trust-building [2] - The rapid emergence of $0.50 models indicates that low-cost, high-performance AI is no longer theoretical but a functional reality within current laboratory environments [2] - Market incumbents face significant pressure as the timeline for cost parity accelerates from years to months [1][2]