CatalystNeuro Maps 100x Intelligence Cost Collapse

Falling inference prices are turning intelligence into abundant infrastructure, but the scarce resources will be judgment, data quality, and reliable orchestration.

• –Cheaper models make exhaustive document review, monitoring, and multi-pass verification economically practical
• –Jevons paradox means lower cost per task is likely to increase total token consumption
• –Developers should treat models as swappable components and route tasks by required capability
• –Open-weight and distilled models are rapidly commoditizing capabilities once reserved for premium frontier systems
• –At 100x cheaper intelligence, deciding what to measure and validating outputs matter more than raw model access