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Tokenmaxxing Is Over. It's All About Modelmaxxing Now.
Business Insider • • general
Key Points:
- AI startup Bold Metrics' CTO Morgan Linton directs his engineering teams to use different AI models based on task complexity, optimizing efficiency without strict token limits.
- The AI industry is moving away from "tokenmaxxing," where companies encouraged maximum AI usage, towards strategic "model switching" to balance cost and performance by assigning simpler tasks to cheaper models.
- Users like UX designer Tanvi Pisal and engineer Alejandra Thomas adopt cost-saving tactics by testing models for specific strengths and combining tools, reducing wasted tokens on less critical tasks.
- Model routing startups, such as Rayline and OpenRouter, are gaining popularity by automating task assignment to appropriate AI models, helping companies manage API costs and improve token efficiency.
- Despite the trend toward cost-conscious AI use, some companies still default to the latest, most expensive models due to convenience or reluctance to invest effort in understanding model capabilities.
