Controlling token usage is crucial for SaaS companies and developers working with large language models (LLMs) to maintain profitability and scalability. Token optimization is not only a technical task but also a financial one, as inefficient prompts can inflate costs. Effective strategies include understanding token usage patterns, optimizing prompt design, caching and reusing outputs, splitting tasks across different models based on complexity, implementing user quotas and limits, compressing context, and automating cost monitoring. Eden AI offers a solution that centralizes token consumption management across multiple providers, facilitating real-time monitoring and cost efficiency. By employing these strategies, developers can reduce costs significantly while maintaining performance, making AI infrastructure more predictable and scalable.