Local vs Cloud AI: The Economics of Choosing Your Deployment Strategy

Open-source models like Gemma 4 and Qwen2.5-72B have made local AI deployment competitive with premium APIs, fundamentally shifting deployment decisions. This analysis reveals concrete cost breakpoints: self-hosted models become cheaper than GPT-4o when processing over 70K daily output tokens, while API-based services win for lower volumes due to zero idle infrastructure costs. Development teams now have a practical framework for evaluating privacy, latency, and total cost of ownership across different AI architectures.