Cloud providers like AWS, GCP, and Azure offer trade-offs for cost-effective machine and deep learning model deployment. AWS provides extensive services but may be costlier. GCP offers competitive prices and strong ML offerings. Azure integrates with Microsoft tools. The choice depends on budget, needs, and scalability for cost-effective deployment.