Self-Hosted LLM vs API: Cost Analysis from $0.70 to $2.00 Input

A detailed cost analysis comparing self-hosted LLM deployments against cloud API pricing provides crucial economic data for organizations deciding between building internal inference infrastructure and using managed services. The analysis breaks down per-token costs ranging from $0.70 to $2.00 for input, revealing the infrastructure costs and trade-offs inherent in each approach.

This benchmark is particularly valuable as it quantifies the hidden costs of self-hosting—including hardware amortization, electricity, cooling, and operational overhead—against the convenience and scaling flexibility of APIs. For organizations with consistent, high-volume inference workloads, the analysis likely demonstrates clear self-hosting advantages, while sporadic or variable usage patterns may favor cloud APIs despite higher per-token rates.

Understanding these economic fundamentals is essential for practitioners evaluating local deployment architectures, helping inform decisions about infrastructure investment, model size selection, and batch processing strategies.

Read the full article on Google News.

Source: Google News · Relevance: 8/10