Anthropic Claude API Review — Pricing, Caching and When It Pays Off
A hands-on look at the Anthropic Claude API for developers — strengths, prompt caching economics, privacy posture and how to estimate your real monthly cost.
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A developer-focused review of the OpenAI API — model breadth, caching and batch discounts, ecosystem maturity, and how to keep your monthly spend predictable.
Self-hosted LLM Inference Review — Open Weights on Your Own GPUs
When does running open-weight models yourself beat a managed API? A practical review of self-hosted LLM inference for privacy-first teams, with the real cost trade-offs.
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All guides →How to Cut Your LLM API Costs Without Hurting Quality
Nine practical, battle-tested ways to reduce LLM API spend — prompt caching, model routing, output discipline, batching and more — with the trade-offs spelled out.
Self-hosted LLM Cost Breakdown — Does It Actually Beat a Managed API?
A worked example comparing self-hosted open-weight inference against managed LLM APIs, including hardware amortization, power, ops time and the all-important utilization break-even.
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