A spending limit is a circuit breaker, not a budget. When it trips your API stops serving traffic, which means the limit protects you from a runaway bill by causing...
The reason AI tools mangle long files is almost never comprehension. It is that asking a model to reproduce a 2,000-line file guarantees a truncated or silently altered copy. The...
Most systems send every request to one model, and that single decision is usually the largest avoidable line on the bill. Classification, extraction and routing do not need a frontier...
Assume every token you send to a model is written to a log you do not control. Not because providers are careless, but because prompts pass through your own logging,...
A flat monthly subscription beats the API until your usage crosses a break-even point, and that point is lower than most people assume. The calculation is not about which is...
Batch processing is 50% off on Anthropic, and it is the easiest discount in the whole pricing surface to claim: the same request, the same model, half the price. The...
Prompt caching charges repeated input at a fraction of the normal rate, and for any workload with a long fixed system prompt it is the single largest cost reduction available....
Four things drive an LLM bill, and the price per token is the least interesting of them. Resent conversation history, output tokens costing several times more than input, retries, and...
Vision requests fail for two unrelated reasons that look similar: the HTTP request body is physically too big, or the images consume more of the context window than you have...
A stream that dies mid-response is usually killed by something between you and the provider, not by the model. Proxies, load balancers and serverless platforms enforce idle and total-duration timeouts...