What is a token in LLM APIs?
A plain-language explanation of tokens and why they drive AI API bills.
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Guides, tutorials, and concepts that connect understanding to calculation—so you can estimate spend, compare models, and optimize with confidence.
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Core explainers that unlock clearer calculator and comparison decisions.
A plain-language explanation of tokens and why they drive AI API bills.
Read articleA practical framework for turning traffic assumptions into monthly OpenAI, Anthropic, and Google API spend.
Read articleA plain explanation of per-1M input and output prices—and why your real 1M-token bill depends on the mix.
Read articleWhy output tokens often dominate the bill, and how to estimate both sides before you call an API.
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25 articles covering budgets, routing, and core concepts.
Why output tokens often dominate the bill, and how to estimate both sides before you call an API.
Read articleHow growing context, tool-result tokens, and multi-turn loops drive agent API bills—and how to estimate them.
Read articleSeparate stable prefixes from dynamic tokens, estimate hit rate, and account for cache-write fees when planning spend.
Read articleHow to set a latency SLO, compare planning p50 latency with list prices, and avoid overpaying for speed you do not need.
Read articleUse task presets, capability floors, and evals so cost routing stays safe in production.
Read articleConnect token costs, adoption, and pricing so AI features stay within a healthy COGS band.
Read articleHow to price AI wrappers and products so provider COGS, payment fees, and overhead still leave healthy margin.
Read articleHow UK, EU, Australian, and Canadian teams should budget OpenAI and Anthropic invoices that arrive in dollars.
Read articleExport model and token columns, match them to list prices in the browser, and spot invoice variance.
Read articleCompare GPU-hour economics to hosted token prices, and know which assumptions flip the decision.
Read articleHow 8K vs 128K vs 1M prompts change token bills—and when caching or retrieval beats stuffing everything in.
Read articleRPM, TPM, concurrency, and daily caps decide your real ceiling—often before list price does.
Read articleUse role weights and hard caps so a few power users do not consume the whole monthly AI pool.
Read articleA plain explanation of per-1M input and output prices—and why your real 1M-token bill depends on the mix.
Read articleHow rate limits, timeouts, and partial billing turn a “successful job” budget into extra attempts and spend.
Read articleTurn pages into tokens, account for chunk overlap, and decide when an LLM extract pass is worth the spend.
Read articleWhy streamed and buffered responses usually share list prices—and when early cancel or wait economics tip the comparison.
Read articleEstimate LLM spend when you split traffic or escalate hard cases from a cheap primary to a premium model.
Read articlePrice an availability path: primary success rate, failed-attempt billing, and secondary spend during blips or outages.
Read articleBreak eval spend into candidate generation and judge scoring—and see why rubric dimensions multiply the bill.
Read articlePrice generate → critique → filter pipelines and understand why accept rate drives over-generation spend.
Read articleLLM rerank adds calls, but feeding top-N instead of top-K into the generator can cut context tokens enough to win overall.
Read articleA practical framework for turning traffic assumptions into monthly OpenAI, Anthropic, and Google API spend.
Read articleLearn how to compare batch and realtime pricing for the same token workload with CentsPerToken.
Read articleA plain-language explanation of tokens and why they drive AI API bills.
Read article