Practical guides on AI cost attribution, unit economics, and reducing your OpenAI and Anthropic API spend.
Free AI cost tools →Your OpenAI dashboard shows total spend, not who's driving it. Here's what actually works for cost attribution by customer, what wastes engineering time, and what changes once you've also got Anthropic and Google in the mix.
Read articleGPT-4o costs $2.50/1M input. GPT-4.1 costs $2.00/1M — about 20% less for comparable text quality. When that gap matters, when GPT-4o is still the right call, and the bigger lever most teams miss.
Read articleGPT-4o mini is 10–13× cheaper than GPT-4.1. For some workloads the quality gap is invisible. For others, one bad output costs more than a year of token savings. Here's how we figured out which was which.
Read articleLong-context workloads are input-heavy, and input pricing varies wildly between providers. Real numbers for OpenAI, Anthropic, and Google at 80K tokens — and the trade-off that decides which one wins for you.
Read articleOpenAI's Batch API gives a flat 50% discount for jobs that can finish within 24 hours. We saved $1,800/month on three workloads. Here's how to figure out which of yours qualify — and which definitely don't.
Read articleAI cost per customer and unit economics for SaaS. Why total AI spend isn't enough — and how to get cost attribution for pricing and board conversations.
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