What AI tools and APIs cost, free tiers, credits, rate limits and token-saving tactics. Anything whose main question is "how much" or "what are the limits".
Priority tiers and surge multipliers are repricing AI and API access in real time. Here's what congestion pricing means for SaaS budgets and the build-vs-buy decision.
Extreme quantization lowered the cost threshold for self-hosting. Here's exactly where local LLMs beat the OpenAI API, by token volume, with sources.
DeepSeek beats GPT-6 Astra 35x to 150x per token, but renting GPUs to self-host isn't automatically cheaper. Here's the real break-even number.
Anthropic cut Claude's cache-read price 75% without touching the sticker rate. Here's how token cache pricing works and why it decides your real AI bill.
From a hidden LibreOffice install inside ChatGPT to 5% GPU utilization, here's what's bloating your AI tooling stack and how LLM inference cost optimization fixes it.
Spotify cut Claude Code token spend by 90% with model routing. Here's how orchestration layers slash AI coding costs without a platform rebuild.
Inference is getting cheaper, but evaluating AI agents isn't. Here's why LLM evaluation costs swing 4x-33x and quietly outpace inference spend.
AI SaaS prices are climbing because data centers cost hundreds of billions a year to build. Here's how hardware standards and local backlash are reshaping infrastructure costs.
LLM API prices keep dropping, but thin SaaS wrappers aren't getting richer. Here's what's really happening to margins as GPT-5.6 and GLM-5.3 get cheaper.
A grounded cost breakdown comparing cloud LLM API pricing to owning quantized local models, with break-even math and real benchmark data.
Frontier AI APIs carry 5x to 50x markups over raw compute. Here is the real math on self-hosted inference, routing, and when each wins.