Welcome to LLMflation: LLM inference cost is going down fast
The single chart that explains why what is unaffordable today is cheap next year.
Open a16z.com →Token prices for equivalent quality fall roughly 10x a year, yet agent bills keep rising because agents burn 50 to 500 times the tokens of a chat: every step re-sends the whole history. A simple task can cost a fraction of a cent while a long agent session runs several dollars. The levers that matter: prompt caching (up to 90% off repeated context), routing easy steps to cheap models, trimming history, and measuring cost per completed task rather than per token.
A quick orientation. The real value is below: resources worth your time, from people who've actually done it.
The single chart that explains why what is unaffordable today is cheap next year.
Open a16z.com →The headline numbers in thread form for a two-minute read.
Open x.com →Names the paradox every founder hits: cheaper tokens, bigger bills.
Open navyaai.com →Explains the quadratic context growth that quietly multiplies agent costs.
Open leanopstech.com →How large buyers model agent economics, useful when selling to them.
Open ey.com →Concrete per-task cost ranges from cheap chatbot turns to $5+ agent runs.
Open cowork.ink →Walks through the exact math of an agent whose unit economics collapse.
Open medium.com →The feature that cuts up to 90% off repeated context, table stakes for agents.
Open anthropic.com →One page comparing how each provider's caching discount actually works.
Open prompthub.us →Why KV-cache hit rate is the one production metric that decides agent margins.
Open manus.im →Estimate a task's cost across models before you commit to one.
Open tokencalculator.ai →Live per-model pricing so your cost model never goes stale.
Open usagepricing.com →Shows 72% of production cost sits outside the model invoice.
Open optimumpartners.com →The full stack of costs behind a token price, for founders selling AI products.
Open introl.com →A hands-on implementation guide with before-and-after cost numbers.
Open digitalocean.com →Investors debate agent pricing and unit economics in plain language.
Listen on Spotify open.spotify.com →Saves you from the premature self-host-a-model cost trap.
Open ml6.eu →Why the price curve should keep falling, and what that means for your roadmap.
Open weightythoughts.com →