LLM Economics
Token math, model selection, and the true unit cost of every generation.
LLM EconomicsMoonshot AI's 300 Billion Daily Tokens: What It Signals About the Model Market
A Chinese lab targeting $2B in revenue is notable, but the more useful number for founders is the sheer token throughput reshaping provider economics.
LLM EconomicsWhat Nvidia's Vera Rubin Platform Means for Your Token Costs
Better performance-per-watt on the hardware side eventually shows up as lower token prices, but the timeline and who captures the savings first is worth understanding.
LLM EconomicsThe Real Total Cost of an LLM Gateway: Why the License Fee Is Never the Whole Story
A vendor comparison of LiteLLM's enterprise pricing against a managed alternative shows why a $250/month license number hides most of the actual 3-year cost.
LLM EconomicsWhat Prompt Caching Actually Saves: The Token Math Behind LLM Gateways
Once caching is on, output tokens dominate your bill, so the input-token discounts everyone advertises matter less than you'd think.
LLM EconomicsDoes AI Pricing Really Need to Fall 90%? What the Token-Cost Math Actually Shows
No, prices don't need to crash 90% overnight, but the trend underneath the headline is real, and it changes how you should price any AI feature you ship this year.
LLM EconomicsIf AI Coding Is Not Winner-Take-All, Gross Margin Decides Who Survives
Cognition raised at a $48B valuation, which TechCrunch reads as investors betting that AI coding is not a winner-take-all market, and in a market with many survivors the winners are usually decided by unit economics rather than by being first.
LLM EconomicsA 33x Price Gap for the Same Model Is Not a Market. It Is a Tax on Not Checking.
A developer who tracks LLM API list prices daily reports a 33x cost gap for the identical model depending on which provider you call, which means most of what teams call their AI cost is really a procurement decision they never made.
LLM EconomicsThe Same Model, 14 Providers: Why Your LLM Bill Depends on Where You Run It
Choosing a model sets your capability ceiling, but choosing the provider that serves it sets your actual bill, because price, throughput and prompt caching all differ between endpoints running the identical weights.
LLM EconomicsAI Agent Cost Per Hour: Why the $6 Headline Is a Floor, Not a Bill
An AI agent quoted at under $6 an hour is priced on output tokens at a single stream, so your real bill depends on input volume, how many agents you run in parallel, and how often work has to be redone.
LLM EconomicsCost Per Token vs Cost Per Task: Why LLM Pricing Comparisons Keep Misleading Founders
A model priced 2.5x higher per token can still produce a smaller bill, because what you actually pay for is tokens consumed per task, not the rate on the pricing page.
LLM EconomicsCompute Capacity Belongs in Your AI Cost Model, Not Just Your News Feed
When a provider adds capacity and raises your rate limits, your effective cost per user can fall even though the list price per token has not moved at all.
LLM EconomicsA Cheaper Model Does Not Lower Your AI Bill: What Fable 5.1 Actually Changes
Anthropic's Fable 5.1 is built to reduce token cost, but your monthly AI bill is set by cost per completed task, not by the number on the model card.
Pricing math, in your inbox.
One short note a week on AI pricing, token economics, and margin. No spam, unsubscribe anytime.