LLM Economics
Token math, model selection, and the true unit cost of every generation.
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LLM EconomicsToken Pricing Economics: Will LLM Providers Keep Their Pricing Power?
Benedict Evans argues that today's token prices reflect a temporary supply crunch and that every visible market dynamic points toward frontier models becoming commodity infrastructure, which means founders should plan for falling LLM costs rather than assume today's rate cards.
LLM EconomicsPaying Twice for AI: What Nadella's Warning Means for Your LLM Costs
Satya Nadella argues that companies buying proprietary AI pay twice, once in cash for tokens and again in the proprietary knowledge their usage teaches the model, and that second payment should change how you count AI costs.
LLM EconomicsTokenizer Inflation: Why $/1M Token Prices Are Not Comparable Across LLMs
The same file can become up to 73% more tokens on one frontier model than another, so a $/1M token price is only comparable after you adjust for each model's tokenizer.
How to Think About Token Pricing: 4 Mental Models for AI Founders
A recent Hacker News front-page debate about LLM token pricing keeps circling four mental models, and the one you adopt quietly determines how your product should be priced.
LLM EconomicsThe $3 Trillion AI Question and the Only Version of It You Can Answer
Sequoia's David Cahn now estimates 2026 AI infrastructure spending at $1.5 trillion, implying roughly $3 trillion in revenue to justify it, a question no founder can answer at industry scale but every founder must answer at product scale.
Token Economics for AI Budgets: Why Falling LLM Prices Don't Lower Your Bill
The FinOps Foundation argues that tokens are the atomic unit of AI value, and that consumption growth and workload mix, not falling per-token list prices, now determine what organizations actually spend.
LLM EconomicsThe $165K Rewrite: What Bun's 11-Day AI Migration Says About Token Economics
Bun's team compressed a Zig-to-Rust migration estimated at 1-2 years of engineering into 11 days by spending roughly $165K on AI coding agents, one of the clearest public datapoints yet on what large token budgets actually buy.
LLM EconomicsGPU Cost Per Million Tokens in 2026: What Self-Hosting an LLM Really Costs
Fresh benchmarks across five GPU types put self-hosted LLM inference between $0.16 and $3.58 per million tokens, but your real cost is set by utilization, not by the GPU's hourly rate.
LLM EconomicsOpen Source vs Frontier AI: Why Volume and Spend Tell Opposite Stories
Short answer: open-source models are winning token volume while frontier labs keep most of the spend, because the two serve different phases of the same lifecycle, discovery versus production.
LLM EconomicsProvider Substitution: The AI Cost-Cutting Lever Microsoft Just Pulled
Microsoft is now routing a share of Excel and Word prompts to its own MAI models instead of OpenAI and Anthropic, a direct move to cut AI costs and protect margins.
LLM EconomicsThe Token Apocalypse: Surviving Runaway AI Agent Token Costs
Short answer: AI agents multiply token consumption by looping, retrying, and chaining calls, so the fastest way to protect margins is to route cheaper work to the right model and model provider switches against your real usage before costs spiral.
LLM EconomicsThe Real Cost of AI: What Google and Amazon's Emissions Spike Signals for Your Token Margins
The advertised price per token is not the real cost of AI: Google's carbon emissions jumped 25% and Amazon's 16% in a year, a signal that the energy behind every inference call is getting more expensive, not less.
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